Forward Deployed Engineer jobs in Israel

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

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

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

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X. Role overview A hybrid software engineer and technical consultant who embeds within a strategic customer to implement, customize, and scale ADI's AI and edge technology into their real-world infrastructure. Key responsibilities Write production-grade code: custom data pipelines, API integrations, and MLOps/AI workflows. Embed on-site with clients, partnering across CSG, VBU, SDP, and Edge AI teams. Frame customer problems and own the architecture that solves them. Drive rapid iteration and field learning to deliver measurable customer outcomes. Produce reusable, ADI-owned assets that create defensible wedges. Required qualifications BS/MS in CS, EE, or related; 2+ years building production software. Strong Python plus experience with data pipelines, APIs, and MLOps/AI workflows. Comfort deploying and debugging on-site in complex enterprise environments. Excellent communication; able to translate customer needs into architecture. Willingness to travel and embed with strategic clients. Preferred Edge AI, LLM/agentic systems, or signal-processing background. Prior forward-deployed, field, or solutions-engineering experience. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced. Required Travel: Yes, 10% of the time. Shift Type: 1st Shift/Days.

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, including 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. Compensation The typical base salary range for this position is EUR 88.200 to EUR 117,900 annually. In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across PDFs, spreadsheets, emails, drawings, public records, and disconnected systems, leading to preventable leakage, missed obligations, and lost opportunities. Used by leading enterprises, REAL transforms fragmented information into connected intelligence and automated action. Our AI-powered platform helps customers improve operational accuracy, uncover financial opportunities, and make better business decisions. We’re looking for our first Forward Deployed Engineer (FDE) to join REAL and help build this function from the ground up. This is a highly technical, hands-on, and customer-facing role. You’ll be based in Israel, working closely with our Product and Engineering teams, while traveling regularly across the U.S. to work on-site with our enterprise customers. You’ll work directly with customers to understand their business processes, technical environments, and operational challenges, and translate them into AI-powered solutions. You’ll own projects end-to-end — from discovery and requirements gathering through technical design, development, deployment, adoption, and continuous improvement. As our first FDE, you’ll have a unique opportunity to define how REAL works with customers from a technical perspective, build the processes and best practices for this function, and play a key role in how we scale customer delivery. We’re looking for a strong engineer with a product mindset who enjoys navigating ambiguity, working directly with customers, and turning complex business problems into scalable technical solutions. REAL Values Ownership – We take responsibility and move decisively. Clarity – We simplify complexity to deliver meaningful impact. Accuracy – Precision matters in everything we do. Velocity – We move fast and execute with purpose. Partnership – We succeed by working closely together. What You’ll Do • Partner directly with enterprise customers, both remotely and on-site across the U.S., to deeply understand their business processes, technical architecture, data flows, and operational challenges. • Lead technical discovery sessions, gather business and product requirements, and translate complex customer needs into scalable AI-powered solutions. • Design, build, configure, and deploy production-ready AI agents, integrations, and workflows that operate reliably within customer environments. • Work hands-on with APIs, enterprise systems, structured and unstructured data, and customer infrastructure to deliver end-to-end solutions. • Own customer engagements from technical discovery through implementation, deployment, adoption, and continuous optimization. • Validate solutions using real customer data, troubleshoot technical challenges, and continuously improve system performance and business outcomes. • Drive measurable business impact by identifying new use cases, increasing platform adoption, and helping drive growth and expansion within customer accounts. • Work closely with Product and Engineering in Israel to influence product direction based on customer feedback, implementation learnings, and real-world use cases. • Act as the technical owner throughout the customer engagement, building trusted relationships with both technical and business stakeholders. • Create reusable implementation playbooks, tools, and best practices that help scale the FDE function as REAL grows. • Travel regularly to customer sites across the U.S., including spending meaningful time on-site during discovery, implementation, deployment, and expansion. Requirements What We’re Looking For • 5+ years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, or other highly technical customer-facing roles. • Strong software engineering fundamentals and a deep understanding of software systems and architecture. • Experience working with APIs, integrations, data flows, databases, and complex enterprise systems. • Experience working with AI agents, LLMs, automation platforms, or enterprise AI applications. • Experience leading technical customer engagements from discovery through deployment. • Strong product mindset with the ability to understand customer pain points and translate them into scalable product solutions. • Excellent communication skills and confidence working directly with enterprise customers, engineering teams, and executive stakeholders. • High level of ownership and the ability to independently solve ambiguous technical and business problems. • Comfortable working in a fast-moving startup environment and building processes from the ground up. • Based in Israel and comfortable traveling regularly across the U.S. to work on-site with customers. • Curiosity and passion for AI, automation, and building technology that creates measurable business impact. Nice to Have • Experience in Forward Deployed Engineering, Solutions Engineering, or another technical customer-facing role. • Experience operating and improving production systems. • Experience working with large enterprise customers. • Experience in commercial real estate, PropTech, or other complex enterprise environments. Benefits Why Join REAL? • Be the first Forward Deployed Engineer at REAL and build the function from the ground up. • Work directly with some of the largest enterprise real estate organizations in the U.S. • Combine deep engineering work with product thinking, customer interaction, and real business impact. • Spend time on-site with customers across the U.S., solving complex problems in real-world environments. • Work closely with REAL’s founders, Product, and Engineering teams and have a direct influence on how the product evolves. • Help drive not only successful deployments, but also customer adoption and long-term account growth. • Join a fast-growing AI company already trusted by leading enterprise customers.

Description Kela is a secure, open platform enabling rapid and seamless integration of commercial and military systems in service of Western defense. Designed and battle-tested by Israeli innovators, Kela ensures the West meets today’s frontline challenges and evolves with tomorrow’s innovations. We’re looking for a Forward Deployed Engineer (FDE) to own the technical relationship with large customers and help them successfully deploy and expand Kela’s platform. You’ll work directly with customer engineers, design integrations, troubleshoot real systems under real constraints, and when needed, build scrappy 0→1 features or prototypes that unblock a deal or a deployment. Responsibilities • Own the technical relationship with assigned customers across pre-sale and post-sale (workshops, deep-dives, onboarding, expansions). • Deeply understand customer architecture, constraints, and requirements; translate them into a practical integration plan and solution design. • Lead hands-on integrations end-to-end (APIs, data flows, auth, networking, deployments), sometimes from the customer’s offices. • Be the “get it working” person: reproduce issues, debug complex environments, and drive resolution with Support / Engineering (or fix it yourself when it’s faster). • Define customer-specific requirements, surface product gaps, and turn field learnings into clear product feedback (features, priorities, edge cases). • Build small “out-of-band” components when needed (scripts, adapters, demos, prototypes) to win deals and accelerate deployments. • Create technical assets that scale: reference architectures, integration guides, sample code, and repeatable deployment patterns. Requirements • 5+ years in a hands-on engineering role • Strong coding ability and comfort with shipping production-grade code • Excellent troubleshooting skills: you can take vague symptoms and drive to root cause fast. • Customer-facing maturity: can lead technical conversations, run workshops, and manage expectations without drama. • High ownership and bias to execution: you like closing loops, not writing long docs about why something is hard. • Willingness to travel and work on-site when required. Nice to have • Experience with mission-critical / defense / security-sensitive environments. • Experience with Kubernetes, on-prem deployments, constrained networks, or air-gapped environments. • Comfort using modern AI dev tools (e.g., Cursor / Claude Code) to move faster.

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across PDFs, spreadsheets, emails, drawings, public records, and disconnected systems, leading to preventable leakage, missed obligations, and lost opportunities. Used by leading enterprises, REAL transforms fragmented information into connected intelligence and automated action. Our AI-powered platform helps customers improve operational accuracy, uncover financial opportunities, and make better business decisions. We’re looking for our first Forward Deployed Engineer (FDE) to join REAL and help build this function from the ground up. This is a highly technical, hands-on, and customer-facing role. You’ll be based in Israel, working closely with our Product and Engineering teams, while traveling regularly across the U.S. to work on-site with our enterprise customers. You’ll work directly with customers to understand their business processes, technical environments, and operational challenges, and translate them into AI-powered solutions. You’ll own projects end-to-end — from discovery and requirements gathering through technical design, development, deployment, adoption, and continuous improvement. As our first FDE, you’ll have a unique opportunity to define how REAL works with customers from a technical perspective, build the processes and best practices for this function, and play a key role in how we scale customer delivery. We’re looking for a strong engineer with a product mindset who enjoys navigating ambiguity, working directly with customers, and turning complex business problems into scalable technical solutions. REAL Values Ownership – We take responsibility and move decisively. Clarity – We simplify complexity to deliver meaningful impact. Accuracy – Precision matters in everything we do. Velocity – We move fast and execute with purpose. Partnership – We succeed by working closely together. What You’ll Do • Partner directly with enterprise customers, both remotely and on-site across the U.S., to deeply understand their business processes, technical architecture, data flows, and operational challenges. • Lead technical discovery sessions, gather business and product requirements, and translate complex customer needs into scalable AI-powered solutions. • Design, build, configure, and deploy production-ready AI agents, integrations, and workflows that operate reliably within customer environments. • Work hands-on with APIs, enterprise systems, structured and unstructured data, and customer infrastructure to deliver end-to-end solutions. • Own customer engagements from technical discovery through implementation, deployment, adoption, and continuous optimization. • Validate solutions using real customer data, troubleshoot technical challenges, and continuously improve system performance and business outcomes. • Drive measurable business impact by identifying new use cases, increasing platform adoption, and helping drive growth and expansion within customer accounts. • Work closely with Product and Engineering in Israel to influence product direction based on customer feedback, implementation learnings, and real-world use cases. • Act as the technical owner throughout the customer engagement, building trusted relationships with both technical and business stakeholders. • Create reusable implementation playbooks, tools, and best practices that help scale the FDE function as REAL grows. • Travel regularly to customer sites across the U.S., including spending meaningful time on-site during discovery, implementation, deployment, and expansion. Requirements What We’re Looking For • 5+ years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, or other highly technical customer-facing roles. • Strong software engineering fundamentals and a deep understanding of software systems and architecture. • Experience working with APIs, integrations, data flows, databases, and complex enterprise systems. • Experience working with AI agents, LLMs, automation platforms, or enterprise AI applications. • Experience leading technical customer engagements from discovery through deployment. • Strong product mindset with the ability to understand customer pain points and translate them into scalable product solutions. • Excellent communication skills and confidence working directly with enterprise customers, engineering teams, and executive stakeholders. • High level of ownership and the ability to independently solve ambiguous technical and business problems. • Comfortable working in a fast-moving startup environment and building processes from the ground up. • Based in Israel and comfortable traveling regularly across the U.S. to work on-site with customers. • Curiosity and passion for AI, automation, and building technology that creates measurable business impact. Nice to Have • Experience in Forward Deployed Engineering, Solutions Engineering, or another technical customer-facing role. • Experience operating and improving production systems. • Experience working with large enterprise customers. • Experience in commercial real estate, PropTech, or other complex enterprise environments. Benefits Why Join REAL? • Be the first Forward Deployed Engineer at REAL and build the function from the ground up. • Work directly with some of the largest enterprise real estate organizations in the U.S. • Combine deep engineering work with product thinking, customer interaction, and real business impact. • Spend time on-site with customers across the U.S., solving complex problems in real-world environments. • Work closely with REAL’s founders, Product, and Engineering teams and have a direct influence on how the product evolves. • Help drive not only successful deployments, but also customer adoption and long-term account growth. • Join a fast-growing AI company already trusted by leading enterprise customers.

About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team. Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers. The Role We're building a local Enterprise Sales Pod in Tel Aviv — one AE and one Forward Deployed Engineer (FDE), working together to build a Telnyx enterprise business in your market. You'll embed directly with enterprise customers to architect and ship production systems on Telnyx's global network — voice, messaging, AI, and wireless. This isn't about demoing products. It's about building real solutions that work at scale. You'll work side-by-side with a dedicated Enterprise AE — not a demo resource, but a commercial partner who owns the named-account list, builds executive relationships, and closes the deal. You own the technical side: discovery, architecture, POC, and production go-live. You win together. No throw-over-the-wall. The Pod Model Enterprise AE — owns the named-account list, builds executive relationships, gets in the room, owns commercial qualification and close, expands the account.. Forward Deployed Engineer — owns technical discovery, designs the architecture, builds the POC when gated, gets the first workload live, removes blockers and finds the next workload. We sell the workload, not the SKU. Customers buy a production outcome — an AI contact center, a SOC/NOC agent, global communications, connected mobility, or enterprise inference — that runs on Telnyx primitives (voice, messaging, numbers, wireless, Voice AI, inference, agents, connectivity). You lead with the outcome conversation, not a product menu. What You'll Do • Embed with enterprise customers to understand their communications workflows, AI use cases, and integration challenges firsthand • Build and deploy custom implementations: AI Voice Assistants, Telnyx APIs (Voice, Messaging, Fax, Wireless), WebRTC • Run open-weight LLMs in customer environments — consume GLM, Kimi, DeepSeek, Qwen, and MiniMax through Telnyx Inference (OpenAI-compatible API; there's no model infrastructure for you to run), or deploy self-hosted stacks (Llama, Mistral, and region-specific models like Hebrew-adapted LLMs or other sovereign models) behind your own serving engine when air-gapped or sovereign-cloud requirements demand it • Deploy and operate LiteLLM as the model gateway in customer environments: a unified OpenAI-compatible interface across self-hosted open-weight models and hosted providers, with routing, load balancing, retries and fallbacks, rate limits, and per-team virtual keys • Instrument and govern LLM usage through the gateway — cost tracking and budgets, caching, logging and observability (OpenTelemetry, Langfuse, or similar), and guardrails — so customers can see and control what their AI workloads are doing • Wire production observability for everything you ship — metrics, logs, traces, dashboards, and alerting (e.g. Prometheus + Grafana for metrics, OpenTelemetry for traces, Graylog or ELK for logs — or the customer's existing stack) — so you and the customer's ops team both know what "healthy" looks like and what pages whom when it isn't • Design model routing strategies for real-time voice workloads, balancing latency, cost, and quality, with sane fallback behavior when a provider degrades • Make the build-vs-buy case between self-hosted open-weight models and hosted frontier APIs, and keep the customer's application code portable across both • Adapt models to customer domains: prompt and RAG pipelines and evaluation harnesses for Hebrew and English language use cases and Israel-specific regulatory environments (Privacy Protection Law, data localization requirements, defense/security sector compliance) • Lead POCs, pilots, and production launches from whiteboard to go-live • Own customer outcomes — stay engaged until the solution is live and stable • Collaborate directly with Product and Engineering to shape the roadmap based on field insights from Israel • Create clear technical documentation, runbooks, and maintainable solutions for handoff • Troubleshoot and resolve complex integration issues alongside customer teams What We're Looking For • CS degree or equivalent experience • 3+ years building and shipping production software — you've written code that real users depended on, you've been on-call for it, and you've debugged it when things broke. (A consulting background counts if this is also true of you.) • Proficiency in multiple languages: Python, Node.js/TypeScript, Go — you're more dangerous in some than others. (Telnyx Edge Compute — functions and stateful actors — is TypeScript, so that one pulls double duty.) • Practical understanding of what breaks in front of a model in production: provider rate limits and quotas, timeout and retry behavior, streaming, token accounting and cost attribution, and the failure modes that only show up under concurrency • Comfortable deploying containerized services on Kubernetes, with secrets management, config, and upgrades as part of the deployment story • You've wired observability and been paged because of it — Prometheus + Grafana, OpenTelemetry, Graylog, ELK, or equivalent. You know what to monitor, what to alert on, and what "healthy" looks like • High-concurrency experience — Kafka, message queues, or event streams at real scale. When throughput spikes you know what breaks — consumer lag, backpressure, hot partitions, rebalance stalls — and what absorbs it: partitioning, consumer groups, parallelism up to your partition count • You've built APIs from scratch, not just consumed them — OpenAPI spec, REST/GraphQL design, auth, rate limiting, versioning, idempotency • Event-driven thinking and cloud-native instincts • Exposure to SIP, WebRTC, or real-time voice/messaging systems • Self-sufficient by default — there's no engineering team behind you. You read the code and the docs, ask the customer (not your manager), and make sound engineering judgment calls on your own • Customer-facing engineering experience — you can run discovery with a customer's engineers and present to their executives in the same week • Ability to translate "it's not working" into root cause • Comfortable working on customer sites and in high-stakes technical conversations • Excellent written and verbal communication in English and Hebrew. You can run whiteboard sessions, live troubleshooting, and escalations with customer engineering teams. • Based in Tel Aviv, or willing to relocate — this is a hybrid role with travel across Israel • Legally authorized to work in Israel, or eligible for sponsorship Bonus Points For • Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems • Building eval sets for a specific domain • Hands-on production experience with an LLM gateway — LiteLLM, Portkey, Kong AI Gateway, or an in-house OpenAI-compatible proxy — including config-driven model definitions, routing and fallback rules, and virtual key management • Familiarity with the open-weight model landscape and the trade-offs between regional and multilingual models, including Hebrew-adapted LLMs and Israeli AI initiatives • Experience with an inference serving engine behind the gateway — vLLM, SGLang, or TGI for production serving; Ollama for lightweight on-prem — and sizing GPU capacity for self-hosted models (KV-cache footprint, concurrent batch size, and context length against VRAM) • SQL proficiency (Postgres, MySQL, Oracle) • ETL and data wrangling experience • CI/CD pipeline design and automation • Background in telecom, CPaaS, or high-growth SaaS • Experience with sovereign or on-prem cloud deployments and Israeli regulatory frameworks (Privacy Protection Law, data localization, defense/security sector compliance including IL2/IL3/IL4 classification, dual-use technology export controls) • Security mindset (IAM, encryption, audit logging) #LI-RH1

CONTRACTOR: Forward Deployed Engineer, Pendo Predict The team + the role Pendo Predict helps companies act on customer behavior before problems surface. We build custom predictive models — churn, upsell, expansion, and more — on top of product usage, CRM, and data warehouse data, and put those insights directly into the workflows of CS, Sales, and Product teams. By analyzing historical product usage alongside CRM and data warehouse outcomes, Predict forecasts which accounts are at risk, ready to expand, or likely to convert — surfacing intelligence where teams can actually act on it. As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments — and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours. This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office. What this looks like day-to-day • Run technical discovery with customers to assess product analytics maturity, data availability, and business processes — and use that to set realistic implementation expectations and position Predict for their stage. • Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices. • Build and present compelling predictions in the prospect's own domain — explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams. • Guide customer IT and data teams through integration steps, optimize model parameters for each customer's specific context, and diagnose and resolve blockers quickly — data quality issues, configuration gaps, and expectation misalignments included. • Help customer teams translate predictions into actions and playbooks; document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes. • Identify and enable champion users to evangelize Predict internally — and channel field learnings back to Product and Engineering to shape the roadmap. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Forward Deployed Engineers don't just implement — they create momentum on problems that aren't fully defined, earn trust with technical and business stakeholders alike, and make sure what they learn in the field makes the product better. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything: how you explore unfamiliar data schemas, how you build proof-of-value models, how you document customer environments for handoff. We want someone who sees AI as a multiplier, not a shortcut. Must-haves • 2+ years of experience in a pre-sales engineering, technical account management, or similar customer-facing technical role in B2B SaaS. • Strong, hands-on SQL — comfortable exploring unfamiliar schemas, building data models, and validating data quality in live customer environments. • Ability to run technical discovery and communicate complex concepts credibly to both business stakeholders and data or engineering teams. • Comfort with ambiguity and ownership — you can create momentum on problems that aren't fully defined without waiting for someone to scope it for you. • Excellent written and verbal communication skills in English. • Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required. Nice-to-haves • Background in data, analytics, or BI — analytics engineering, data analysis, BI development, or data science. • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows). • Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude. • Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values). About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office on US EST hours. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details 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 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 Doing • 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 Person If... • You have 10+ 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 • High level of proficiency in Hebrew and English Even Better If... • 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 insight • 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. 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.

Description About us Oligo is a fast-growing cybersecurity startup transforming how organizations protect their applications, cloud environments, and AI systems at runtime. Backed by top-tier investors including Greenfield Partners, Red Dot Capital Partners, Lightspeed, Ballistic Ventures, and TLV Partners, we're on a mission to make real-time security a reality. Oligo's industry's leading runtime security platform built to stop attacks in real time without stopping the business. We transform security from passive visibility to active protection across applications, cloud services, workloads, and AI systems. By uncovering the deepest layers of what actually runs in production, Oligo helps organizations prioritize exploitable vulnerabilities, detect malicious behavior as it happens, and stop modern attacks in their tracks. We're looking for a Forward Deployed Engineer to serve as the deep technical partner for our largest and most strategic accounts. You'll be working closely with our dev, product, and support teams, while building strong, trust-based relationships with customers' security engineers and executives alike. This is a hands-on, highly technical role for someone who can go deep into a customer's environment, infrastructure, and tech stack, and who's comfortable both in the weeds with engineers and in the room with executives. Key Responsibilities • Serve as the primary technical point of contact for our largest and most strategic accounts • Build deep, trust-based relationships with customers’ security engineers, platform teams, and CISOs by developing a thorough understanding of their workflows, teams, infrastructure, and tech stack • Own complex deployments end to end, from architecture design through rollout across large production estates • Build and ship inside the customer’s environment - custom integrations, automation, and tooling that close the gap between what Oligo does out of the box and what the customer actually needs • Author and tune runtime policies for customer-specific workloads, traffic patterns, and risk tolerance • Design and deliver integrations into customer SIEM, SOAR, data lake, and CI/CD pipelines • Debug at the systems level - sensor behavior, performance overhead, kernel and runtime interactions - and drive root cause together with R&D • Support deployments in regulated and air-gapped environments, including FedRAMP-authorized • Travel to customer sites to strengthen relationships and support technical initiatives on the ground • Work hand-in-hand with our dev, product, and support teams in Israel to advocate for customer needs and drive resolution of technical issues • Turn repeat field work into product - feed reusable deployment patterns, tooling, and reference architectures back to R&D so the next deployment is faster than the last • Translate deep technical detail into business impact for executive stakeholders • Proactively identify risks and opportunities within accounts, partnering with Customer Success and Sales on account strategy Requirements Qualifications • Solid, hands-on background in cybersecurity, with specific experience in runtime security • Deep understanding of how workloads run across container runtimes (Docker, containerd, Podman), orchestrated environments (Kubernetes, OpenShift), and non-containerized hosts (VMs, bare metal) - enough to independently customize, deploy, test, and troubleshoot Oligo’s solution in each • Strong Linux fundamentals - processes, namespaces, cgroups, syscalls - and familiarity with eBPF or other kernel-level instrumentation • Proficiency in at least one of Python, Go, or Bash, and comfort reading code in customer application stacks such as Java, Node.js, Python, or Go • Hands-on experience with deployment and GitOps tooling (Helm, ArgoCD, FluxCD) and with Kubernetes distributions such as OpenShift, EKS, GKE, and AKS • Strong SQL skills and comfort analyzing dense datasets across logs, metrics, and relational databases • Experience with sensor-based security tooling and CADR (Cloud Application Detection and Response) • Comfort debugging live production systems under pressure, without disrupting them • Experience in a customer-facing technical role at a cybersecurity company - Forward Deployed Engineer, TAM, Solutions Engineer, or similar - or equivalent hands-on engineering experience with direct customer exposure • Experience working with enterprise or large-scale customer environments, including global organizations • Proven ability to build trust and credibility with technical stakeholders, alongside strong executive communication skills - comfortable presenting to and engaging with senior leadership • Based in Israel, ideally near our technical teams (dev, product, support), with willingness to travel to customer sites and to overlap with US working hours as needed • Excellent verbal and written communication skills in English Nice to Have • Background in software engineering, DevOps, or SRE prior to moving into a customer-facing role • eBPF, kernel, or low-level systems development experience • Experience with CI/CD pipelines and infrastructure as code (Jenkins, GitLab CI, GitHub Actions, Terraform) • Working knowledge of cloud networking and security controls - egress paths, proxies, TLS inspection, private endpoints, and IAM • Experience integrating security tooling with SIEM, SOAR, or observability platforms (Splunk, Microsoft Sentinel, Datadog, Coralogix, Grafana) • Experience with regulated, air-gapped, or FedRAMP environments • Open source contributions in the cloud-native or security ecosystem • Exposure to AI and LLM workloads and the security considerations around them

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the role: As a Forward Deployed Engineer at Unframe, you'll work at the intersection of Engineering, Product, and our customers. You'll use your engineering experience to help enterprise customers deploy AI systems into production, solve complex technical challenges, and deliver solutions with real business impact. What you’ll do: • Work directly with enterprise customers to understand their business and technical challenges. • Translate open-ended problems into practical AI solutions. • Build production-grade integrations, workflows, and automations across customer systems, APIs, and data sources. • Build and ship customer-facing solutions, not just prototypes or technical designs • Deploy, test, and iterate in real customer environments. • Own customer implementations from discovery through production. • Partner closely with Product and Engineering to improve the platform. • Design and implement LLM-powered workflows and agentic systems for real enterprise use cases. What we are looking for: • 5+ years of software engineering experience. • Comfortable working in a fast-paced startup environment. • Strong ownership and the ability to drive projects from discovery to production. • Experience working directly with customers and translating business needs into technical solutions. • Experience integrating systems using APIs and working in production environments. • Strong hands-on experience with TypeScript/JavaScript, Node.js, React/Vue, and PostgreSQL. • Experience with AI, LLMs, MCP, or agentic workflows. • Experience in a Forward Deployed Engineering, Solutions Engineering, or other customer-facing technical role. Why join us? • Real ownership from day one. Drive decisions, shape ideas and make them work. • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. • You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!

The Role As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. What You’ll Do • Embed with customers to understand their workflows, constraints, and measures of success. • Turn loosely defined operational problems into clear technical plans and production systems. • Design and build AI agents that integrate with customer tools, data, and business processes. • Own deployments from prototype through launch, monitoring, and continuous improvement. • Test with real-world data, measure business outcomes, and iterate based on evidence. • Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. • Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. • Turn lessons from individual deployments into reusable tools, patterns, and best practices. What We’re Looking For • 5+ years of experience building software or solving complex technical problems. • Strong foundations in software architecture, system design, and production engineering. • Experience working across APIs, integrations, data flows, and distributed systems. • The ability to bring structure and momentum to ambiguous problems. • Confidence working directly with customers, from operational teams to technical stakeholders. • Clear communication, sound judgment, and a strong sense of ownership. • Genuine curiosity about applied AI and its potential to transform how businesses operate. Nice to Have • Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. • Experience building AI agents, workflow automation, or conversational systems. • Familiarity with LLM evaluation, observability, and reliability in production. • Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice

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

Description Deloitte Technology & Transformation | Israel We’re building a new kind of transformation team and looking for exceptional technical leaders to help shape and lead it. Our starting point is a simple question: If we could redesign this business from scratch with AI, how should it work? As a Lead Forward Deployed Engineer, you’ll take on our hardest and most ambiguous transformation challenges. You’ll go deep into how the business actually works, challenge existing assumptions, reimagine processes for an AI native world, and lead the build all the way into production. This is a deeply hands on technical leadership role. You’ll move from business problem to architecture to code to production, working with engineers, users and senior leaders along the way. You own the outcome end to end. The job is not done at a recommendation or prototype. It is done when what we build works in production and creates measurable business impact. At the same time, you’ll help build the FDE capability itself, raising the technical bar, developing exceptional engineers and bringing the engineering culture and product mindset of leading technology companies into how we build. What you’ll do • Take ownership of complex, open ended problems, bringing structure and technical direction where neither is obvious. • Go deep into the business, understanding workflows, decisions, users, data, systems and constraints before deciding what should be built. • Reimagine end to end business processes for an AI native world, rather than simply automating how they work today. • Own the journey from problem definition and architecture through hands on build, deployment, adoption and measurable business outcome. • Architect and build AI powered applications, agents, workflows and enterprise systems, staying hands on in code and critical technical decisions. • Ensure solutions become secure, reliable, scalable production systems, not prototypes. • Set the technical and engineering bar for the FDE team, developing exceptional engineers and helping them independently own complex problems end to end. • Build reusable architecture patterns, components and ways of working that allow successful solutions to scale. Requirements • 8+ years of software engineering experience, with significant technical leadership responsibility. • Meaningful experience in a senior engineering or technical role within a leading global technology company, high growth technology company or scaled technology startup. • Exceptional coding ability and deep expertise in software architecture, system design, backend engineering, distributed systems, data and cloud infrastructure. • A strong track record of personally designing, building and operating complex production grade systems at scale. • Deep hands on experience with LLMs, AI agents and applied AI systems, including orchestration, evaluation, observability, reliability and security in production. • The ability to operate in highly ambiguous environments, learn unfamiliar business domains quickly and turn loosely defined problems into working systems. • The ability to combine engineering depth, product judgment and business intuition, moving comfortably from a senior business conversation to architecture and code. • Exceptional ownership. You stay with the problem from first principles through production and measurable impact. • A builder and multiplier mindset. You remain hands on while raising the technical bar of the engineers around you and building capabilities that scale beyond any single solution. Why Deloitte AI is creating an opportunity to fundamentally rethink how enterprises operate. At Deloitte, you’ll have the opportunity to help define that future at enterprise scale and build an exceptional FDE capability from the ground up. The goal is not to add AI to the enterprise. It is to reimagine the enterprise with AI and build what comes next. Full time Job Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms. Description Hebrew אין צורך מול גלית רוטשטיין Requirements Hebrew אין צורך מול גלית רוטשטיין

Description Deloitte Technology & Transformation | Israel We’re building a new kind of transformation team. Our starting point is a simple question: If we could redesign this business from scratch with AI, how should it work? We’re looking for exceptional Forward Deployed Engineers who can answer that question, and then build the answer. As an FDE, you’ll sit at the intersection of software engineering, AI, product and business. You’ll go deep into how an organization works, challenge existing assumptions, reimagine how work should be done in an AI-native world, and build it. This is a deeply hands on role. You’ll own problems end-to-end: from an ambiguous business challenge, through architecture and hands-on engineering, all the way to production, adoption and measurable business outcomes. You won’t stop at recommendations or prototypes. You own the outcome. What you’ll do : • Embed with teams to understand their workflows, decisions, data, systems and measures of success. • Turn complex, open-ended problems into clear technical designs and production-grade solutions. • Reimagine end-to-end business processes for an AI-native world, rather than simply automating how they work today. • Architect and build AI powered applications, agents and workflows integrated with real enterprise systems and data. • Write production quality software across APIs, integrations, data, cloud infrastructure and enterprise platforms. • Deploy into production, test with real users and data, measure outcomes and continuously iterate. • Work directly with everyone from engineers and operational users to senior executives. Requirements We’re looking for exceptionally strong engineers and problem solvers, people who can enter an unfamiliar business, understand it quickly, imagine a radically better way for it to operate, and have the technical ability to build it. Technical foundation : • 4+ years of professional software engineering experience, or equivalent evidence of exceptional technical ability. • Excellent coding ability and strong Computer Science foundations, including data structures, algorithms and systems design. • Proficiency in one or more modern programming languages such as Python, Java, C++, C#, Go or TypeScript/JavaScript. • Strong experience in software architecture, backend development and production engineering, including APIs, integrations, databases, data flows and distributed systems. • Hands-on experience with cloud infrastructure (AWS, GCP or Azure) and modern engineering practices including CI/CD, automated testing, observability and production monitoring. • Proven experience building, debugging, deploying and operating production-grade software not only prototypes. • Hands-on experience building with LLMs, AI agents, orchestration frameworks and applied AI systems, including evaluation, reliability and observability in production. How you operate : • You bring structure to problems that initially have none. • You learn new technologies and business domains extremely quickly. • You make decisions with incomplete information and operate effectively with minimal supervision. • You combine deep technical ability with strong product and business intuition. • You can move from a conversation with a senior executive to an architecture discussion to writing code. • You challenge assumptions, take extraordinary ownership and iterate until what you’ve built works in the real world. Why Deloitte : AI is changing more than technology. It is changing how companies operate. At Deloitte, you’ll work on some of the largest and most complex enterprise transformation challenges, with access to the people, processes, data and systems at the heart of how organizations operate. You’ll combine the speed and ownership of a builder with Deloitte’s industry knowledge, technology capabilities and ability to operate at enterprise scale. The goal is not to add AI to the enterprise. • It is to reimagine the enterprise with AI and build what comes next. Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.