Jobs in Tel Aviv-Yafo

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

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. As a Senior DevOps Engineer at Noma Security, you’ll play a critical role in scaling and evolving our infrastructure as we grow. You’ll work alongside experienced engineers to drive automation, optimize cloud operations, and ensure our systems are secure, resilient, and high-performing. This role is perfect for a hands-on engineer who thrives in fast-paced environments and wants to shape infrastructure practices at a product-focused security startup. 🛠️ What You’ll Do • Own and Evolve Infrastructure: Design, deploy, and operate infrastructure on AWS using Kubernetes to orchestrate containerized services. • Build Tools and Automate Everything: Streamline internal workflows with smart tooling, configuration management, and monitoring systems. • Lead CI/CD Improvements: Define and refine deployment pipelines to support rapid, reliable releases and cross-team agility. • Strengthen Edge Security: Manage WAFs, gateways, and load balancers to balance strong protection with great user experience. • Drive Reliability: Lead incident detection, troubleshooting, and automated recovery—improving uptime and system robustness continuously. ✅ What You Bring • 6+ years in DevOps or infrastructure engineering roles. • Deep experience with Kubernetes, Helm, containerization, and cloud. • Strong background in AWS (bonus: experience with GCP or Azure). • Proficiency in CI/CD platforms (GitHub Actions, GitLab, Jenkins, etc.). • Solid understanding of networking, distributed systems, and both SQL and NoSQL databases. • Linux power user with strong scripting skills (e.g., Bash, Python). • Hands-on with infrastructure-as-code tools like Terraform. • Great communicator with a security mindset and a bias for automation. 💙 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

Description Security Researcher Noma Security is redefining how organizations Safely adopt AI into their organization . As a key member of our research team, you’ll help us stay ahead of rapidly evolving threats by uncovering vulnerabilities, analyzing adversarial techniques, and producing groundbreaking insights that directly influence our product, marketing, and customer strategy. You’ll work alongside world-class engineers and security experts to conduct deep technical research, simulate real-world attacks, and create impactful proof-of-concepts (PoCs) that showcase how to protect AI-driven systems. This role is ideal for a hands-on security researcher who thrives on curiosity, creativity, and rigor, someone who wants to shape the future of AI security in a fast-moving product startup. What You’ll Do: • Drive AI Security Research: Investigate vulnerabilities in AI models, agentic platforms, and infrastructure- covering risks like prompt injection, adversarial manipulation, and model abuse. • Build Proof-of-Concepts: Develop technical PoCs that demonstrate real-world security threats and defenses, supporting both product validation and thought leadership. • Research new Prompt injection techniques: Implement novel techniques of adversarial attacks on AI systems in our automated red team module to evaluate resilience and inform customer-focused security offerings. • Track Competitors & Trends: Research the broader ecosystem of AI and cybersecurity to identify competitor capabilities, market shifts, and innovation opportunities. • Collaborate Across Teams: Partner with engineering and product to translate research into practical protections, product features, and marketing content. Requirements for Success: • 5+ years in security research or offensive engineering, with a focus on high-value targets • Strong background in application and AI security (prompt injection, adversarial ML, agent security). • Experience in red teaming or offensive security, including AI/ML pipelines, APIs, and infrastructure. • Proven ability to design and communicate PoCs for both technical and non-technical audiences. • Familiarity with bug bounty programs or military-grade research is a strong plus. • Curious, detail-oriented mindset with the ability to balance multiple research initiatives. • Experience with research for marketing, including blogs, thought leadership, conferneces, published researches- advantage. 💙 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

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 Data Scientist 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. In this role, you will design, build, and productionize advanced models that help organizations secure AI systems across data, models, and runtime usage. You’ll work closely with Product, Engineering, and Security teams to turn complex, real-world security problems into scalable, high-impact AI solutions. This is a high-impact, hands-on role with true ownership, where your work directly shapes the intelligence powering a category-defining AI Security platform. 🛠️ What You’ll Do: • Own End-to-End Model Development (Research → Production) • Take full ownership of the model lifecycle: problem definition, research, prototyping, training, evaluation, deployment, and ongoing optimization. • Design and build scalable ML / AI solutions to detect, analyze, and mitigate AI-related security risks. • Ensure models are robust, explainable, and production-ready in real-world enterprise environments. • Partner Deeply with Product & Engineering • Collaborate closely with Product Managers to translate customer pain points and security requirements into clear modeling objectives. • Work hands-on with engineering to integrate models into production systems and data pipelines. • Balance research depth with pragmatic execution and business impact. • Build AI Security Intelligence • Develop capabilities across areas such as AI behavior analysis, anomaly detection, model governance, data risk detection, and usage observability. • Work with structured and unstructured data, including logs, prompts, model outputs, and metadata. • Continuously iterate on models based on usage patterns, feedback, and emerging threat vectors. • Lead Research POCs & Innovation • Stay at the forefront of LLMs, applied ML, and AI security techniques and bring new ideas into the product. ✅ What You Bring: • 5+ years of experience in Data Science or Applied ML roles. • 3+ years of backend development experience, working with production systems. • Strong hands-on experience with language models / LLMs and modern ML techniques. • Bachelor’s degree in Computer Science (or equivalent practical experience). • Proven experience owning end-to-end research POCs, from ideation to real-world impact. • Strong understanding of product and business value, with a bias toward lean, effective solutions. • Deep understanding of language models 🎯 Nice to Haves • Experience in AI security, application security, or threat detection. • Background in LLM workflows, RAG pipelines, prompt analysis, or multi-model systems. • Experience building internal platforms or developer-facing ML tooling. • Previous experience in leadership roles such as Tech Lead or Team Lead. • Startup experience, especially in early or growth-stage companies. 💙 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 About The Company Noma is building the industry's first application security platform built to secure the Data & AI Lifecycle—from development to production and from classic data pipelines and ML to GenAI. Our mission is to create a common language between data science and application security teams, helping them secure AI-powered apps without slowing down AI innovation. In just a year, we've helped our customers, including Fortune 500 companies, secure and protect their entire Data & AI Lifecycle with our holistic platform.

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 Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions. This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments. 🛠️ What You’ll Do: Own Customer Solution Design • Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements. • Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem). • Translate security and governance needs into scalable technical implementations. Be the Technical Bridge • Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements. • Partner with Product and R&D to communicate field feedback and influence roadmap priorities. • Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization. Drive AI Security Implementations • Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments. • Define best practices for secure AI adoption, governance workflows, and observability frameworks. • Guide customers through architecture decisions, trade-offs, and scalability considerations. Lead Technical Authority • Act as a trusted advisor to CISOs, security teams, and AI leaders. • Support complex technical escalations and architectural challenges. • Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks. ✅ What You Bring: • Hands-on technical background (architecture, engineering) • 5+ years of experience in cybersecurity (Application Security, Cloud Security, AI Security, or related fields) — must. • Strong understanding of modern cloud environments (AWS / GCP / Azure) and enterprise architectures. • Experience designing or implementing complex technical solutions in enterprise environments. • Excellent communication skills and ability to translate technical depth into business value. • Customer-facing experience - pre-sale, post-sale, or strategic technical advisory roles. • Bachelor’s degree in Computer Science or equivalent practical experience. 🎯 Nice to Haves • Experience working with AI / LLM systems, model pipelines, or GenAI applications. • Background as a Product Manager in cybersecurity looking to transition into a more technical, architecture-focused role. • Experience in early-stage startups or high-growth environments. • Familiarity with governance frameworks, compliance requirements, and enterprise security standards. 💙 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

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

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 Product Manager 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 define and drive the roadmap that helps organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will translate customer needs into actionable requirements, guide cross-functional execution, and ensure customers realize business value quickly and consistently. This is a high-visibility, high-impact role 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: • Drive Product Strategy & Roadmap • Define and own the product vision, roadmap, and priorities for core AI security workflows. • Translate market insights, customer feedback, and company goals into clear product direction. • Lead End-to-End Product Execution • Write crisp PRDs, use cases, and UX flows that bring clarity to complex technical problems. • Partner with engineering and design to ship features rapidly and iteratively. • Partner with Customers • Work closely with enterprise customers to understand risks, workflows, and success criteria. • Lead evaluations, POCs, and adoption programs to ensure customer value realization. • Enable AI Security Outcomes • Drive the development of capabilities across data protection, AI governance, observability, and secure AI operations. • Align product decisions with emerging standards, compliance requirements, and threat models. • Collaborate with GTM teams on packaging, messaging, and enablement. • Communicate roadmap, timelines, and impact to internal and external stakeholders. ✅ What you bring: • 7+ years of Product Management experience, ideally in cybersecurity, AI, or enterprise platforms. • Technical background in software engineering, data engineering, or another highly technical role. • Demonstrated ability to lead complex products from concept to production. • Strong understanding of security challenges, compliance requirements, or data governance. • Proven ability to work with enterprise customers and manage evaluations/POCs. • Excellent communication skills visual, verbal, and written with the ability to simplify complex concepts. • Strong problem-solving skills and the ability to get things done in fast-paced environments. 🎯 Nice to Haves • Experience in early-stage, product-led startups. • Background in ML/AI systems, AI observability, or model governance. • Experience with data-driven product decision-making and usage analytics. • Understanding of security implications in modern AI development lifecycles. 💙 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

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. As Noma's Founding Data Engineer, you will be the first dedicated Data Engineer at the company, with the opportunity to build our data engineering function from the ground up. You'll own the architecture and foundations of Noma's internal data platform - the central warehouse, pipelines, and models every team relies on to understand how our product is performing, and provide tools for day to day operations. You'll define how data from across the company is collected, modeled, transformed, and governed, and establish the standards and best practices that will scale with Noma as we grow. Working closely with Engineering, Data Science, Delivery, Product, and Analytics teams, you'll turn data into reliable, structured assets that power product and business decisions. 🛠️ What You’ll Do • Build Noma’s Data Engineering Function: Be the first dedicated Data Engineer at Noma and will be required to be opinionated about the warehouse architecture, tooling, standards, and best practices for how we work with data across the company. • Develop Data Pipelines: Design, build, and maintain data pipelines that transform company data into structured, queryable assets • Enable Data-Driven Decisions: Partner with Engineering, Data Science, Product and Analytics teams to deliver trusted data foundations and actionable insights. • Create BI Dashboards: Build and maintain dashboards and reporting layers that support product, and operational decision-making • Ensure Data Quality and Accessibility: Implement best practices for data modeling, governance, monitoring, and reliability ✅ What You Bring • 5+ years of experience in Data Engineering roles • Proven experience designing and building data infrastructure from the ground up, with the ability to independently drive architecture and technology decisions. • 3+ years of experience working with modern data warehouse technologies such as Snowflake or Databricks • Strong SQL skills and experience working with large-scale datasets • Experience creating data models and BI dashboards serving business, product, or analytics teams • Strong understanding of data architecture, performance, and scalability considerations • Ability to work cross-functionally with technical and non-technical stakeholders • Strong ownership mindset and a pragmatic approach to problem solving 🎯 Nice to Haves • Experience working closely with Data Science teams • Background in cybersecurity, infrastructure, deep tech, or AdTech environments • Experience as an early or first Data Engineer at a startup, or building a data platform from an early stage. • Familiarity with modern data orchestration and transformation tools 💙 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

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 an AI Builder to serve as the technical backbone of Noma’s internal AI function. You’ll build the LLM-powered agents, automation pipelines, integrations, and infrastructure that teams across the company rely on every day. This is a rare opportunity to build a new function from the ground up within a company where the work can have an immediate and meaningful impact. You’ll create systems such as tools that help Sales track competitive deals in real time, pipelines that automatically turn customer calls into Salesforce updates, and agents that identify competitor activity and deliver actionable insights directly to Slack. This is a highly hands-on role with true end-to-end ownership-from translating business needs into focused technical solutions to deploying, monitoring, and continuously improving production systems. 🛠️ What You’ll Do: Build AI-Powered Agents and Automations • Design and build LLM-powered agents, automation pipelines, and backend services used across the organization. • Develop complex integrations that bring together data from multiple internal and external systems. • Build custom MCP servers and other infrastructure required to support scalable internal AI workflows. • Turn fuzzy business needs into practical, focused, and maintainable technical solutions. Own the Internal AI Infrastructure • Harden and maintain Noma’s existing MCP Gateway ecosystem. • Improve reliability, error handling, authentication, secrets management, and versioning. • Implement secure, vault-based credential management and strong security practices across production automations. • Build infrastructure that enables agents and workflows to operate reliably at scale. Drive Production Readiness and Reliability • Own the deployment, monitoring, maintenance, and reliability of agents and automations in production. • Build evaluation frameworks, test sets, and monitoring processes to measure accuracy, precision, recall, hallucination rates, and overall agent performance. • Identify regressions and continuously improve the quality and stability of production workflows. • Troubleshoot failures across integrations, models, APIs, and automation pipelines. Drive Adoption and Business Impact • Partner closely with the AI Product Manager and teams across the organization to understand their workflows and challenges. • Ensure the solutions we build are adopted and deliver measurable value—not just technically functional. • Gather feedback from end users, iterate quickly, and continuously improve the ROI of internal AI systems. • Help teams across Noma incorporate AI effectively into the way they work. ✅ What You Bring: • 3–5 years of software engineering or hands-on development experience. • Strong Python skills and experience writing clean, maintainable, production-grade code. • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar. • Experience building integrations using REST APIs, webhooks, and asynchronous pipelines. • Experience with automation platforms such as n8n, Make, Zapier, or similar. • Hands-on experience with MCP and building or integrating MCP servers. • Experience evaluating LLM or agent performance in production, including building evaluation harnesses or test sets to identify regressions. • Understanding of secrets management, credential handling, and security best practices for production automations. • Ability to work independently and own projects end-to-end. • Strong problem-solving skills and the ability to turn ambiguous requirements into practical technical solutions. 🎯 Who You Are: • Genuinely excited about AI and actively following developments in the space. • Adaptable by default-you learn quickly, pivot when needed, and don’t become overly attached to a specific tool or approach. • You ship quickly, gather feedback, and iterate. • You care about the end user and business impact, not only the technology. • Comfortable working in a fast-moving startup environment without an established playbook. • Highly accountable, hands-on, and motivated by building something from the ground up. 💡 Nice to Haves: • Background in cybersecurity or enterprise B2B SaaS. • Experience with agent frameworks such as LangChain, LangGraph, CrewAI, or equivalent. • Experience building internal developer platforms or company-wide automation infrastructure. • Familiarity with Salesforce, Slack, and other common enterprise systems. • Experience driving internal adoption of AI tools and measuring their business impact. 💙 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. 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.

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 Frontend Engineer to shape how our product empowers security teams - how it feels, performs, and drives action. You’ll own key parts of our frontend stack, define how we build across teams, and turn complex security data into clear business insights. 🛠️ What You’ll Do • Champion Development Best Practices: Influence architectural and technical standards across the frontend stack. • Lead Projects: Own and drive the development of key UI components and cross-functional features, working across teams and domains. • Innovate: Bring new ideas to the table -whether it’s in UX, UI, architecture, usage insights, and more. • Collaborate Cross-Functionally: Partner with Product, Design, Backend, and Data teams to implement experiences that are beautiful, fast, and secure. • Optimize for Performance & Usability: Build responsive, accessible, and production-ready interfaces that scale. ✅ What You Bring • 7+ years of experience building modern web applications with a strong focus on frontend engineering. • Expertise in React and the modern frontend ecosystem. • Ability to lead end-to-end projects with strong ownership from planning through production. • Bonus: Experience with GraphQL APIs and SSR frameworks. 🎯 Nice to Haves • Interest or background in data analytics and data-driven development, with a passion for using data to better serve our customers • Experience working in fast-paced, product-led early-stage startup environments. • Design sensitivity and attention to micro-interactions and polish. 💙 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

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 We are looking for a Production Team Lead to run our electro-mechanical assembly line. You will manage a team of 5–10 employees, plan and oversee in-house and outsourced production, and work closely with our Engineering, Procurement and Quality teams. The role reports to the VP Supply Chain. What you'll do: • Plan and manage day-to-day production and assembly, including inventory and schedules • Meet throughout, quality and on-time delivery targets • Lead process improvement and continuous improvement on the production line • Maintain production documentation and ensure workplace safety • Maintain and calibrate equipment, certify employees and work to ESD and IPC standards • Plan capacity, run incoming inspection of components and ship systems to the field Requirements • Practical Engineer (Handasai) in Industrial Engineering and Management, Mechanical Engineering, Electronics or Electrical Engineering • 2+ years of experience in electro-mechanical production or assembly • 1+ years of team management experience • Ability to read mechanical drawings and electrical schematics • Experience with ERP systems and advanced Excel skills • English proficiency Nice to have: • Experience with NetSuite • Experience managing subcontractors and working in a hardware startup

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

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

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 • Utility coordination for transportation projects such as roads, railways, including light rail systems, and more. • Working with authorities and various stakeholders, managing processes, and advancing permits and traffic arrangements with municipal and infrastructure bodies. • Coordination with planners, authorities, and utility owners. • Centralizing, monitoring, and tracking projects managed within the department. • Working closely with the Project Manager and providing regular status updates. • Ability to analyze conflicts and propose engineering solutions. • Participating in and leading coordination meetings with external stakeholders. Requirements • Proven experience in utility coordination • Experience and familiarity with working with authorities to advance permits and approvals from utility companies and municipalities. • Familiarity with national infrastructure systems and municipal utility coordination systems (e.g., ECS – Tel Aviv). • Understanding of water, sewage, drainage, electricity, and telecommunications infrastructure. • Ability to read and understand traffic plans (signage, markings, etc.). • Knowledge of execution stages and coordination between disciplines. • Proficiency in AutoCAD, including designing, reading, and interpreting plans. • Proficiency in Office applications. • Ability to manage and advance multiple projects in parallel. • Ability to work under tight deadlines. • High level of organization, accuracy, and ability to work in a multi-stakeholder environment. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

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.

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.

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.

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.