Forward Deployed Engineer jobs in Israel

We are seeking a Principal Forward Deployed Engineer to serve as a technical authority, enterprise developer advocate, and field-to-engineering leader across the Infrastructure Software Division (ISG). In this high-impact role, you will embed with our largest, most complex enterprise accounts to revolutionize how internal and external developer teams build, deploy, and scale AI-native applications on our core infrastructure. As a Principal member of the core Engineering organization, you will operate at the intersection of Developer Experience (DevEx), API Architecture, and LLM/AI Platform Engineering. You will eliminate enterprise developer friction, author developer-facing APIs, SDKs, and reference implementations, and directly influence the multi-year technical roadmap for our AI and cloud-native software suite. Unlike traditional pre-sales or post-sales roles, the Principal FDE functions as a senior extension of R&D in the field. Your mission is to establish world-class developer workflows, standardize LLM application delivery patterns, and build a high-bandwidth feedback loop that turns field innovations into platform features. Key Responsibilities Developer Experience (DevEx) & API Leadership: Serve as the primary technical bridge between customer application developers, platform engineering teams, product managers, and C-level executive architects. Design, validate, and standardize enterprise-grade REST, gRPC, and GraphQL APIs, custom Kubernetes Custom Resource Definitions (CRDs), and software development kits (SDKs). Establish end-to-end continuous delivery pipelines, GitOps patterns (ArgoCD, Flux), and self-service developer portals. Build developer CLI tools, testing harnesses, and automation frameworks to reduce cognitive load for internal application teams adopting our vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) platforms. AI Engineering & LLM Platform Architecture: Architect production-ready environments for real-time LLM inferencing, Agentic frameworks, and Retrieval-Augmented Generation (RAG) pipelines on high-density GPU clusters. Standardize integration patterns for developer-facing AI frameworks (LangChain, LlamaIndex, AutoGen, vLLM) and expose clean, enterprise-compliant API gateways for model serving. Set technical execution patterns for containerizing, orchestrating, and tuning high-throughput AI runtime engines (Ray, vLLM, SGLang, Spark) alongside vector databases and caching layers. Code Contribution & Strategy: Write production Go, Python, and TypeScript code in the field, building platform operators, custom controllers, and AI wrappers, and upstream those contributions directly into core ISG product codebases. Systematically translate developer friction points and field workarounds into concrete architectural requirements for VP/Director-level Product Managers. Establish best-in-class API design practices, developer documentation standards, and code quality benchmarks across the broader FDE organization. Key Qualifications Technical Leadership & DevEx Stature: 10+ years of software engineering experience, with 5+ years driving Developer Experience (DevEx), API design, or AI platform architectures at scale. Proven track record commanding technical credibility with C-suite leadership (CTOs, Chief AI Officers) while remaining deeply hands-on with staff-level software developers and systems engineers. Deep API & Kubernetes Platform Primitives: Authority-level mastery of API Design Principles (RESTful design, gRPC, OpenAPI specifications, API Gateway integration). Deep understanding of Kubernetes internal mechanics, custom controllers, Custom Resource Definitions (CRDs), Operator patterns, and Cluster API (CAPI). Proficiency in establishing GitOps workflows and infrastructure-as-code automation. LLM, Generative AI & Data Ecosystem: Hands-on experience building or supporting LLM/Generative AI application stacks, including frameworks and orchestration (LangChain, LlamaIndex, Haystack, Semantic Kernel, Ray, vLLM, SGLang, Triton Inference Server), vector databases and search (Milvus, Qdrant, Pinecone, pgvector, Weaviate), and streaming and caching (Apache Kafka, Redis, Pulsar, Apache Spark, Flink). Experience integrating virtualized GPU workloads (NVIDIA vGPU, MIG, GPUDirect RDMA) into developer-accessible API primitives. Systems & Software Engineering: Advanced proficiency in Go, Python, and TypeScript/Node.js for systems-level development, custom controller authorship, API microservices, and AI workflow integration. Comprehensive fluency across multi-cloud enterprise Kubernetes distributions (EKS, GKE, AKS, OpenShift, Rancher) and standard application network/storage abstractions. Experience & Education: Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred (relevant years of equivalent experience considered in lieu of a degree). 17+ years of total professional experience in technical software roles required. Compensation and Benefits: The annual base salary range for this position is CAD 115,600.00 To CAD 185,000.00. As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive a competitive new hire equity grant, as well as annual equity awards, subject to relevant plan documents and award agreements. Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, RRSP participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays; and paid sick leave and vacation time. The company follows all applicable laws for leaves of absence. Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law. If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

Salesforce is hiring Senior Forward Deployed Engineers — the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you. The Senior Builder Experience Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly. AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference. Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution. Continuous Innovation: You're expected to stay at the forefront — piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers. What You'll Actually Be Building Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers — from architecture decisions through production handoff. Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems. Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms. Resolve the technical blockers that other engineers can't — data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements. Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time. Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from. Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in. Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed. Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap. Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship. You're Our Senior Forward Deployed Engineer If… You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments. You have a degree in Computer Science or a related field You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others. You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts. You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks. You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs. You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery — and the judgment to know when "fast" is the wrong call. You've mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling. You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders. You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You're excited to travel ~25% of the time, embedded with customer engineers. Nice-to-Haves Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect) Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers Track record of influencing enterprise software product roadmaps through field engineering insights Open-source contributions, published technical writing, or conference presentations Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations: If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Posting Statement: Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Warp Speed builds on years of excellence in manufacturing to resurrect & revitalize the American Industrial Base. FDSEs on Warp Speed work directly with customers from the factory floor to the board room to understand their greatest problems and design and implement solutions using data. As Forward Deployed Software Engineers (FDSEs) you'll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! The Original Forward Deployed Software Engineer At Palantir, the Forward Deployed Software Engineer (FDSE) role isn't just a job title: it's the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you'll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it's "How do we predict and mitigate wildfire risks to optimize power grids?" or "How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?", you'll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You'll have the rare opportunity to gain deep insight into and directly influence some of the world's most critical industries and institutions. By building on Palantir's powerful platforms leveraging integrated cutting-edge AI, you'll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities As an FDSE, you'll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. Your contributions will have a direct impact on our customers' missions and the real world. You'll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects, including: Collaborating with fellow engineers on architecture and design decisions Wrangling massive-scale data and using AI to accelerate and enhance critical operations Developing custom applications tailored to customer needs Engaging directly with customer stakeholders, from technical teams to executives Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value What We Value A highly analytical approach and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools Experience or curiosity about working with and using large scale data to take on valuable business problems Ability to collaborate efficiently in teams of technical and non-technical individuals, and comfortable working in a dynamic environment with evolving objectives and iteration with users What We Require U.S. Person Required Must be graduating in December 2026 or Spring 2027 Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences Salary The estimated salary range for this position is estimated to be $135,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits: Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance. Employees are automatically covered by Palantir's basic life, AD&D and disability insurance. Commuter benefits. Relocation assistance. Take what you need paid time off, not accrual based. 2 weeks paid time off built into the end of each year (subject to team and business needs). 10 paid holidays throughout the calendar year. Supportive leave of absence program including time off for military service and medical events. Paid leave for new parents and subsidized back-up care for all parents. Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation. Stipend to help with expenses that come with a new child. Employees can enroll in Palantir's 401k plan. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Principal Forward Deployed Engineer II for our Frontier Engineering team. This team embeds directly with Snowflake's most strategic customers to design, build, and deploy production-grade AI systems. At the IC6 level, you serve as the senior technical authority and architectural leader for a portfolio of high-impact customer engagements. You operate as a peer technical advisor to CTOs, VPs of Engineering, chief architects, and heads of data and AI, setting technical direction that extends beyond individual accounts and influences how Snowflake delivers AI solutions at scale. AS A PRINCIPAL FORWARD DEPLOYED ENGINEER II YOU WILL Serve as the senior technical authority and architectural leader for customer engineering leadership: Build durable, peer-level relationships with CTOs, VPs of Engineering, chief architects, and heads of data and AI at Snowflake's most strategic accounts. Lead architectural steering, technical reviews, and executive strategy alignment while shaping multi-year AI roadmaps across a portfolio of customers. Drive Architecture and Technical Strategy Across a Portfolio of High-Stakes Deployments: Set the technical strategy, architecture, and execution model across multiple complex, high-visibility AI engagements. Own end-to-end outcomes, arbitrate the most difficult cross-system tradeoffs, and establish patterns that scale across customers, teams, and business units. Influence Snowflake Product Direction: Translate recurring customer needs and deployment learnings into clear product requirements, partner with Product and Engineering leaders, and drive adoption of capabilities that improve outcomes across the field. Stay hands-on and set the engineering bar: Write production code and working prototypes on the most critical or ambiguous parts of customer programs, review designs and code, and demonstrate the technical depth and judgment expected across the organization. Set the AI quality and reliability bar: Define organization-level standards for evaluation, observability, reliability, security, guardrails, and responsible deployment. Turn ambiguous customer goals into clear, testable measures and ensure those standards are applied consistently across engagements. Provide technical leadership and develop senior technical talent: Mentor Principal, Staff, and Senior engineers; develop technical leads; raise engineering standards across the organization; and lead through influence across Engineering, Product, Sales, and other cross-functional teams. Travel to Customer Sites: Spend at least 25% of your time onsite working with customers. OUR IDEAL CANDIDATE WILL HAVE 15+ years of software engineering experience, including a sustained track record of building and shipping production AI/ML or agentic systems at enterprise scale. Proven track record serving as a trusted technical advisor to CTOs and executive engineering leaders at large enterprises, and setting technical direction across multiple strategic accounts or enterprise programs. Demonstrated success converting client and field delivery patterns into reusable platforms, tools, frameworks, reference architectures, or open-source libraries adopted across teams or customers. Deep expertise in production AI architectures, including RAG pipelines, multi-step agentic systems, evaluation frameworks, guardrails, observability, security, and operating models for enterprise-scale adoption. Hands-on technical leader who writes and reviews production code, stays close to implementation, and can move from executive strategy to the critical technical details that determine whether a system succeeds. Exceptional systems thinking and technical communication skills across deeply technical and executive audiences, with the ability to influence without formal authority and align multiple organizations around a common technical strategy. BONUS POINTS FOR THE FOLLOWING Experience leading cross-organizational technical initiatives that improve how enterprise AI solutions are designed, deployed, and adopted. Active contributions to open-source AI frameworks, technical publications, or industry speaking engagements. Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms. WHY JOIN FRONTIER ENGINEERING AT SNOWFLAKE? Frontier Engineering is where Snowflake's AI platform meets reality. You're not building demos, you're shipping AI applications that run in some of the world's most complex enterprise environments. At the IC6 level, you also define the reusable architectures, engineering standards, and product feedback loops that allow these solutions to scale across customers. You will work on hard problems with real stakes, alongside engineers who are deeply technical and customer-obsessed. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Warp Speed builds on years of excellence in manufacturing to resurrect & revitalize the American Industrial Base. FDSEs on Warp Speed work directly with customers from the factory floor to the board room to understand their greatest problems and design and implement solutions using data. As Forward Deployed Software Engineers (FDSEs) you'll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! The Original Forward Deployed Software Engineer At Palantir, the Forward Deployed Software Engineer (FDSE) role isn't just a job title: it's the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you'll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it's "How do we predict and mitigate wildfire risks to optimize power grids?" or "How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?", you'll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You'll have the rare opportunity to gain deep insight into and directly influence some of the world's most critical industries and institutions. By building on Palantir's powerful platforms leveraging integrated cutting-edge AI, you'll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities As an FDSE, you'll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. Your contributions will have a direct impact on our customers' missions and the real world. You'll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects, including: Collaborating with fellow engineers on architecture and design decisions Wrangling massive-scale data and using AI to accelerate and enhance critical operations Developing custom applications tailored to customer needs Engaging directly with customer stakeholders, from technical teams to executives Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value What We Value A highly analytical approach and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools Experience or curiosity about working with and using large scale data to take on valuable business problems Ability to collaborate efficiently in teams of technical and non-technical individuals, and comfortable working in a dynamic environment with evolving objectives and iteration with users What We Require U.S. Person Required Must be graduating in December 2027 or Spring 2028 Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences Salary The salary range for this position is estimated to be $10,000/month. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3). If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.

Meet the Team Join a team that's helping some of the world's largest enterprises successfully deploy AI into production. As a Forward Deployed Engineer (FDE), you'll work at the intersection of software engineering, customer engagement, and product innovation. You'll partner closely with customers to tackle complex technical challenges while collaborating with Product and Engineering teams to improve the platform based on real-world customer needs. You'll work on some of the most exciting AI deployments in the industry, partnering with Fortune 100 organizations to bring ground breaking AI systems into production. Every engagement influences not only customer success, but also the future direction of the product. If you enjoy solving hard engineering problems, working directly with customers, and building technology that scales beyond a single implementation, we'd love to hear from you. Your Impact As a Forward Deployed Engineer, you will: Partner with enterprise customers to understand technical requirements and business goals. Design scalable AI solution architectures and guide customers through production deployments. Build integrations, prototypes, and reusable tools that accelerate customer success. Lead technical workshops, architecture discussions, and solve complex production issues. Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements. Create documentation, reusable best practices, and technical assets that benefit future deployments. Minimum Qualifications Bachelor's degree in Computer Science or a related technical field (or equivalent experience). 7+ years of strong software engineering experience building production-grade applications, or Masters + 4 years of related experience, or PhD + 1 year of related experience. Experience with APIs, distributed systems, cloud platforms, or backend development. Strong troubleshooting and problem-solving skills across multiple layers of the technology stack. Excellent communication skills and the ability to work directly with enterprise customers. Comfortable working in fast-paced, ambiguous environments. Interest in AI, Machine Learning, or developer platforms. Preferred Qualifications Experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production. Experience with Kubernetes, cloud infrastructure, observability, or MLOps. Experience building customer-facing technical solutions or integrations. Experience creating reusable developer tools, frameworks, or open-source contributions. Consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

We are seeking a Forward Deployed Engineer (Principal) to serve as an elite technical authority, enterprise strategist, and field to engineering leader across the Infrastructure Software Division (ISG). In this high impact role, you will embed with our largest, most complex enterprise accounts during critical platform modernizations, bare metal re platforming, large scale stateful workload migrations, and mission critical AI inferencing deployments. As a Principal member of the core Engineering organization, you will operate at the intersection of enterprise architecture, hands on production code, and long term product strategy. You will tackle systemic architecture blockers in high stakes environments, author reference implementations, and directly influence the multi year technical roadmap of our core infrastructure and AI platform software. Unlike traditional pre sales, professional services, or post sales support roles, the Principal FDE functions as a senior extension of R&D in the field. Your mission is to eliminate enterprise adoption friction at scale, codify repeatable deployment patterns for modern workloads (including distributed AI models), and establish a high bandwidth feedback loop that turns field innovations directly into core software capabilities. Key Responsibilities Divisional Field to Engineering Leadership: Act as the primary technical authority bridging core engineering, product management executive leadership, and C level enterprise customer architects. Strategic Architecture & Reference Design: Architect, scale, and validate production grade vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) topologies for high consequence, mission critical, and highly regulated deployments. Enterprise AI & Distributed Inferencing Acceleration: Design and deploy production systems for real time LLM inferencing, Retrieval Augmented Generation (RAG) pipelines, and distributed AI runtime frameworks across high density GPU clusters. Large Scale Migration Strategy: Lead end to end technical migration strategies transitioning massive legacy bare metal systems, risk calculation platforms, heavy stateful engines, and fragmented AI workloads to unified cloud native Kubernetes targets. Mission Critical Problem Solving & Code Contribution: Directly engineer high value prototype integrations, write production operators/CRDs in the field to unblock strategic accounts, and upstream those contributions directly into core ISG codebases. Product Strategy & Roadmap Influence: Systematically synthesize complex customer pain points, field workarounds, and architectural patterns into concrete product requirements. Partner with VP/Director level Product Managers to prioritize features that shorten software iteration cycles from months to days across the global product suite. Complex Stateful & AI Data Fabric: Set technical patterns for containerizing, tuning, and orchestrating heavy distributed systems, including streaming platforms (Kafka, Pulsar), vector databases (Milvus, Qdrant), in memory grids (Coherence, Redis), and advanced AI data/compute engines (Ray, vLLM, Spark, Flink). Multi Cloud & Competitive Interoperability: Define cross platform integration strategies for clients operating mixed environments across competing distributions (Red Hat OpenShift, EKS, GKE, AKS, Rancher). Technical Mentorship & Practice Building: Establish best in class deployment standards, GitOps frameworks, and CAPI/Operator patterns across the broader FDE organization; mentor Senior and Staff FDEs to elevate team wide execution capabilities. Key Qualifications Principal Level Engineering Stature: 10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale. Demonstrated alignment with core R&D/Product Engineering organizations. Strategic Customer Authority: Proven ability to command technical credibility with C suite stakeholders (CTOs, VP of Infra, Chief AI Officers) while remaining deeply hands on in production code with staff level customer engineers. Deep Kubernetes & Cloud Native Primitives: Authority level mastery of Kubernetes internal mechanics, Custom Resource Definitions (CRDs), Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux). AI & GPU Infrastructure Fluency: Extensive experience architecting high throughput AI inferencing pipelines, virtualized GPU environments (NVIDIA vGPU, MIG, GPUDirect RDMA), model serving frameworks (vLLM, TGI, Triton), and distributed inference topologies. Distributed Stateful Systems Expertise: Proven track record architecting and running high throughput, low latency stateful workloads on Kubernetes: AI Serving & Distributed Compute: Ray, vLLM, SGLang, LeaderWorkerSets (LWS), vLLM-Orchestrator. Vector & NoSQL Databases: Milvus, Qdrant, Pinecone, Apache Cassandra, ScyllaDB. In Memory & Caching: Oracle Coherence, Hazelcast, Redis, Apache Ignite. Messaging & Streaming: Apache Kafka, RabbitMQ, Pulsar. Data & Analytics Engines: Apache Spark, Apache Flink, Dask, Trino/Presto. Legacy to Cloud Native Migration Track Record: Deep experience untangling complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to construct seamless zero downtime migration pathways. Systems & Platform Code Proficiency: Hands on experience developing in Go, Python, or Java for systems level infrastructure, Kubernetes controllers, custom AI wrappers, or automation frameworks. Cross Distribution Architecture: Comprehensive technical fluency across competing enterprise distributions (OpenShift, EKS, GKE, AKS, Rancher RKE/RKS) and their underlying networking (CSI/CNI, RDMA, InfiniBand, RoCEv2) and storage abstractions. Experience/Education Bachelor's degree preferred. Relevant year's experience in lieu of a degree may be considered. 17+ years related experience required Compensation and Benefits The annual base salary range for this position is USD 132,200.00 To USD 211,500.00 As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements. Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence. Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law. If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineering is Baseten's swat team. We're deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match. We're scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination. This is a high-visibility role with direct exposure to our largest customers and to company leadership. You'll shape how a new kind of engineering team operates in the AI industry. RESPONSIBILITIES Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly "forest view" review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs. Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You'll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks: Account transitions between solution architect and FDE, with exit criteria and runbooks Non-P0 escalations to engineering teams, tracked and burned down weekly Customer patterns and gaps flowing into the product roadmap Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics. Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform. Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership. Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow. Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates. Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions. REQUIREMENTS 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs Technical depth: you're comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus. You've run programs across many teams at once and kept them moving without formal authority Calm in the middle of an escalation: you bring structure to chaos and close the loop You write clearly and concisely, for engineers and for execs High ownership, and you'd rather fix the process than work around it NICE-TO-HAVES Experience working on AI / ML Infra stack. Background in solutions engineering, SRE or forward-deployed teams WHAT SUCCESS LOOKS LIKE In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room. Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close. BENEFITS Competitive compensation, including meaningful equity (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot (U.S. only) Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are building a high-impact team to help the world's most innovative companies unlock the power of AI. As a Forward Deployed Engineer on our Frontier Engineering team, you will be a hands-on builder and a key technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just work with cutting-edge technology – you'll deploy it to solve real-world business problems at scale, building production-grade AI systems using Snowpark, Cortex, and our native LLM capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL Build Customer Solutions: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Own the end-to-end lifecycle of your workstreams – from prototype to production – directly solving customers' most complex business challenges. Own the Quality of What You Ship: Define what "good" means for the systems you build. Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets – then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Treat measurement as a first-class part of building, not an afterthought. Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL. Productionize AI at Scale: Own the full implementation lifecycle for your solutions – from prototype through deployment, monitoring, and optimization in secure, large-scale production environments. Build the safety guardrails, observability, and human-review workflows that keep AI applications reliable and trustworthy, and close the loop from production traces and user feedback back into your evals so quality compounds over time. Be a Technical Partner: Partner directly with customer data science and engineering teams as a hands-on technical resource and trusted advisor on how to best leverage AI for their business challenges. Collaborate to Innovate: Work cross-functionally with Snowflake's Product and Engineering teams, sharing real-world feedback from the field to directly influence the future of Snowflake's AI platform. Have the opportunity to travel: Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers. WE'RE LOOKING FOR CANDIDATES WHO HAVE Minimum Qualifications Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. 3+ years of professional software engineering experience. Willingness to travel. Proven experience building applications using LLMs, especially with technologies like RAG and agentic workflows. Hands-on experience defining quality metrics and running evaluations for LLM or agent systems, and using evals to systematically improve quality. Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders. Comfort with ambiguity and a desire to thrive in a fast-paced, ever-changing Generative AI environment. Preferred Qualifications Experience building eval sets from production traces and synthetic data, and running structured experimentation (A/B tests, ablations, offline evals) to compare prompts, models, or agent architectures. Familiarity with eval and observability tooling (e.g., Braintrust, LangSmith, Arize, Weave, Promptfoo) or experience building custom eval harnesses. Experience with failure-mode analysis on agent or RAG systems – categorizing errors (hallucination, retrieval miss, planning failure, tool misuse) and driving each down with targeted evals. Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP). Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark). Experience in a customer-facing technical role (e.g., solutions architect, sales engineer, or professional services). Startup experience. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

About the Role As a Product Maker (Forward Deployed Engineer) at mPrest, you will serve as the core engine driving ideas into reality. In this role, you bridge the gap between market needs, complex technical architectures, and R&D execution. You will analyze customer requirements, simplify multi-layered system integrations, and leverage modern tech tools and AI workflows to plan and validate high-impact solutions for mission-critical systems. Responsibilities The Mission Turn high-level concepts and operational challenges into concrete, scalable product solutions—fast. You will embed with client environments and collaborate closely with R&D teams to design technical solutions that solve real-world enterprise problems where it matters most. Requirements Product Strategy & Market Execution Idea-to-Reality Execution: Proven ability to take abstract ideas, customer needs, and market gaps and drive them end-to-end into viable, implemented solutions. Market Analysis & Requirements Gathering: Deep experience in analyzing market dynamics, uncovering client pain points, and defining comprehensive product requirements. Solution Planning & Tech Alignment: Skill in structuring product solutions that align client needs with current technological capabilities, architectural constraints, and company roadmap goals. Complex System Architecture & Integrations Architecture Abstraction: Exceptional talent for grasping, simplifying, and abstracting highly complex system architectures and intricate multi-system integrations into clear, actionable product blueprints. Systemic Domain Vision: Strong experience with enterprise-grade software, Command and Control (C2) systems, or large-scale operational platforms. Problem Solver at Core: Ability to identify operational friction points in live environments and define precise, high-impact technical solutions. Technical Acumen & R&D Alignment Speaking "Engineering": Deep understanding of system architecture, API/integration flows, and the Software Development Life Cycle (SDLC) to communicate fluently with R&D and engineering leaders. AI-Enabled Workflows: Practical familiarity with modern AI tools and low-code ecosystems to accelerate concept validation, specification, and delivery without relying on dedicated design output. Operations & Customer-Facing (The FDE Aspect) The Bridge: Proven track record acting as the ultimate link between R&D, Product Strategy, and Client Operations. Enterprise Client Facing: Excellent interpersonal skills to work directly with large-scale enterprise clients, validate requirements in real time, and adapt solutions to field constraints. Key Requirements & Practical Qualifications Execution Track Record: 3+ years of experience turning complex product concepts and customer requirements into shipped enterprise solutions. Complex System Comprehension: Demonstrated ability to quickly map, simplify, and articulate complex system architectures and integration ecosystems. Market & Customer Requirement Analysis: Proven experience leading product scoping, market research, and translating customer demands into technical product specs. R&D & Engineering Fluency: Deep knowledge of software development processes, system integrations, and technical feasibility to ensure seamless handoffs to R&D. Client-Facing & Field Scoping: Strong ability to interface directly with enterprise users, understand real-world operational context, and validate product direction. AI & Modern Product Stack: Hands-on experience leveraging AI tools and modern productivity frameworks for rapid scoping, specification, and validation.

Job Description As a Forward Deployed Engineer at Base44, you will operate at the intersection of hands-on engineering, product discovery, and stakeholder execution. We are looking for a mature, highly autonomous builder who can own projects end to end - from initial discovery and workflow mapping to building, deploying, and refining apps. In this role, you will partner directly with both internal teams and external stakeholders. You’ll uncover their operational bottlenecks, translate ambiguous needs into clear solution designs, and use Base44 - paired with hands-on coding to build fully functional apps. Your work won’t just solve real world problems, it will test Base44 at its limits and directly influence our core product roadmap. What you’ll do • Drive & Own Projects End-to-End: Independently lead initiatives from zero to one—running discovery, mapping workflows, and shipping production-ready solutions without hand-holding. • Build Internal & External Apps: Design and build fully functional applications on Base44 for internal teams and external partners. • Leverage AI & Vibe Coding: Utilize Generative AI and Vibe Coding practices to rapidly build intelligent workflows, automate logic, and accelerate app delivery. • Hands-On Development & Integrations: Combine Base44 capabilities with custom code, APIs, and integrations to build scalable, tailored solutions. • Bridge Stakeholders & Alignment: Act as the primary technical partner for internal units and external stakeholders, driving momentum and aligning business needs with execution. • Stress-Test & Inform Product: Push Base44 to its technical boundaries through ambitious builds, feeding field insights directly back to Product and Engineering to shape our platform roadmap. Qualifications • 4+ years of experience in Forward Deployed Engineering, Technical Product Management, Solutions Engineering, or other highly technical customer-facing roles. • Proven track record of working directly with clients, external partners, or internal business stakeholders to understand operational needs and deliver solutions. • Hands-on coding experience with a strong ability to write clean, functional code. • Solid understanding of modern web application architecture, APIs, integrations, and relational data structures. • Strong product sense and process design skills with the ability to turn ambiguous business needs into functional app designs. • Proven experience building software using modern AI-driven tools, Vibe Coding practices, or low-code/no-code ecosystems. • High autonomy, maturity, and a proactive mindset to lead projects end-to-end from scratch without hand-holding. Additional Information We're Base44, a newly acquired part of Wix, on a mission to change how software gets built. Our AI-powered platform empowers anyone to create custom software applications using natural language—no traditional coding required. Operating like a startup within Wix, we're fast, collaborative, and focused on turning complex problems into simple, powerful solutions. We exist for creators, solo founders, startups, entrepreneurs, side hustlers, and everyone who wants to turn their ideas into reality. Whether you're launching a product, validating a concept, or exploring a hunch, Base44 helps you build it. We're growing fast, the opportunity is huge, and with your help, our user-driven growth can become unstoppable.

About Chalk Chalk (chalk.ai) is the platform for production AI. Trusted by enterprises including Whatnot, Grindr, Mission Lane, Turo, and Apartment List, Chalk brings together context, runtime, and learning for agents and models. Chalk’s Context Engine delivers live context by querying data across warehouses, databases, streams, and APIs, straight from the source. Chalk’s runtime powers agents and models with infrastructure and governed access to LLMs and tools. Together, these capabilities help teams build AI that understands their business, continuously improves, and runs reliably in production. We've recently raised a $50 million Series A, led by Felicis. Learn more at chalk.ai. About the role You are an exceptional Software Engineer who wants to work directly alongside the people using what you build. As a Forward Deployed Engineer, you will be embedded with our customers' data engineering, data science, and machine learning teams and write code that connects Chalk to their unique infrastructure and use cases. As the subject matter expert in the room, you will work with these data teams to build efficient ML and AI systems. When a customer needs something that Chalk doesn't do yet, you will prove out that new capability and personally build the first version into our platform, where it becomes available to every customer. Your work will power use cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up. What you will do • Write code across the entire code base to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments • Discover customer's needs and then design, implement, and ship new features for customers • Work closely with our Engineering and Sales teams • Act as the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one) • Recommend new products to customers as their business evolves • Help interview and grow the Engineering team What we’re looking for • Technical background including experience writing software or building ML models • 4+ years experience of professional backend software engineering experience • Proficient in Python, SQL • Ability to collaborate effectively in teams of technical and non-technical individuals • Excellent written and verbal communication, problem-solving, storytelling, and analytical skills • Experience working closely with sales teams and customers is a plus. • Bachelor's degree in Computer Science or equivalent Bonus points • Previous experience working with ML/data products or services • Understanding of Machine Learning Ops/Infrastructure • Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning.

Production experience required. Builder mindset non-negotiable. The FDE Voice is a hands-on Forward Deployed Engineer role with a special focus on Voice. In this role, you will work directly with customers to design, build, and deploy AI-powered voice experiences in production, using Agentforce Voice, Service Cloud Voice, and contact center telephony integrations. You will own the full delivery cycle, from discovery and solution design to configuration, testing, and go-live, and you will be responsible for voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and seamless escalation to human agents. You will act as a direct bridge between customers and the Voice Product team: sharing structured feedback from live deployments, raising product gaps and feature requests, contributing to roadmap discussions, and participating in early access programs and pilots to validate new capabilities in real customer environments. Working closely with customer teams, Product, and the wider EMEA South FDE team, you will turn field learnings into reusable voice patterns and assets that accelerate future deployments. What You'll Actually Be Doing Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Person If... You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. You have a degree in Computer Science or a related field. You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigour. You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel ~25% of the time and work directly alongside customers. Even Better If... Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist). Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns. Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery). Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is EUR 88.200 to EUR 117,900 annually. In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges, ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. We are seeking an FD Build Engineer to join our Forward Deployed Engineering team. You will have a strong mechanical or electrical background and be responsible for building, integrating, validating, and deploying the prototype hardware that brings our technology from the lab to the fleet. This is not a traditional technician role. You will not always be building to print, and you will not be waiting for a finished design to hand you work. You will sit alongside the engineers inventing new capability for our Autonomous Surface Vessels (ASVs), bring operational reality into the design before it is frozen, build and prove the hardware, define how it gets installed and maintained, and then go to the waterfront with it. Time is split between the lab, fabrication spaces, and the water. You will report to Forward Deployed Engineering Director and be embedded with Forward Deployed Hardware Engineers, who set design intent and priorities. Some tasks will come with clear direction. Others will come as a problem and a deadline, and you will be expected to figure out the approach, make the call on how to build it, and own the result. Technical direction stays with the engineers; execution is yours. We are looking for someone who takes direction well and leads when the situation needs it. You will embed in a product pod supporting multiple Forward Deployed Hardware Engineers, going deep on forward deployed projects and rotating between pods as program demand shifts. This role requires significant travel, typically 50–70%, to test sites and deployment locations, and long hours are common, especially during demos and deployments. Responsibilities Embed within a product pod supporting multiple Forward Deployed Hardware Engineers, focused on forward deployed projects and rotating between pods as demand requires Own execution of integration plans on the operational system. Take a task or a problem from an FDE hardware engineer, scope it, source it, build it, prove it, and close it out with documentation. Build, integrate, and modify prototype mechanical and electrical hardware from drawings, CAD models, and engineering sketches, with an emphasis on speed to test. Where direction is incomplete, propose the approach, make the build decisions within the engineer's design intent, and escalate design-level questions Fabricate brackets, fixtures, jigs, and one-off components using hand tools, shop equipment, sheet metal, and 3D printing; build wiring harnesses and cabling for the marine environment; and work with suppliers and fabrication shops for fast turnarounds of custom components and harnesses Lead the organization and day-to-day use of lab and shop spaces — keeping tools, equipment, and inventory in order, setting up workspaces for active builds, and training engineers and teammates on safe, effective use of the space Work with other engineering and field teams to troubleshoot prototype hardware and find issues, from lab bring-up through dockside and sea trials to on-site deployment. Advise engineering teams on design updates that make the build more efficient, practical, and serviceable. Lead hardware and subsystem integration efforts across CONUS and OCONUS locations. Validate engineering changes prior to wider release and support root cause investigations. Serve as the on-site engineering point of contact during deployment, providing technical support and communicating findings back to the engineering team. Bring operational and maintenance experience into early requirements and design discussions — what survives the marine environment, what a maintainer can service on a pitching deck, and what fails after 200 hours at sea — and feed design-for-assembly, serviceability, and deployment recommendations back to engineering Write installation, maintenance, and troubleshooting procedures for prototypes that don't have any yet, partnering with technical writing. For prototypes entering sustainment, propose maintenance intervals, consumables, spares lists, and special tooling, support handoff to Mission Support, and train operators, field service representatives, and other technicians on the systems you build Qualifications Associate degree or bachelor's in a technical field, military technical training, trade certification, or equivalent hands-on experience Hands-on experience building, testing, or maintaining integrated electromechanical systems, preferably in fielded or mission-critical environments Ability to read and work from engineering drawings, CAD models, wiring diagrams, and electrical schematics Hands-on expertise in mechanical assembly and fabrication (hand and power tools, sheet metal, 3D printing, basic machining) Hands-on expertise in electrical integration (harness construction, soldering and crimping, connector selection, wire sizing, voltage drop, DC power distribution, grounding and bonding) Hands-on expertise in troubleshooting with electrical test equipment (multimeters, oscilloscopes) Demonstrated ownership of a build, integration, or test effort from scoping through close-out, with a track record of working through ambiguous tasks with limited oversight Ability to run tests and root cause investigations, and to write up data, findings, and procedures clearly enough that an engineer, writer, or operator can act on them Comfortable both taking direction from engineers and leading a task or small effort when the situation calls for it Willingness to work in dynamic, hands-on environments, including on and near the water, and to travel up to 50-70% Strong sense of ownership and bias for action Preferred Qualifications Military or commercial marine maintenance background — Navy or Coast Guard engineering rating, small craft maintenance, or comparable Marine systems experience (propulsion, steering and hydraulics, through-hulls and sealing, corrosion control and bonding, marine DC electrical) Experience working with autonomous systems, drones, or other robotic platforms Familiarity with maritime environments or naval platforms Comfort with a Linux command line and basic IP network troubleshooting Composites or fiberglass layup and repair experience Boat handling experience, USCG license, or crane, forklift, and rigging qualifications Exposure to ruggedized or IP-rated hardware Physical Demands Preferred Prolonged periods of sitting at a desk and working on a computer Occasional standing and walking within the office Manual dexterity to operate a computer keyboard, mouse, and other office equipment Visual acuity to read screens, documents, and reports Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) Benefits Medical Insurance: Comprehensive health insurance plans covering a range of services. Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care. Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan with company match Stock Options: Equity options to give employees a stake in the company's success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office Saronic CCPA Notice for Candidates and California Employees If this role is based in the United States, it requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

Production experience required. Builder mindset non-negotiable. The FDE SWAT is a hands-on Forward Deployed Engineer role focused on troubleshooting, fixing, and resolving complex issues in live customer deployments. As part of a team of specialists, you will be engaged by FDE Pods or directly by customers when critical problems arise, working quickly to diagnose root causes, implement fixes, and restore stable performance across Agentforce and the wider Salesforce platform. You will own issues end-to-end, from triage and investigation to resolution, validation, and handover, and you will be responsible for clear communication with stakeholders throughout, especially in high-pressure and time-sensitive situations. You will work closely with Product and Engineering as a direct escalation path: reproducing and documenting defects, providing detailed technical evidence, collaborating on fixes and workarounds, and tracking resolutions through to release. Beyond individual cases, you will identify recurring issue patterns, share lessons learned with the Pods, and build reusable diagnostics, runbooks, and preventive best practices that strengthen the quality and resilience of future deployments across the EMEA South FDE team. What You'll Actually Be Doing Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Person If... You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. You have a degree in Computer Science or a related field. You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigour. You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel ~25% of the time and work directly alongside customers. Even Better If... Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments The Builder Experience AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools - Cursor, Claude, and Salesforce coding products like Vibes - embedded into your day-to-day workflow. Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months - spanning Agentforce, data, platform, and headless architectures, and your field insight will feed directly to the product teams building them. Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. The typical base salary range for this position is EUR 88.200 to EUR 117,900 annually.

Read before you apply Job description About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience Production experience required. Builder mindset non-negotiable. The FDE Voice is a hands-on Forward Deployed Engineer role with a special focus on Voice. In this role, you will work directly with customers to design, build, and deploy AI-powered voice experiences in production, using Agentforce Voice, Service Cloud Voice, and contact center telephony integrations. You will own the full delivery cycle, from discovery and solution design to configuration, testing, and go-live, and you will be responsible for voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and seamless escalation to human agents. You will act as a direct bridge between customers and the Voice Product team: sharing structured feedback from live deployments, raising product gaps and feature requests, contributing to roadmap discussions, and participating in early access programs and pilots to validate new capabilities in real customer environments. Working closely with customer teams, Product, and the wider EMEA South FDE team, you will turn field learnings into reusable voice patterns and assets that accelerate future deployments. What You'll Actually Be Doing Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Person If... You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. You have a degree in Computer Science or a related field You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigour. You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel ~25% of the time and work directly alongside customers. Even Better If... Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments The Builder Experience AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow. Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures, and your field insight will feed directly to the product teams building them. Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Read before you apply. Job Category: Sales About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce's real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it. What You'll Actually Be Doing Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric). Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents. Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems. Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies. Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error. Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead. Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support. You're Our Person If... You have 8+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution you can explain in detail. You have a bachelor's degree in Computer Science or equivalent practical experience. You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed. You understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access. You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance. You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication. You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases. You diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result. You can implement against a documented architecture, explain what you built to customer technical teams, and recognize when a question requires an architect or security owner. You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments. You are excited to work directly with customer administrators, developers, data engineers, and architects. You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is EUR 88.200 to EUR 117,900 annually. Italy CBA (Contratto collettivo nazionale di lavoro del commercio) (01/04/2015 - ) Quadri In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we're just getting started. Role Overview Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. What You'll Do Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats. The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey. What You Have 6+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required. Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree. Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members. Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption. Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Finance is hiring a Forward Deployed Engineer and AI Enabling expert to help turn that potential into measurable business outcomes. Embedded within the Finance AI team, you will work at the intersection of a high variety of finance functions at NVIDIA, data platform teams, and applied AI. You will partner with finance leaders, subject-matter experts, data scientists, data engineers, DevOps engineers, AI citizen developers, knowledge workers, and external vendors to discover high-value opportunities, build trusted solutions, and help teams adopt new ways of working. This is a hands-on role for someone who can move comfortably from an ambiguous business problem to a working prototype, a production-ready solution, and sustained adoption. You will combine technical depth, business-savvy thinking, program leadership, and a strong teaching capacity to enable AI across our Finance organization. What you'll be doing Translate complex finance workflows and ambiguous business problems into clear requirements, technical designs, success measures, and delivery plans — guiding architecture across data, models, APIs, orchestration, UX, and human-in-the-loop controls. Prototype and productionize AI solutions: agents, retrieval-augmented generation, workflow automation, analytics, and ML applications. Partner with data owners and platform teams to securely integrate structured and unstructured data, set access controls, and improve data quality and lineage. Lead technically and organizationally complex initiatives from discovery to launch, balancing experimentation with enterprise scale, security, governance, and maintainability. Build reusable reference architectures, patterns, and enablement assets, and communicate recommendations, tradeoffs, and results to audiences from finance operators to executives and engineers. What we need to see Hands-on Python, SQL, and Git, with Databricks or a comparable cloud data and AI platform. Practical experience building and deploying modern AI — LLMs, prompt/context design, agents, MCPs, and evaluations — and integrating applications via APIs across structured and unstructured data. Strong product and program judgment: create clarity from ambiguity, define an MVP, manage dependencies and risk, and deliver iteratively. Working knowledge of responsible AI, privacy, security, and governance, with excellent communication that teaches technical concepts to nontechnical audiences and influences across functions without formal authority. 3+ years in computer science, data science/engineering, analytics, automation, or applied AI. A BS or MS degree in Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related field, or equivalent experience. Ways to stand out from the crowd Applied AI, automation, or advanced analytics to tax, corporate development, treasury, venture capital, financial services, procurement, audit, or related areas. Designed agentic workflows and securely connected models to enterprise systems like SAP, SFDC, or Workday. Built communities of practice and taught varied technical audiences, using feedback and adoption data to improve enablement. Experience in a large, global technology company or another complex, high-growth environment. A collaborative, customer-focused approach and demonstrated ability to influence across functions without relying on formal authority. Curiosity, sound judgment, and a bias toward learning through experimentation while maintaining high standards for quality and trust. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 2, and 152,000 USD - 230,000 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.