Jobs in Tel Aviv-Yafo

Senior Customer Engineer

Description Join Noma Security and help shape the future of AI security. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI, Agents, and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle—from development to production and autonomous agents. Our team works at the intersection of AI, security, and cloud, shaping a new category in a fast-evolving market. We’re looking for a Senior Customer Engineer to help customers deploy, integrate, and operate Noma successfully within their production environments. You’ll be the hands-on technical resource for complex post-sales engagements, translating customer use cases into reliable configurations, integrations, automation, and operational workflows. Your work will span endpoints, cloud platforms, identity, networking, SaaS integrations, and AI development environments. You’ll work alongside the Customer Solutions Architect, who owns the overall customer relationship and outcomes, while you lead the technical execution required to make those outcomes achievable and scalable. This role is ideal for a highly technical, customer-facing generalist who enjoys moving across technologies, building solutions, and owning complex technical challenges from deployment through resolution. 🛠️ What You’ll Do • Technical Operationalization: Translate customer use cases into technical requirements, configurations, integrations, workflows, and production-readiness plans. • Hands-on Deployment: Lead deployment, integration, and troubleshooting across endpoint and MDM environments, IDE integrations and coding agent hooks, cloud connectors, SaaS integrations, and gateway and runtime deployments. • Build and Automate: Write scripts, work with REST APIs, configure Docker and Kubernetes deployments, and set up infrastructure within customer environments. Turn one-off solutions into reusable tools and implementation patterns. • Own Technical Escalations: Drive complex technical issues from investigation through resolution. Reproduce issues, collect and analyze logs, develop mitigations, and provide Engineering with clear, actionable bug reports and reproduction steps. • Technical Adoption: Help customers embed Noma into recurring security and operational workflows through workshops, enablement, runbooks, and technical best practices. • Cross-functional Collaboration: Work closely with Customer Solutions, Product, Engineering, Research, Security, and Support, bringing technical customer insights back into the platform and improving the deployment experience. ✅ What You Bring • 5+ years of experience in customer-facing technical roles within B2B SaaS, including a background in Solutions Engineering, Professional Services, or Tier 3 Support at a cybersecurity vendor, such as an EDR, DLP, or CASB/SASE provider. • Proven experience deploying and integrating solutions in enterprise customer environments, including setting up infrastructure, navigating complex dependencies, and troubleshooting production systems. • Broad technical expertise and a generalist mindset, with the ability to move confidently between endpoint management, cloud infrastructure, identity providers and SSO, and networking. • Hands-on experience with endpoint and MDM tools, such as Jamf or Microsoft Intune, and cloud platforms and services such as AWS, Azure, GCP, or Databricks. • Strong scripting and building skills, using Python, Bash, or PowerShell for diagnostics, automation, data processing, and integrations, alongside practical experience with REST APIs, Docker, and Kubernetes. • Strong troubleshooting skills across authentication, logs, security controls, and system integrations, with the ability to isolate issues and own technical escalations through resolution. • Excellent communication skills, with the ability to lead technical customer conversations and explain complex concepts clearly. • A proactive, customer-focused approach, with a preference for scalable, reusable solutions that help customers operate successfully over time. 🎯 Nice to Haves • Familiarity with AI technologies and workflows, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP. • Experience integrating with IDEs, coding agents, or AI gateway and runtime infrastructure. • Experience with CI/CD systems, infrastructure as code, observability platforms, CRMs, or ticketing systems. 💙 Perks & Benefits • Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. • A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 • Team bonding activities, company retreats, happy hours, and holiday gifts. • Pilates classes at the office 💪🧘‍♀️ • Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ • A warm, supportive, and people-first company culture. • Pension and Keren Hishtalmut (advanced training fund). • A global work environment with teams across Tel Aviv, the US, the Netherlands, and London. • Options that let you share in Noma’s growth and success.

Customer Engineer

Senior Customer Success Architect

Customer Success Architect

Description Join Noma Security and help shape the future of AI security. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI, Agents, and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle—from development to production and autonomous agents. Our team works at the intersection of AI, security, and cloud, shaping a new category in a fast-evolving market. We’re looking for a Senior Customer Solutions Architect to own strategic post-sales relationships and help customers build and mature their AI Security and Governance programs. This role combines the technical and consultative strengths of a Solutions Engineer with long-term ownership of customer strategy, adoption, and value realization. You’ll work with stakeholders ranging from security practitioners to CISOs, continuously discovering new use cases and translating customer priorities into phased plans with clear owners, timelines, and measurable outcomes. You’ll own the overall customer relationship and technical direction, including deployment roadmaps, success plans, quarterly business reviews, and platform expansion after the initial rollout. Sales will own commercial discussions and negotiations. You’ll partner with Customer Engineers on deployment, integrations, configuration, and troubleshooting, while bringing enough technical depth to scope solutions, investigate issues, and challenge assumptions with specific findings. 🛠️ What You’ll Do • Strategic Customer Leadership: Own post-sales relationships for a focused portfolio of enterprise customers, building trusted partnerships across technical practitioners, security leaders, and executives. • Customer Planning & Execution: Build and drive deployment roadmaps and success plans with clear phases, owners, and target dates. Lead quarterly business reviews to assess progress, demonstrate value, and align on next steps. • Discovery & AI Security Advisory: Understand each customer’s AI environment, security program, priorities, and risks. Work with CISOs, AI governance stakeholders, and architecture teams to translate those priorities into practical implementation plans. • Technical Scoping & Escalations: Scope deployments, review architecture and integration requirements, and use API documentation and logs to investigate issues. Validate assumptions and engage R&D with specific technical findings, clear questions, and well-defined escalation requests. • Value, Adoption & Platform Expansion: Connect customer objectives to Noma’s capabilities, define measurable outcomes, and drive adoption beyond the initial rollout. Identify additional workloads, teams, and use cases where Noma can deliver value, coordinating with Sales when commercial follow-up is needed. • Cross-functional Leadership: Coordinate Customer Engineering, Product, Research, Engineering, Security, and Support resources to move customer plans forward, resolve blockers, and bring customer insights back into Noma. ✅ What You Bring • 5+ years of experience in customer-facing cybersecurity roles, with a strong background in hands-on Solutions Engineering or Solutions Architecture, ideally in a post-sales role at a security vendor. • Proven ownership of enterprise customer strategy and technical outcomes, including discovery, deployment planning, success plans, executive reviews, and ongoing adoption. • Strong technical depth, with the ability to scope a deployment, read API documentation and logs, assess integration requirements, and discuss specific technical findings with R&D before escalating. • Strong cybersecurity expertise and a solid understanding of modern AI technologies and architectures, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP. • Confidence working with security leadership, including CISOs, AI governance teams, and architecture review stakeholders, with the ability to move between strategy, GRC and risk discussions, business outcomes, and deep technical conversations. • The ability to turn customer priorities into actionable, phased plans, with clear owners, dates, and success measures, and to identify opportunities for broader platform adoption. • Experience at an early-stage cybersecurity company, with the independence and adaptability to work with incomplete documentation, a rapidly evolving product, and the expectation of owning accounts within your first month. 🎯 Nice to Haves • Experience with AI security, AI governance, or securing generative AI applications and autonomous agents. • Familiarity with frameworks and standards such as NIST AI RMF, ISO/IEC 42001, OWASP guidance, MITRE ATLAS, and emerging AI regulation. • Experience across both pre-sales technical and post-sales customer-facing roles. 💙 Perks & Benefits • Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. • A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 • Team bonding activities, company retreats, happy hours, and holiday gifts. • Pilates classes at the office 💪🧘‍♀️ • Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ • A warm, supportive, and people-first company culture. • Pension and Keren Hishtalmut (advanced training fund). • A global work environment with teams across Tel Aviv, the US, the Netherlands, and London. • Options that let you share in Noma’s growth and success.

Description Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters. We’re looking for a Product Lead to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights. You will lead product vision and execution for critical capabilities that help organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will be accountable for turning complex customer problems into scalable product solutions, driving alignment across teams, and ensuring measurable customer and business outcomes. This is a high-visibility, high-impact role with true ownership, where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform. 🛠️ What You’ll Do: • Own Product Strategy & Vision (End-to-End) • Define and own the product vision, strategy, and long-term roadmap for core AI security domains. • Make clear prioritization decisions based on customer value, business impact, and technical constraints. • Act as the product owner and decision-maker throughout the entire product lifecycle. Lead End-to-End Product Execution • Drive products from discovery and ideation through delivery, launch, and iteration. • Write crisp PRDs, use cases, and UX flows that bring clarity to complex technical and security problems. • Work hands-on with engineering and design to ship high-quality features rapidly and iteratively. Be the Voice of the Customer • Develop deep understanding of enterprise customer workflows, risks, and success metrics. • Lead customer conversations, evaluations, and POCs, and translate insights into product improvements. • Ensure adoption, usability, and value realization post-launch. Deliver AI Security Outcomes • Lead the development of capabilities across data protection, AI governance, observability, and secure AI operations. • Align product decisions with evolving standards, compliance requirements, and emerging threat models. • Continuously assess product impact and iterate based on usage, feedback, and risk signals. Drive Cross-Functional Alignment & Go-To-Market • Partner with GTM teams on positioning, packaging, messaging, and enablement. • Communicate roadmap, timelines, and product impact clearly to internal and external stakeholders. • Serve as a connective tissue between R&D, Security, Sales, and Customers. ✅ What you bring: • 5+ years of experience in Product Management or Product Leadership roles, ideally in cybersecurity, AI, or enterprise platforms. • Proven experience owning products end-to-end, from strategy through production and adoption. • Strong technical background (software engineering, data engineering, or equivalent). • Ability to lead complex, ambiguous problem spaces and make confident product decisions. • Experience working directly with enterprise customers and leading evaluations/POCs. • Excellent communication skills visual, verbal, and written with the ability to simplify complexity. A strong sense of ownership, bias to action, and comfort in fast-paced startup environments.🎯 Nice to Haves • Experience as a Product Lead or senior PM in early-stage, product-led startups. • Background in ML/AI systems, AI observability, or model governance. • Experience building internal platforms or developer-facing products. • Familiarity with LLM workflows, RAG pipelines, or multi-model orchestration. 💡 Nice to Haves • Strong data-driven mindset with experience using analytics to guide product decisions. • Deep understanding of security implications across modern AI development lifecycles. • Familiarity with enterprise SaaS sales motions and B2B onboarding flows. 💙 Perks & Benefits • Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. • A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 • Team bonding activities, company retreats, happy hours, and holiday gifts • Pilates classes at the office 💪🧘‍♀️ • Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ • A warm, supportive, and people-first company culture • Pension & Keren Hishtalmut (advanced training fund) • A global work environment with teams across Tel Aviv, the US, the Netherlands, and London • Options that let you share in Noma’s growth and success

Senior MLOps Engineer

Machine Learning Engineer

Description Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters. We’re looking for a Senior MLOps Engineer to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights. As we scale our AIDR product and expand deeper into model-driven security intelligence, we are looking for a Senior MLOps Engineer to own the infrastructure, tooling, and operational foundations that power our NLP and LLM training, evaluation, and deployment workflows. You will architect and operate the systems that enable us to train, fine-tune, deploy, and monitor models at scale making ML at Noma reliable, fast, cost-efficient, and production-ready. This is a high-visibility, high-impact role where you will partner closely with DevOps, Backend, Data, and Product to establish world-class ML infrastructure from the ground up. 🛠️ What You’ll Do • Build & Scale ML Pipelines • Design, build, and maintain pipelines for training, fine-tuning, evaluating, and deploying NLP and LLM models across GPU and CPU environments. • Establish LLM-Focused CI/CD • Implement automated CI/CD workflows for ML models, including benchmarking, testing, performance gating, and production deployment. • Optimize Runtime & Inference • Select and optimize serving frameworks for low-latency, high-throughput inference, ensuring reliability and scalability. • Own ML Infrastructure • Manage training environments, experiment tracking, model registries, artifact versioning, and distributed training systems. • Operational Excellence • Monitor and optimize production models for performance, cost efficiency, availability, and observability. ✅ Requirement for success: • 5+ years in software engineering, MLOps, or ML engineering with hands-on experience deploying ML models to production. • Strong Python fundamentals and deep understanding of transformer architectures, tokenization, and NLP frameworks (PyTorch, HuggingFace). • Proven experience deploying and scaling LLMs for real-time inference—ideally on platforms like SageMaker, Vertex AI, or similar. • Expertise in GPU optimization, distributed training, and CPU-based inference optimization. • Strong cloud and Kubernetes background (EKS/GKE/AKS, Helm, Terraform, CI/CD for ML). 🎯 Nice to Haves • Background in building or operating internal ML platforms. • Knowledge of evaluation frameworks for LLM quality, robustness, or observability. • Experience working with data-driven ML operations, cost optimization, and model observability. • Understanding of security implications in ML pipelines. • Familiarity with multi-model orchestration, vector DBs, or retrieval pipelines. 💙 Perks & Benefits • Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. • A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 • Team bonding activities, company retreats, happy hours, and holiday gifts • Pilates classes at the office 💪🧘‍♀️ • Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ • A warm, supportive, and people-first company culture • Pension & Keren Hishtalmut (advanced training fund) • A global work environment with teams across Tel Aviv, the US, the Netherlands, and London • Options that let you share in Noma’s growth and success

Logistics Manager

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description Warehouse and Inventory Management • Manage warehouse operations, including receiving, storage, picking, packing, shipping and material issuance. • Oversee inventory levels, stock movements, FIFO, expiry dates and storage standards. • Manage material issuance to projects and operational teams. ERP and Data Management • Maintain accurate inventory data in NetSuite, generate reports and support budget control. • Generate inventory, shortage and stock movement reports to support budget control. • Conduct annual inventory counts or as needed. Team Management and Process Leadership • Manage one warehouse associate, including daily supervision, task prioritization and training, while providing hands-on support when needed. • Develop warehouse procedures and drive process improvements, automation and operational efficiency. • Provide hands-on warehouse support when needed, including receiving, picking, packing and shipping. Global Logistics Relationships • Coordinate with international field teams, PMs and logistics coordinators to ensure timely delivery of equipment, customized kits and supplies. • Maintain accurate shipment documentation, track deliveries and provide ongoing updates on inventory availability and shipment status. • Respond to urgent operational needs and adapt logistics solutions to project-specific requirements. International Shipping Management • Manage international shipments, freight forwarders and customs brokers, including quotes, bookings and delivery tracking. • Handle import/export documentation, customs compliance, Incoterms and freight cost control. • Manage dangerous goods and lithium battery shipments in accordance with applicable regulations and certification requirements. Incoming Inspection of Production Components • Perform incoming inspections, including quantity and documentation checks, visual inspections, measurements and functional testing according to engineering specifications. • Handle nonconforming components, NCRs and supplier returns in coordination with QA, Procurement and Engineering. • Release approved components to production through NetSuite, maintain inspection records and monitor supplier quality trends. Requirements • Practical Engineer in Industrial Engineering and Management – mandatory. • At least 2 years of experience in logistics or warehouse management. • At least 1 year of managerial experience. • Experience working with ERP systems. • High level of English (written and spoken). • Ability to read engineering drawings and technical specifications. • Experience with measuring tools (caliper, micrometer, etc.). • Willingness to perform hands-on warehouse work. • Strong ownership, excellent interpersonal skills and ability to work under pressure. Advantages • Experience with NetSuite. • Experience in customs, import/export and international freight forwarding. • Experience in incoming inspection of production components. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

Supply Chain Manager

Production Team Leader

Manufacturing Supervisor

Senior CAD/BIM Drafter & Modeler - Civil 3D

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description This is a senior, hands-on production role for an experienced CAD/BIM professional with strong expertise in Autodesk Civil 3D and AutoCAD, specializing in civil engineering drafting, 3D modeling, and BIM workflows. The successful candidate will work closely with engineers, surveyors, and multidisciplinary project teams to transform engineering designs, survey data, and existing-condition information into accurate, coordinated, and client-ready deliverables. :What You Will Do • Create and maintain detailed civil engineering drawings (CAD) and 3D models using Autodesk Civil 3D and AutoCAD. • Develop coordinated BIM deliverables from engineering drawings, survey data, as-built documentation, and other project inputs. • Produce and manage Civil 3D models, including surfaces, alignments, profiles, corridors, grading, pipe networks, sections, and construction documentation. • Create existing-condition models from LiDAR scans and registered point clouds, where applicable. • Translate 2D engineering drawings into accurate and coordinated 3D models, working directly with designers to capture design intent. • Incorporate survey data, point clouds, and subsurface utility information into CAD/BIM models, with an understanding of Subsurface Utility Engineering (SUE) practices and exposure to standards such as PAS128 (UK) or ASCE 38-22 (US). • Update models and drawings throughout the project lifecycle, ensuring accuracy, consistency, and clear version control. • Develop and improve CAD/BIM templates, standards, object libraries, and repeatable modeling workflows. • Coordinate model exchanges and resolve data-quality and modeling issues with multidisciplinary contributors. • Manage assigned tasks independently and deliver high-quality work within project schedules. Requirements • 7+ years of hands-on experience in CAD drafting and 3D modeling, with strong proficiency in Autodesk Civil 3D and AutoCAD, preferably on civil engineering and infrastructure projects. • Proven ability to develop accurate 2D engineering drawings and coordinated 3D BIM models from design drawings, survey information, and existing-condition data. • Strong understanding of civil engineering drawings, survey data, coordinate systems, spatial information, and model setup. • Experience delivering CAD/BIM models and drawings within structured project environments, following established workflows and client standards. • Understanding of BIM standards and delivery requirements, including ISO 19650, BIM Execution Plans (BEPs), and client specifications. • Experience working on infrastructure projects, such as roads, railways, drainage, utilities, land development, or major structures. • Strong QA/QC skills, attention to detail, problem-solving abilities, and the ability to work independentlywhile managing multiple assignments and deadlines. • Ability to collaborate effectively with engineers, surveyors, multidisciplinary project teams, and clients, with good technical English. Significant Advantages • Experience with scan-to-BIM and point-cloud-to-CAD workflows. • Experience incorporating survey data, point clouds, LiDAR, laser scans, or GIS data into Civil 3D and BIM models. • Experience using AI-powered tools to support and optimize CAD workflows. • Familiarity with Bentley Systems software and Autodesk Revit. • Experience with 3D MEP modeling and multidisciplinary BIM coordination. • Experience developing CAD/BIM standards, templates, automation, or production workflows. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

CAD/BIM Drafter

Utilities Coordinator

Site Operations Coordinator

Senior Marketing Designer

Navan is a pioneering force in the tech industry, known for its cutting-edge software solutions that redefine user experiences and drive innovation. We're a rapidly growing, dynamic company pushing the boundaries of what's possible, empowering businesses with intelligent and intuitive tools. We are seeking a highly talented and creatively driven Marketing Designer to join our dynamic Studio within the Growth Group, reporting directly to the Head of Design. What You'll Do: • Lead design for conversion funnels, collaborating closely with the CRO team and marketing managers to optimize landing pages, microsites, and digital experiences. This includes applying advanced UX principles, A/B testing insights, and mobile-first design thinking to maximize lead generation and conversion rates. • Design and deliver a high volume of digital static ads weekly for various performance marketing channels, ensuring brand consistency, compelling visuals, and campaign effectiveness. • Provide creative design support to the video team, especially for motion graphics and animated assets, helping conceptualize and develop visually compelling elements for video content. • Uphold and evolve Navan's brand identity across all digital touchpoints, ensuring visual consistency and elevating our brand perception. • Leverage market research and stay current with AI trends and design best practices to bring innovative ideas and concepts to life. • Create mockups and prototypes in Figma to visualize design ideas, facilitate feedback, and ensure optimal user experience. What We're Looking For: • Bachelor's degree in Graphic Design, Visual Communications, or a related field. • 5+ years of demonstrable experience as a Marketing Designer or Growth Designer, with a strong emphasis on performance marketing, conversion-driven design, and B2B SaaS/tech industry exposure. • An exceptional portfolio showcasing high-impact digital design projects, specifically in performance marketing, landing page optimization, and conversion funnels. • Expert proficiency in Figma is essential. Strong command of the Adobe Creative Suite. • Solid understanding of design principles (layout, typography, color theory) and deep knowledge of user-centered design (UCD) principles, particularly for optimizing conversion funnels. • Demonstrable 'AI-savvy' – familiarity with AI tools for design, content, or optimization, and a curiosity for leveraging AI in creative workflows. • Excellent communication and collaboration skills to work effectively with cross-functional teams. • Detail-oriented with a keen eye for aesthetics, able to manage multiple projects in a fast-paced environment. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Marketing Designer

Senior Full Stack Engineer

We believe “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going. We are looking for a passionate Full-Stack Engineer to lead, design and development of core product features and services that power our app used by thousands of travelers on a daily basis. You will work closely with a set of talented engineers, product managers and designers to identify customer needs and build innovative solutions to solve them. What You’ll Do: ● Design, build and evolve the core backend and frontend of our platform in a scalable and reliable way. ● Build AI-powered features using multi-agent architectures and LLM integrations to deliver intelligent, conversational experiences. ● Technically own problem domain: facilitate design, development, and launch of key microservices in the domain. ● Work cross-functionally with various engineering and product teams to deliver cross- domain features. ● Work with the leadership to identify, plan, and execute long-term vision. ● Be the Subject Matter Expert of the domain under ownership. What We're Looking For: ● At least 5 years of experience in software development. ● At least 2 years of experience in FE development using Angular, typescript, and React. ● Experience with Spring Framework and Hibernate or similar ORM technologies. ● Strong programming skills and CS fundamentals. ● Experience with agentic AI systems (LangChain, agent frameworks, prompt engineering) and AI coding tools (Claude Code, Copilot) is a strong plus. ● Deep understanding of microservices and event-driven architectures. ● Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation. ● Passion for investigating and solving problems and willingness to learn and utilize new tools and technologies. ● Team player with strong communication. ● Ability to thrive in a fast-paced environment. ● Experience working at scale. ● Experience with AWS and/or distributed systems is a plus. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Full Stack Developer

Senior Automation Engineer

Navan Edge is an AI-powered personal assistant and concierge for frequent business travelers, on iPhone and web. It learns preferences, executes complex bookings, stacks rewards like hotel loyalty, and hands off to a 24/7 human concierge. Edge is a chat product. Screens change with the conversation, and timing is not fixed. Writing stable UI automation for that is the core of this job. You'll plan and implement iOS and web automation for Edge, and define how the tests run, fail, and get owned. What You’ll Do: • Write and maintain UI automation for iOS (Maestro or equivalent) and web (Cypress or equivalent) on booking paths: hotels, flights, restaurants, loyalty. • Make tests stable on a chat UI: no hard sleeps, variable copy and layout, streaming results. A failure should mean a real defect, not flake. • Own coverage, stability, and effectiveness of Edge automation, and maintain the CI/CD for it (Bitrise, Jenkins, GitHub). • Define the protocol: what runs, when, what blocks a release, what is informational, what is skipped and why. • On failure: capture evidence, open a ticket with a named owner, retest after the fix. • Keep pass rate, flake rate, and coverage visible in dashboards people use. • Work daily with iOS, web, Edge, and SRE. Escalate quality risks early. What We’re Looking For: • 3 to 5 years building and owning UI automation, not only running an existing suite. • Experience automating dynamic or conversational UIs, or a clear record of fixing flaky tests. • Hands-on with agents and models: working with an agent product, MCP (or equivalent tool and agent interfaces), and enough model and LLM literacy to test and debug agent-driven UI. Not prompt research. • iOS: Maestro, or Appium/XCUITest with the ability to work in Maestro. • Web: Cypress or Playwright. • Strong troubleshooting and clear communication. Tickets include evidence and a named owner. • Comfortable in a fast-moving environment. Nice to have: • Maestro and Cypress in the same role. • Grafana. • Bitrise (CI/CD platform). • Slack and JIRA used a failure-to-ticket process. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Automation Engineer

Product Manager - Book with AI

We are looking for a Product Manager to shape the future of business travel through Book with AI. You will own the product across Hotels, Rental Cars, and Rail, while serving as the day-to-day product lead for the team and making complex bookings feel as natural, trustworthy, and seamless as working with an expert travel agent. We are looking for a Product Manager to own the Book with AI product end to end across Hotels, Rental Cars, and Rail. Your mission is to make booking complex business travel feel as natural as working with an expert travel agent - while making sure the agent is accurate, policy-aware, transparent, and reliable enough for real transactions. This is a highly cross-functional, hands-on role. You’ll lead day-to-day execution across the entire traveler journey - from the initial request through search, comparison, booking, post-booking support, and recovery when things go wrong, partnering closely with engineering, design, applied AI/ML, data, travel domain experts, operations, and other product teams. You’ll shape the conversational and user-interface experiences that power Book with AI, helping travelers express their needs, evaluate trade-offs, make confident decisions, and complete bookings with less effort. You’ll stay close to the customer experience by reviewing real conversations, leading bug bashes, interpreting evaluation results, identifying patterns in user feedback, and ensuring the team remains focused on the highest-impact opportunities. The ideal candidate thrives in ambiguity, learns quickly, and is energized by AI-native products. They create clarity and momentum without waiting for perfect information, roll up their sleeves, and drive work through uncertainty and chaos. What You'll Do • Own the vision, strategy, roadmap, and execution for Book with AI across Hotels, Rental Cars, and Rail. • Own the full Book with AI journey: intent understanding, search, ranking and recommendations, policy and personalization, comparison, contract, checkout, booking, and post-booking support. • Define a coherent cross-LOB experience for users who want to plan and book multiple parts of a trip, including clear sequencing, handoffs, and expectations. • Improve the product's key outcomes, including successful booking completion, conversion, time to book, user effort, CSAT, trust, and repeat usage. • Lead experimentation across conversational flows, recommendations, search and booking surfaces, using clear hypotheses and measurable success criteria. • Partner with AI, data, and engineering teams to improve intent understanding, ranking, recommendations, personalization, tool orchestration, and the use of conversational and UI-based experiences. • Establish a strong product feedback loop, such as organizing and prioritizing bug bash findings, investigate production conversations, connect issues to root causes, and ensure fixes are validated before and after release. • Define meaningful goals and evaluation criteria for AI behavior, including task completion, factual accuracy, policy compliance, correct tool and UI usage, response quality, latency, and safe recovery from failures. • Align stakeholders across product, engineering, design, ML, data, travel operations, support, and adjacent Navan teams. • Communicate product decisions, tradeoffs, status, risks, and learnings clearly to leadership and the broader organization. • Represent the customer in every discussion and ensure that the AI is transparent about limitations, unsupported requests, changing prices, availability, and booking status. What We're Looking For • 4+ years of experience in product management, with a track record of owning and shipping customer-facing products. • Experience owning a complex product or product area end to end, including strategy, discovery, prioritization, execution, launch, and measurement. • Strong product judgment and the ability to balance customer value, business impact, technical complexity, reliability, and speed. • Experience improving measurable product outcomes such as conversion, task completion, engagement, retention, or customer satisfaction. • Excellent written and verbal communication skills, with the ability to create alignment with leadership, collaborate across diverse stakeholders, and communicate effectively with customers. • A data-informed approach to product decisions, combined with strong qualitative judgment and customer empathy. • Curiosity about AI products and the ability to reason about probabilistic systems, failure modes, evaluation, guardrails, and human trust. • A practical, ownership-oriented mindset: you find the problem, clarify it, bring the right people together, and drive it through resolution. Nice to have • Experience building AI assistants, conversational products, recommendation systems, search experiences, or agentic workflows. • Experience defining or using LLM evaluations, quality rubrics, production monitoring, or experimentation frameworks. How you will make an impact In your first months, you will build a deep understanding of the Book with AI experience and its users, establish a clear view of the highest-impact opportunities across Hotels, Cars, and Rail, and create a focused execution rhythm with the team. You will bring structure to the product backlog, quality loop, and roadmap so the team can consistently focus on the problems that matter most. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Senior Full Stack Engineer, Frontend-Oriented

At Navan Edge, we build products that make business travel easier for everyone who takes it. We’re looking for a frontend-oriented Full Stack Engineer to shape and build core product experiences used by travelers every day. You’ll focus primarily on our web frontend while contributing across the stack, working closely with engineers, product managers, and designers to turn customer needs into reliable, intuitive features. What You’ll Do: ● Design, build, and evolve customer-facing web experiences using React and TypeScript. ● Work across the stack, contributing to backend services and APIs built with Node.js and TypeScript. ● Own product features from discovery and technical design through implementation, launch, and iteration. ● Build accessible, responsive, and high-quality interfaces that perform reliably at scale. ● Collaborate with product, design, and engineering teams to understand customer needs and deliver cross-domain features. ● Contribute to AI-powered features, including LLM integrations and conversational experiences. ● Help shape frontend architecture, engineering practices, and the long-term direction of the product. ● Write maintainable code and support production quality through testing, monitoring, and documentation. What We’re Looking For: ● 5+ years of experience building and shipping software products. ● Strong frontend experience with React and TypeScript, and a track record of delivering polished web applications. ● Experience building backend services and APIs with Node.js and TypeScript. ● Understanding of web fundamentals, API design, and relational databases. ● Experience with scalable applications and distributed systems; familiarity with microservices and event-driven architectures is a plus. ● Strong product sense, with an ability to translate customer needs into thoughtful technical and design decisions. ● A strong sense of ownership and experience taking production-quality features from idea to launch. ● Interest in agentic AI systems, LLM integrations, and AI coding tools such as Claude Code or Copilot. ● A collaborative approach, clear communication, and a willingness to learn and use new tools and technologies. ● Experience with AWS is a plus. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Full Stack Developer

Senior Security Engineer

As a Senior Enterprise Security Engineer, you will be a foundational architect of Navan’s security posture, directly safeguarding our corporate infrastructure, sensitive financial data, and global user base. This is a highly hands-on, configuration-driven role that requires working directly with systems that power our security program in a modern, cloud-native environment. Your work will be critical in ensuring Navan becomes globally recognized for secure, unparalleled corporate travel and expense management. What You’ll Do: • Vulnerability Management & Exposure Reduction: Architect, manage, and scale the end-to-end vulnerability management program. Oversee continuous asset discovery, vulnerability scanning, threat exposure assessment, and risk-based prioritization (CVSS, EPSS, threat intelligence). Partner closely with infrastructure, engineering, and IT teams to establish SLAs, streamline patch management workflows, and validate effective remediation. • Security Incident Response & On-Call Rotation: Participate in the security engineering on-call rotation. Serve as a responder responsible for identifying, scoping, triaging, managing, and mitigating security incidents, followed by leading thorough post-incident reviews and root-cause analyses. • Detection & Automation Optimization: Help improve and maintain our existing detection pipeline by providing feedback on alert quality, reviewing current monitoring coverage, and performing direct tuning in SIEM platforms to reduce noise and increase signal fidelity. Evaluate existing SOAR playbooks and workflows, offering recommendations and performing targeted updates to streamline response processes. • Identity Governance & Access Control: Define and enforce strong IAM principles (e.g., Least Privilege, Zero Trust) and contribute to identity governance platforms to ensure secure authentication, authorization, and access across the enterprise. • Email Security: Strengthen email security by managing alerts and workflows in platforms like Material Security, reviewing post-delivery threats, and improving automated response to suspicious messages and mailbox activity. • Cross-Functional Security Leadership: Proactively partner with Engineering, IT, and Compliance teams to embed security best practices early in the lifecycle, align vulnerability SLAs with business risk objectives, and foster a culture of shared security ownership. • Process Improvement & Metrics: Establish and track key performance indicators (KPIs) for vulnerability management and incident response. Participate actively in incident and posture reviews, drive continuous operational improvements, and work with external vendors to align system capabilities and security expectations. What We’re Looking For: • 5+ years of hands-on experience in information or enterprise security, preferably within a high-growth tech environment utilizing cloud infrastructure. • Proven track record of designing, implementing, or maturing an enterprise-wide Vulnerability Management program, including expertise with modern exposure management and scanning platforms (e.g., Tenable, Qualys, Rapid7, Wiz) and vulnerability remediation workflows. • Demonstrated experience in incident response, with a willingness to participate in an on-call rotation to identify, analyze, contain, and resolve active security incidents. • Deep, up-to-date knowledge of modern attacker tactics, techniques, and procedures (TTPs), common exploit vectors, and risk prioritization frameworks (CVSS, EPSS, KEV). You excel at translating technical vulnerabilities and risks into clear business context for a range of stakeholders. • Ability to review SIEM and EDR/XDR platform outputs, provide constructive feedback on detection efficacy, and execute direct rule tuning and configuration refinements to optimize signal-to-noise ratio. • Comfort interfacing with SOAR workflows (e.g., Phantom, Demisto, XSOAR) to suggest optimizations and perform light playbook updates that improve overall team efficiency. • Demonstrated expertise in Zero Trust principles, modern identity governance, and access management solutions (e.g., Okta, Ping, or Azure AD). • Experience managing email security using platforms like Material Security, including reviewing post-delivery detections and analyzing mailbox activity. • Highly collaborative with strong ownership skills, adept at negotiating SLA timelines with engineering/IT partners and contributing actively within a small, focused security team. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

We are seeking a AI Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies. You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation. What You’ll Do • Design and develop scalable, high-performance backend services and APIs. • Implement integrations with AI platforms and services. • Work with AI specialists to translate AI capabilities into production-ready features. • Ensure high reliability, performance, and security of AI-powered systems. • Collaborate with product and engineering teams to gather requirements and deliver solutions. What We’re Looking for: • 5+ years of professional backend engineering experience. • Strong proficiency in at least one backend programming language (Java etc). • Experience building and maintaining production-grade APIs and microservices. • Solid understanding of distributed systems, data structures, and algorithms. • Experience with SQL and NoSQL databases. • Track record of delivering consumer-facing products at scale • Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.) • Familiarity with LLMs, RAG, or conversational AI. • Knowledge of vector databases and embedding technologies. • Experience with cloud platforms (AWS, GCP, Azure). • Understanding of AI/ML concepts and implementation patterns. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

AI Engineer

Conversation Designer, Agent Voice & Personality

Navan is on a mission to make travel easy for every frequent traveler, and in the process to transform travel and expense management as the world knows it. With over 50 global offices and unicorn status since 2019, Navan has rapidly scaled while disrupting the corporate travel industry. We’re expanding our Tel Aviv office and looking for a Conversation Designer to join Navan Edge, our new AI-first product built for frequent business travelers. You’ll decide who our agent is: how it sounds, how it thinks out loud, how it handles a delayed flight at 2 a.m., and how it earns a traveler’s trust one message at a time. If you’re the person who can spot an off-tone sentence instantly, explain exactly why it’s wrong, and rewrite it so it sounds human, this role is for you. What You’ll Do: • Define our AI agent’s tone of voice, character and personality, and turn them into clear, usable guidelines for the agent and the team. • Test and iterate on the agent’s voice. Build evaluation criteria and test sets, review real conversations, and refine based on what you find. • Write conversational copy across the product, including agent responses, onboarding, prompts and suggestions, errors and edge cases, notifications, and the in-between moments. • Design how the agent behaves when things go wrong: delays, cancellations, misunderstandings, and handoffs to human support. • Keep voice and tone consistent across chat, voice and visual surfaces, from first message to post-trip follow-up. • Partner with Product, Design, Data, and Marketing. Use qualitative feedback and quantitative data to guide your decisions. • Champion user trust and transparency in how the agent communicates, especially around recommendations, decisions and personalization. • Present your work and its rationale clearly to cross-functional partners and senior stakeholders. • Own your work from concept through launch and post-launch iteration. What We’re Looking For: • 5+ years of experience in conversation design, UX writing, content design, or a closely related field. • Native-level English. You have an ear for rhythm, nuance and register, and you know when a sentence sounds slightly off. • Hands-on experience designing for conversational products: chatbots, AI assistants, voice interfaces, or LLM-powered agents. • A portfolio that shows how you developed a voice or personality, and how that voice shows up in real conversational copy and dialogue. • Experience writing for and with LLMs, including prompting, iterating on model output, and judging quality at scale. Alternatively, a strong curiosity about it and a fast learning curve. • Strong analytical skills, with the ability to turn conversation logs and data into concrete improvements. • Excellent collaboration and communication skills across disciplines, especially with engineering and data science. Bonus Points: • Experience building evaluation frameworks or rubrics for AI output. • A background in creative writing, screenwriting, character writing, or editorial work. • Experience in travel tech, hospitality or logistics, and an understanding of time-sensitive, multi-step journeys. • Experience designing for voice interfaces. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Conversation Designer

Senior Product Manager, Flights

At Navan, “It’s all about the user. All of them.” We’re passionate about creating seamless, personalized travel experiences for business travelers around the globe. We are looking for a Senior Product Manager, Flights for our Navan Edge team in Tel Aviv. Your mission is to build the next generation of flight booking: a high-converting, personalized agentic experience that helps frequent business travelers find and book the right flights with less effort. You won’t just own flight data or funnel metrics; you’ll design the intelligent conversational flight experience behind Navan Edge, where AI understands traveler intent, applies personal preferences, compares options, explains trade-offs, and guides users from search to booking with confidence. What You’ll Do • Own the Flights Product Experience: Lead the full flight journey, from destination intent and search to flight details, fare selection, checkout, confirmation, and post-booking engagement. • Design Agentic Flight Experiences: Build AI-driven workflows that help users search, compare, decide, and book flights through a mix of conversation, recommendations, proactive suggestions, and UI components. • Drive Flight Funnel Conversion: Identify friction points across the flight funnel and define the roadmap to improve search-to-booking, availability-to-checkout, checkout completion, and repeat booking rates. • Improve Search, Ranking, and Personalization: Partner with AI, data, and engineering teams to improve flight ranking, filters, recommendations, availability logic, and “why this flight” explanations based on traveler intent, loyalty, price, schedule, airline, fare rules, and past preferences. • Lead Experimentation: Design and run A/B tests across search results, flight details, fare selection, checkout, rewards messaging, onboarding flows, and AI-assisted booking experiences. • Connect Flights to the Full Trip Experience: Work across hotels, restaurants, itinerary, calendar, Gmail sync, and proactive travel use cases to make flights feel like part of one seamless business travel journey. What We’re Looking For • 5+ Years of PM Experience: Proven experience building consumer, marketplace, travel, ecommerce, AI, or SaaS products. • Flights Product Experience: Experience building flight, airline, travel marketplace, OTA, or business travel products is strongly preferred. • Agentic Product Thinking: You understand how AI can move beyond static recommendations into guided decision-making, autonomous workflows, proactive suggestions, and personalized task completion. • Strong Funnel Conversion Skills: Deep understanding of conversion optimization, user drop-off analysis, checkout flows, experimentation, and growth metrics. • Data-Driven Product Thinking: You are comfortable with funnel dashboards, cohort analysis, A/B testing, behavioral analytics, and turning insights into roadmap decisions. • Strong Product Taste: You know what a great flight-shopping experience should feel like: fast, clear, trustworthy, personalized, and easy to complete. • Commercial Instincts: You understand how flight product decisions affect conversion, margin, supplier performance, loyalty, and repeat usage. • Cross-Functional Leadership: You can align design, engineering, AI, data, marketing, operations, and business stakeholders around a clear product strategy. • The Traveler’s Heart: You understand the messy reality of business travel and want to make flight booking feel effortless, reliable, and rewarding. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Senior Site Reliability / DevOps Engineer– AI Products

Site Reliability Engineer

At Navan, "It's all about the user. All of them." We're passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they're going. Navan is building cutting-edge solutions at the intersection of travel, expense, payments, and AI. As a leader in the AI for Travel domain, we are using intelligent, practical AI experiences to make business travel simpler, faster, and more reliable for travelers, travel managers, finance teams, and support teams. We are seeking a Senior Site Reliability / DevOps Engineer to ensure the scalability, performance, and reliability of our user-facing generative AI features. In this role, you will bridge the gap between traditional infrastructure and cutting-edge machine learning. You will build and maintain the high-throughput, low-latency systems required to serve AI models directly to millions of users. This position is based out of our new Tel Aviv office. What You'll Do: • Infrastructure Ownership: Design, build, and scale the infrastructure hosting our user-facing AI applications and inference engines. • Performance Optimization: Optimize system latency, specifically targeting Time-to-First-Token (TTFT) and total round-trip time for user requests. • GPU & Resource Orchestration: Manage and scale GPU clusters within Kubernetes to maximize utilization and minimize operational costs. • Resiliency & Fallbacks: Build robust fallback systems, circuit breakers, and rate-limiting infrastructure to handle upstream LLM API failures and traffic spikes. • Monitoring & Observability: Implement deep observability for AI workloads, tracking custom metrics like token usage, model drift, and GPU memory saturation. What We're Looking For: • SRE Fundamentals: 4+ years of experience in SRE, DevOps, or Production Engineering roles supporting high-traffic, user-facing applications. • LLMOps / AI Infrastructure Expertise: Experience working with AI workloads (such as serving models using vLLM, Server TGI or working with cloud providers like Bedrock, OpenAI, etc.). • Container Orchestration: Strong expertise in Kubernetes (EKS, GKE, or AKS) and infrastructure-as-code (Terraform). • AI/ML Ecosystem: Hands-on experience with inference servers (e.g., vLLM, TGI) and vector databases (e.g., Pinecone, Milvus, Qdrant). • Programming: Proficiency in Python and Go for automation, tooling, and backend optimization. • Cloud Architecture: Deep experience managing cloud compute resources, specifically specialized GPU instances • Models AI and Code: Ability to build automation processes that not only update code versions, but also support testing and safe deployment of new models (Shadow Deployments, Canary releases for models) Product thinking and user orientation (User-Facing) • Advanced Observability: Mastery of tools like OpenTelemetry, Prometheus, Datadog or Grafana, with the ability to trace agent-based systems and complex model calls. • Cost & Capacity Optimization: Ability to manage the high costs of GPU/Inference in a productive architecture without compromising availability or performance. • Empathy for the end-user experience: Understanding that every millisecond of latency or error in the stream directly impacts customer retention. • Preferred Qualifications Experience building semantic caching layers to reduce LLM API costs. Active contributor to open-source LLMOps or MLOps projects. (edited) Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Staff Full Stack Engineer

We’re looking for a hands-on Staff Full Stack Engineer to join our growing engineering team in Tel Aviv. You will design and build AI-powered products and workflow automation that help our teams deliver better customer experiences. As the team’s technical lead, you will shape architecture, guide engineering decisions, and lead complex initiatives from discovery through production. You’ll remain deeply involved in implementation while mentoring engineers and partnering with Product, Design, and Operations to turn ambiguous business needs into reliable, scalable solutions. What You’ll Do • Own the team’s technical direction, lead architecture and design reviews, and guide implementation across frontend, backend, and integrations. • Design, build, and deliver impactful product capabilities, from identifying user needs through deployment and ongoing improvement. • Build reliable backend services and event-driven workflows, including asynchronous processing, retries, idempotency, and failure recovery. • Develop AI-powered experiences with grounding, evaluation, human review, and clear failure handling. • Establish engineering practices for testing, observability, security, privacy, AI safety, cost management, and operational readiness. • Own production quality and supportability, using usage data, customer feedback, and production insights to improve reliability, usefulness, and adoption. • Mentor engineers, grow their technical ownership, and raise the team’s engineering standards. • Partner with Product, Design, Operations, SRE, Security, Data Science, Legal, and engineering teams across Travel and Expense to understand problems, resolve ambiguity, and define clear requirements. • Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders, coordinating cross-team initiatives and dependencies. What We’re Looking For • Strong programming skills and computer science fundamentals, with 6+ years of experience building production SaaS products. • Strong production experience with Java and Spring Boot, including designing, building, and operating backend services. • Proven experience designing and operating event-driven systems, including reliable message delivery, asynchronous processing, retries, idempotency, and failure recovery. • Full-stack development experience with React or Angular, and proficiency in JavaScript or TypeScript. • Strong understanding of distributed systems, microservices, API design, relational databases, transactions, and ORM technologies such as Hibernate. • Demonstrated technical leadership: setting architectural direction, leading complex initiatives, making sound trade-offs, and helping other engineers deliver effectively. • Experience delivering LLM-powered capabilities to production, including evaluation, monitoring, and quality improvement. • A strong sense of ownership, demonstrated through maintainable production code, meaningful testing, monitoring, and documentation. • Excellent communication skills and the ability to work with stakeholders and domain experts to translate business problems into practical technical solutions. • Sound judgment when balancing delivery speed, reliability, security, and long-term maintainability. • Curiosity, a practical approach to problem-solving, and a willingness to learn and adopt new tools and technologies. Nice to Have • Experience with Node.js and backend frameworks such as NestJS. • Experience with AWS, containerized services, infrastructure as code, and CI/CD. • Experience building internal tools or automating complex operational workflows. • Familiarity with AI evaluation platforms, retrieval systems, and agent tooling. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Full Stack Developer