Forward Deployed Engineer jobs in Israel

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.

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.

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.

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

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.