FDE Times

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.

Why Rogo Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them. This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to Rogo's mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us. What you'll do Be Rogo's investment banking expert in the room: Design and lead tailored demos of Rogo's platform, translating AI capabilities into real impact across core banking workflows — company research, financial modeling, valuation, M&A advisory, capital markets, and client deliverables. In every sales cycle, you'll paint the vision of what "fully deployed" looks like for each bank: Rogo as core to how their teams research, pitch, and execute. Work cross-functionally: Partner directly with Sales, Product, and Engineering to drive our GTM motion and continuously improve the product. You are the voice of the prospective customer — bringing what the market is asking for, and firsthand investment banking expertise, into our product development philosophy. Be the trusted expert in the sales cycle: As a domain and GTM leader in the earliest conversations with our future customers, you'll understand and anticipate how bankers work — building trusted, consultative relationships that establish Rogo's credibility, shape the evaluation, and win the deal. Scope and run proof-of-value: Design proof-of-value exercises that justify the deal — mapping Rogo's capabilities to each bank's specific coverage groups, product areas, and deal workflows so that the use cases feel bespoke to their firm. You'll define success criteria with the prospect up front, tie them to business outcomes their leadership cares about, and build the evidence that turns an evaluation into a commitment. Elevate our GTM motion: Develop best-in-class demo environments, banking use cases, and enablement materials that showcase how Rogo fits into real investment banking workflows and help the broader team win more business. Influence product direction: Translate customer feedback, banking workflows, and market trends into actionable insights that sharpen the platform and strengthen our competitive advantage. What you'll bring 2+ years of investment banking experience at a top-tier investment bank. Strong command of core banking workflows — financial modeling, valuation, M&A, capital markets, due diligence, and client presentations. Executive presence and the ability to build credibility with senior bankers and financial services leaders, from analysts up through MDs and Group Heads. Outstanding communication and presentation skills, whether leading a polished product demo or explaining complex financial concepts on the fly. The ability to connect a prospect's specific business problems to Rogo's solutions and explain them to both technical and non-technical audiences. A structured, outcome-oriented approach: comfort defining success criteria, scoping evaluations, and building the business case that gets a deal over the line. A genuine curiosity about AI and conviction about how it will reshape investment banking. Bachelor's degree or above. Bilingual in English and French, with excellent written and verbal communication skills in both. Even better... Experience working directly with clients or leading live deal execution alongside senior bankers and executives. Experience partnering with Product or Engineering, translating customer requirements and banking workflows into product improvements. Previous experience in B2B SaaS, fintech, or AI, particularly in customer-facing or solutions-oriented roles. Who You Are You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup. You are ambitious. You have fun solving problems that others think are impossible. You are curious. You find joy in learning about AI, technology, and finance. You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity. You are collaborative, organized, thoughtful, and kind. Why Join Rogo? Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous. Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance. A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale. Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work. Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.

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.

This role has been designed as 'Onsite' with an expectation that you will primarily work from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description What You Will Do Lead end-to-end technical scoping, architecture design, system integration, and deployment of complex solutions across customer and production cloud environments. Design, build, and maintain multi-cloud infrastructure across AWS/GCP using Infrastructure as Code tools such as Terraform and Ansible. Drive production support, operational automation, and incident management for highly available enterprise cloud services. Participate in 24x7 production support and on-call operations, ensuring system reliability and rapid incident resolution. Define and maintain SLOs, high availability, low latency, and operational performance across production environments. Implement and improve observability and telemetry using tools such as Prometheus, Grafana, and OpenTelemetry. Lead incident response, root cause analysis, and post-mortems to continuously improve platform reliability. Work closely with customers, engineering teams, and stakeholders to deploy, troubleshoot, and operate solutions throughout their lifecycle. Develop automation and production tooling using Python or Go, including REST API integrations and declarative tools. What You Need to Bring 5+ years of overall engineering experience, including: 3+ years of Site Reliability Engineering (SRE) experience; 2+ years of Forward Deployed Engineering (FDE) or customer-facing deployment experience. Strong hands-on programming skills in Python or Go, including REST API integration and automation. Hands-on experience with AWS or GCP cloud environments. Strong experience with Docker and Kubernetes in production environments. Hands-on experience with Terraform and/or Ansible for Infrastructure as Code. 5+ years of experience working with Linux, including configuration, troubleshooting, and production operations. Experience with cloud IAM and security practices. Strong understanding of production operations, incident management, high availability, SLOs, and observability. Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry. Bachelor's degree in Computer Science, Engineering, or a related technical field. Nice to Have Experience deploying or operating AI/LLM or agent-based platforms in production. Strong experience with Jenkins/Groovy scripting. Backend or full-stack software development experience. Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. What We Can Offer You Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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. Snowflake redefined the data landscape over a decade ago, and our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. We believe Generative AI is the key — we are building products that don't just move data, but understand and rewrite the logic of entire data applications. We are seeking a Manager, Frontier Engineering (Migrations) to sit at the intersection of customer delivery and product engineering. This is a unique hybrid role: you will lead a team of forward-deployed engineers who work directly with customers and partners on complex migration projects while simultaneously driving the development of AI-powered migration tools and products. Your team will be the bridge between field realities and product innovation — turning hard-won migration patterns into scalable, automated solutions. AS A MANAGER, MIGRATIONS YOU WILL Team Leadership & People Management Manage and mentor a team of Forward Deployed Engineers, providing clear feedback, identifying strengths, and developing growth paths Recruit, hire, and onboard future team members, setting them up for success in both customer-facing delivery and engineering contributions Foster a culture of creativity, innovation, and practical decision-making across delivery and engineering work streams Support engineers in their career development, growing both technical delivery leads and engineering leaders Customer Delivery & Project Execution Provide strategic oversight for migration projects, ensuring alignment with customer objectives and company goals Lead teams executing complex migrations from legacy systems (Oracle, Teradata, Netezza, SQL Server, etc.) to the Snowflake platform Act as the primary escalation point for delivery concerns, working closely with customers and system integrators Maintain a hands-on presence on strategic projects, leveraging your technical expertise to assess quality and unblock teams Collaborate with sales teams to scope opportunities, develop proposals, and ensure effective account strategy execution Engineering & Product Build Drive the design, development, and iteration of AI-powered migration tools and products based on real-world customer needs Guide the team through an evolving AI ecosystem to build AI-first products — including code translation, developer co-pilots, and semantic validation Translate field insights and customer requirements into engineering roadmap items and product improvements Collaborate with Engineering and Product Management organizations to align on priorities and deliver high-quality solutions Encourage the development and sharing of best practices, utilities, and accelerators that streamline migrations and feed back into product Cross-Functional Impact Work with organizational leaders to influence GTM strategies, leading initiatives and improvements across Sales and Engineering Facilitate knowledge sharing and cross-team learning between field engineers and product engineering teams Present to both technical and executive audiences, articulating migration strategies, product vision, and business outcomes OUR IDEAL CANDIDATE WILL HAVE University degree in computer science, engineering, mathematics, or related fields (or equivalent experience) 7+ years of experience in technical roles involving customer-facing delivery, engineering 5+ years of people management experience — mentoring, coaching, and developing technical teams 3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools Demonstrated success leading teams through complex data platform migrations and cloud transformation projects Strong foundation in databases, data warehouses, and data processing — hands-on experience with large-scale systems (Oracle, Teradata, Netezza, SQL Server, Greenplum, Hadoop) Deep understanding of cloud platforms (AWS, Azure, GCP) and the complete data analytics stack (ETL, data platform design, BI/analytics tools) Familiarity with data integration/transformation tools (Informatica, DataStage, Talend, Matillion, dbt) and BI tools (Tableau, MicroStrategy, Business Objects) Extensive hands-on expertise with SQL, SQL analytics, and scripting (Python, Perl, Bash) Resourceful, data-driven, strong partners, and able to step in as PM, program manager, or architect when needed Hiring and growing the team, technical leadership (including for staff+ engineers), driving projects from idea to production, and partnering across teams and with customers Strong experience scoping engagements — developing delivery estimates, proposals, and project plans Outstanding presentation skills for both technical and executive audiences 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

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.

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have Oversee regional performance targets, including billable utilisation, team growth, and hiring, while championing delivery excellence and customer success across the FDE portfolio. Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. Synthesise field insights from your team's engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for Key requirements 4+ years leading high-performing technical delivery teams, with a proven track record building excellence-driven cultures 5+ years as a technical solutions architect or data/AI engineer, providing coaching credibility Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data and AI ecosystem Consulting / professional services background with a hands-on technical foundation Proven technical depth to personally build with AI, coach teams with best practices, drive organisation-wide adoption Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments Strong understanding of technical project delivery, including scope, timelines, and SOW management Strong stakeholder management skills navigating complex, high-stakes customer environments Ability to travel to customer sites approximately 20% of the time Nice-to-Haves Prior experience at a hyperscaler (Google, AWS, Azure) or a top data/AI company An in-house/industry stint alongside vendor-side delivery experience About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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.

At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a Technical Program Manager (TPM) in our Forward Deployed Engineering division, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the FDE practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. The Impact You Will Have Portfolio Success: Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives. Operational Excellence: Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit. Strategic Alignment: Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements. Leadership Hub: Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum. Mentorship: Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact. What We Look For Experience: Extensive experience managing complex technical programs. Experience with Product Management is a plus. Technical Bar: Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire. AI Proficiency: Demonstrated ability to integrate AI tools into program management workflows to drive operational performance. Process Innovation: A track record of enhancing delivery standards and implementing changes that improve operational performance. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact. This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks' broader platform growth, ensuring our customers achieve measurable business value from their investments. The impact you will have Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership. Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing. Integrate services into platform deals, ensuring customers achieve measurable business outcomes. Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations. Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success. Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services. Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor. Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations. Coach and mentor junior Engagement Managers, supporting peer development and best practice adoption. What we look for Strong background in customer-facing roles, including consulting, solutioning, and executive engagement, with the ability to engage in architecture-level discussions and translate technical designs into business outcomes. Deep industry expertise with the ability to "speak the language" of customers and demonstrate relevant use cases. Extensive experience in Professional Services sales and delivery leadership, ideally in the Data & AI domain. Solid technical knowledge of data and AI platforms (preferably Databricks) with the ability to scope and solution services engagements. Strong program management and delivery oversight skills, with the ability to align cross-functional teams to customer outcomes. Excellent communication, influencing, and negotiation skills across executives, technical teams, partners, and internal stakeholders. Travel to customers 20% of the time. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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

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. Salesforce is hiring 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 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. Ability to travel to customer sites as needed to ensure client success. Business level proficiency in Italian and English. Computer Science (CS) degree or related. 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. The typical base salary range for this position is EUR 70,425 to EUR 94,200 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.

The Experience Customer impact from day one. Strategic clarity and Execution that sticks. Salesforce is hiring Deployment Strategists — Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound — typically 12 weeks or less — and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds. What You'll Actually Be Doing Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle — Identify → Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure. AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start. Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks. Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization. Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones. AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools, including Cursor, Claude, and our coding products like Vibes, to accelerate development. Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail. AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents. Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap. You're Our Person If... 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology. You have a degree in Computer Science or a related field. Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have. Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud. Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex. Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes. Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices. Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments. Ability to travel 25% of the time to customer sites. Fluency in Japanese (written and verbal). Even Better If... Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing). Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare). Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation. Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks. A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments.

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. 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. 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. What's the opportunity? In AI, proximity to customer reality is the moat. Even the best model doesn't run itself: it takes someone who gets close enough to a customer's business to make it work, and that closeness doesn't happen on its own. That's where the Forward Deployed Product Manager comes in. You'll work directly with our biggest customers at the moments that matter most in their journey with Fin, whether that's proving out value in an evaluation, getting a deployment live, or expanding what's possible once it's working, and get them to real, measurable success with Fin faster than they'd get there on their own. What you learn with them feeds back into the product, so every customer after them gets there faster and better too. This is a very novel role in the industry, still being shaped, and you'll help sharpen what great looks like at Fin: evolving the playbooks, and shaping how we win and deliver on our biggest, highest-stakes deals. This is a high-ownership, high-visibility role for a PM who wants real time with customers and hands-on time with the product, and who's comfortable making progress before every answer is known. What will I be doing? Own outcomes for a portfolio of strategic customers deploying Fin. Understand their business, their support operation, and their technical environment well enough that the deployment plan you propose earns trust immediately. Run the full arc yourself. Pitch and demo Fin, scope the solution, hands-on configure it (including custom development if required), and unblock whatever gets in the way, whether that's a product gap, a technical integration, or a cross-functional snag. Be the AI expert in the room. Customers should leave every conversation with you knowing more about how to get outstanding results from Fin. Partner tightly with Sales, Success, and R&D so each deployment feels like one team to the customer, not a relay race. Turn what you learn in the field into product. Bring specific, evidence-backed input, not just feature requests, to shape the roadmap. Build the playbook as you go: the deployment patterns, templates, and best practices that make the next ten deployments faster than the first. Help define what Forward Deployed PM means at Fin. It's a very novel role across the industry, still being shaped, and you'll help sharpen what it looks like here. Success in this role looks like your customers thriving with Fin, and the product getting sharper because of what you learned from them. It's product management at its core, not solutions engineering, customer success, or professional services. What skills do I need? Experience: No minimum years required. We care about impact, drive, and potential, evidenced through the skills below, not tenure. Customer obsession: Deep empathy paired with a bias for action. You're motivated by solving the real problem and delivering measurable results. Communication & storytelling: You can pitch Fin to a room of executives, then get into the technical weeds with their engineers, adjusting depth and tone without losing either audience. Technical fluency: You're able to talk to engineers and customers about modern tech stack, from APIs and SaaS infrastructure to LLMs and low-code tooling. You're comfortable onboarding a customer into more technical product setups. Evidence-based thinking: You use data, not anecdotes, to make the case for a deployment plan or a roadmap bet, and you're comfortable pulling and interpreting data (conversation logs, usage, CX metrics) to find the story. Cross-functional influence: You navigate organizational boundaries easily, and bring people together to get the best outcome for customers and Fin. Comfort with ambiguity: You thrive in fast-changing, undefined environments, switching fluidly between big-picture strategy and in-the-weeds execution. Operational rigor: You're highly organized and structured, managing multiple deployments and priorities without becoming reactive, and you know when a moment calls for speed versus polish. Even better if you have: Experience building product for enterprise customers; Startup or B2B SaaS experience; Background in technical consulting, solutions engineering, or customer success. 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. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Fin has a hybrid working policy. We expect employees to be in the office at least three days per week. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.

About Clay AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential. Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research. In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education. Some things to know about us Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack. Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. All employees can work with world-class coaches who specialize in creativity, management, and more. Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here. Read about us in the NYT, Forbes, First Round Review, and more. Hear from our employees directly on our Glassdoor page! Growth Strategist, Key @ Clay We're building a new Key Accounts team within Clay's Strategic GS segment. It's a senior team dedicated to Clay's largest and highest-potential customers. You'll be a strategic partner to a small number of the world's most influential companies, including Fortune 500 enterprises and leading AI companies. You'll help their revenue operations and marketing leaders change how they go to market with Clay. As a founding member, you'll also help define how this segment engages, retains, and grows Clay's most important relationships. What You'll Do Own a focused portfolio. Be the senior owner of a handful of strategic accounts, and the person who knows each one best. Lead GTM transformation. Set a multi-year vision with executive teams, define the jobs to be done, and drive adoption across business units, regions, and functions. Build C-suite relationships. Be a trusted advisor to CROs, CMOs, and other executives, and keep Clay central to their GTM strategy. Deliver value in P&L terms. Define success metrics with leadership, measure them through data, surveys, and interviews, and present the business impact in executive business reviews. Quarterback the account team. Coordinate Sales, Solutions, Support, Product, and Engineering to run complex programs, handle escalations, and manage risk. Own renewals, co-own growth. Partner with Sales to anticipate needs, deepen use cases, and expand into new teams through cross-sell and upsell. Shape the product. Represent Clay's most influential customers internally and directly influence the roadmap. What You'll Bring Experience: 8–10+ years in strategic account management, customer success, or transformation consulting with Fortune 500 or similarly complex global organizations. Transformation track record: You've built C-suite relationships and led large-scale technology adoption or change programs. Commercial results: You've owned renewals and consistently hit iARR and GRR targets. Strategic thinking: You set a vision, build frameworks, and turn product capabilities into measurable business outcomes. Executive presence: You stay calm presenting to senior leaders, in high-stakes situations, and in conflict. Cross-functional leadership: You lead without formal authority, both inside Clay and inside the customer's organization. Technical curiosity: You want to understand the product deeply enough to connect what's possible with what the customer needs. Builder mentality: You're energized by shaping a new team's operating model from the ground up. Nice to have: A background in management consulting or strategy advisory.

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.