Jobs in Tel Aviv-Yafo

BlackEdge Labs is the technology and innovation arm of BlackEdge Group. The team builds the core systems, data platforms and AI solutions that power the Group's mortgage, payments and corporate financing businesses. We're looking for a Data Product Manager to lead the product side of our data platform, reporting directly to the VP Technologies. The role involves translating business and analytical needs into clear product requirements, data models, and prioritized initiatives for our data teams. You will ensure that every data product begins with a real business question and results in a reliable, accessible, and useful solution. This is a central role connecting business stakeholders with engineering teams and combining product thinking, technical understanding, and hands-on work with data. What you'll be doing Gathering requirements from business stakeholders and translating them into clear Product Requirement Documents for dashboards, reports, and data products. Designing and documenting data models and ERDs to guide the development of the company's data warehouse. Managing and prioritizing the data backlog while balancing business needs, new data sources, dashboard requests, and technical debt. Working closely with Data Engineers on data models, warehouse architecture, and data processes within Microsoft Fabric. Taking end-to-end ownership of reporting and dashboard requirements—from defining the business question to delivering the final output in Power BI or similar tools. Reviewing and validating data products to ensure that they are accurate and address the business needs for which they were created. Creating and maintaining data documentation, including business definitions, source mapping, and a shared data glossary. What you'll need Approximately four years of experience in Data Product, BI Product, Analytics Product, or a similar role combining product and data responsibilities. Experience writing product requirements and technical specifications for engineering teams. A practical understanding of data-modeling concepts, including dimensional modeling, star schemas, and normalization, with the ability to design or review ERDs. Experience working directly with Data Engineers on data models, data warehouses, or data products. Practical SQL skills and the ability to explore data and validate results independently. Experience defining and reviewing reports and dashboards using Power BI or similar tools. The ability to translate complex business needs into clear and technically sound requirements. Strong prioritization and stakeholder-management skills, with the ability to take ownership of deliverables from definition through completion. Nice to have Previous hands-on experience as a Software Developer, Data Engineer, or Data Analyst. Experience with Microsoft Fabric or modern cloud data platforms such as Azure Synapse, Databricks, Snowflake, or BigQuery. A bachelor's degree in computer science, Information Systems, Industrial Engineering and Management, or another relevant field. Experience working in a financial, entrepreneurial, dynamic, and growing environment. Ready to lead data products that connect technology, information, and business decision-making within a growing publicly traded financial group? We'd love to meet you. This is a full-time, office-based position at our Tel Aviv office. The position is open to candidates of all genders.

We're hiring a software engineer to own Anyray Connect. It runs on every developer's laptop at our customers and puts their AI coding tools on our gateway. One product, one owner. The role Anyray cuts the cost of every LLM request a company makes. The gateway is the server side. Connect is the client side, and it's the part developers actually see. Connect is a Node CLI and a signed tray app for macOS, Windows and Linux. It points a developer's AI coding tools at our gateway by writing each vendor's own config, signs them in, keeps their credentials fresh, and repairs itself when something drifts. For IT, it ships the artifacts they need to roll it out across a fleet. It's real, it's shipping, and customers are using it. You'd own it. What makes it hard You can't SSH into a developer's laptop. You can't undo their OS update. The apps you write into ship new builds without warning you. Every install is someone's work machine. A bad write doesn't just fail a deploy, it stops someone from working. Connect also does a lot of what malware does. It installs persistence, reads the login Keychain, writes into other apps' config, survives their updates, and heals when something removes it. The difference is that all of it is signed, visible, reversible, and agreed to up front. This is user space rather than kernel, and TypeScript rather than C++. It's still system-level work, and it isn't an IT or helpdesk job. What you'll do Own Connect. The CLI, the tray app, updates, docs, and what ships next. Write into other apps' config without breaking them. Back up what you touch, roll back cleanly, and never leave someone's setup worse than you found it. Keep up with vendors. Config shapes change under us. Check before writing, and fall back to a manual path instead of guessing. Stay clear of antivirus. Persistence and credential helpers are exactly what EDR watches for. Measure what actually trips a scanner instead of assuming. Ship for managed fleets. Profiles, policy, credential helpers, and silent rollout. That's what an admin needs to push this to a few hundred laptops at once. Make it debuggable from far away. Health checks, repair commands, and diagnostics that carry metadata only. Never prompts, never keys. What you need Strong TypeScript, and a few years of shipping code you still owned afterwards. You've shipped client-side software onto machines you couldn't reach: a desktop app, CLI, agent, installer, or IDE extension. You're careful with other people's state: atomic writes, idempotency, and a clean rollback when something fails halfway. You'll pick up the Windows bug, not just the Mac one. You write tests, and you can debug from logs and a screenshot with no shell on the box. You already build with AI coding tools. Nice to have MDM experience with Jamf, Intune, Group Policy, or configuration profiles. You've reverse-engineered a closed app's config to find a safe place to write. You've shipped a signed desktop app, with notarization, Authenticode, Tauri or Electron. You've got software cleared through Defender, SmartScreen, or Gatekeeper. Packaging and self-update experience. Rust. Handy for the tray, but we'll teach you. How to apply Apply here or email [email protected]. Tell us about something you shipped onto machines you didn't control, and what broke.

We're hiring a staff software engineer to build and own the systems that run Anyray's optimizer on real enterprise traffic. This is production-grade work on the hot path of every LLM request. The role Anyray is a self-hosted, pre-model middleware that optimizes the cost and performance of every LLM request. That optimization lives across every layer of a request: input, context, tool output, files, dev commands, and caching. It's a hands-on engineering role. You own real production systems end to end, and you're on the hook for their latency, reliability, and correctness under real customer load. Why this role LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new, and they ship into production rather than a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets. What you'll do Invent and ship optimizations. Design new strategies across every layer of a request: prompt and context compression, tool pruning, file and dev-command trimming, semantic caching, cache-prefix stabilization. Then take them all the way to the hot path. Each one has to cut tokens on real traffic without degrading output. Prove every win. Build the evals and the token/quality instrumentation that separate a genuine saving from a plausible-sounding one. An optimization only ships when the numbers back it. Live in the caching trade-offs. Provider prompt caches only pay off on byte-stable prefixes, and a naive rewrite can cost more than it saves. A lot of the job is knowing exactly when an optimization actually wins: deterministic transforms, per-session decision pins, semantic dedup. Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic, with streaming, retries and backpressure, executing every optimization on the live request path. Keep it fast and deploy anywhere. Defend a tight latency budget on the hot path, and package the whole thing so it installs cleanly into any customer's cloud, whether that's AWS, GCP, Azure, containers or Kubernetes, and upgrades without drama. Own systems end to end. From first commit to code serving live customer traffic, plus the spend-visibility and governance product built on top, with a direct line to the founders. What we're looking for You've built and run backend or infrastructure systems in production, owned them end to end, and care about latency, correctness, and observability. You're comfortable in the request hot path. Concurrency, streaming, tail latency and failure modes are things you reason about by default. You've shipped to cloud environments and can build something that installs cleanly in someone else's. You're strong in TypeScript/Node, which is our stack, or fluent enough in a systems language that picking it up is quick. You already build AI-native. Coding agents and LLM tooling are part of how you ship. You understand, or want to go deep on, LLMs, tokens, and how model APIs actually behave. Nice to have You've built proxies, gateways, or high-throughput streaming and networking systems. Experience with LLM inference, model APIs, or ML infrastructure. You've packaged software for customer self-hosting, with Helm, operators or air-gapped installs. You've been early at a company before and liked it. How to apply If this sounds like you, email [email protected]. Tell us about a system you built and owned end to end, or a nasty production problem you tracked down and fixed.

You'll work straight with the founders and own how Anyray sells. Half the week you're in deals, the other half building the machine behind them. The role Every LLM call carries tokens that don't need to be there, and the provider bills for all of them. Anyray sits between a company's users and the models and takes that waste out as the request goes through. The result is usually up to 60% off the inference bill with no change in output, and every saved token accounted for. It runs inside the customer's own cloud, so nothing leaves their network, works with whatever provider and model they already use, and goes in within minutes. What you'll do Build your own pipeline. That means targeted outbound to engineering and platform leaders, starting in the Israeli ecosystem and moving into the US. Run deals start to finish: demo the product, handle the technical conversation yourself, and carry evaluations through to a signature. Own the GTM engine: the outbound, the deal process, the playbooks, the collateral. Get Anyray in front of the right people, on LinkedIn, at meetups and events, and through customers who'll vouch for us. Grow into leading the whole GTM function. The motion you build is the one you'll run. Who you are You know how to create your own momentum and don't wait to be handed a process. You've sold into the US market and are comfortable running those cycles remotely. You generate your own pipeline. Outbound is just how you work. You're technical enough to sell infrastructure without an SE in the room. You get LLMs, tokens and cloud deployment well enough to hold your own with a VP of Engineering. You want to build the function, not just hit a number, but you still love the close. Bonus points An existing network among engineering and platform leaders in Israeli tech. You've sold devtools, cloud, or AI infrastructure before. Why this role Full ownership of revenue and the motion behind it, a direct line to the founders, and a mandate that grows with everything you close. How to apply If that's you, email [email protected] and tell us about the hardest deal you've had to close.

Conifers is transforming security operations centers (SOCs) with CognitiveSOC™, its AI SOC platform, enabling enterprises and MSSPs to achieve SOC excellence. By leveraging agentic AI, Conifers helps security teams investigate complex, multi-tier incidents with speed, accuracy, and trust. Led by seasoned cybersecurity leaders and backed by SYN Ventures, PICUS Capital, and others, the company brings deep industry knowledge and innovation to an increasingly AI-driven threat landscape. We’re building an AI-native security platform that enables autonomous agents to investigate real-world threats at a massive scale. About The Role : You’ll build real AI systems running in production, where intelligent agents and robust backend architecture work together to investigate security incidents for real customers. If you enjoy turning cutting-edge AI into reliable, scalable production systems, you’ll feel at home here. What You’ll Do : • Design, build, and ship major end-to-end features • Lead development of AI agents operating in production environments • Architect and scale Python-based distributed backend systems • Make key technical decisions that shape the evolution of an AI-first platform • Build systems that combine LLMs, reasoning flows, orchestration, and classic backend engineering • Work closely with Product, Design, Security Researchers, and GTM teams • Bring clarity, ownership, and strong engineering standards to the team What You’ll Bring : • 5+ years of software engineering experience • Strong software engineering background, with the ability to build production-grade systems beyond research, experimentation, or prompt engineering • Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems • Strong backend expertise, including Python, distributed systems, and cloud-native architecture • Experience designing systems that balance AI components with reliable backend infrastructure • Ability to take ambiguous problems and turn them into structured, scalable solutions • Strong ownership mindset and bias for action • Full professional fluency in English Nice to Have : • Experience in the cybersecurity domain • Experience building security or AI-driven products • Experience working in a fast-paced startup environment Our Commitment : We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-AM1 #LI-Hybrid

Description What you’ll own You’ll own the AI at the core of Fig's product, which keeps SOC detection and response in sync with constant change. You’ll decide what it does, how security teams work with it, how we know it’s getting better, and how we grow it. What you'll be doing • Define the strategy and roadmap for Fig's agentic capabilities • Work with engineering to execute on it while constantly evolving it with latest tech developments. • Implement agentic product methodologies for building, evaluating and shipping AI based products • Work with SecOps teams to evolve the roadmap and build capabilities that solve their hardest problems • Identify product evolution opportunities from market and technology signals, and strategize product development accordingly • Enable sales and marketing teams to meet the market pain use cases in XL scale Requirements You’ll fit if • You have 5+ years in product management, including at least 1 year as a PM on an AI product • Big bonus for background in building in the security operations space • You’ve shipped LLM-based features to real users, and you know how work and where they fail • You've worked with big enterprise clients, understand how they operate, what drives business decisions and how it translates to great products • You're a persons' person, hungry for winning and cut-to-the-chase. • You have strong English communication skills.

Description What you'll own Fig's product is built around an AI agent that security analysts and detection engineers work with directly. It investigates coverage questions against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That agent is already in production with enterprise design partners. Now we need to make it dependable and scalable enough for GA. You will own that evolution: the agent architecture, its evaluation and quality system, and the production engineering around it. This is a hands-on senior IC role with real architectural authority - you set the technical direction and you write the code. The agent operates inside customer security environments, where a wrong action can become a customer incident. Correctness, isolation, observability, and evaluation are not polish. They are the product. What you'll be doing • Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on. • Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding. • Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping. • Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments. • Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently. • Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds. • Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on. Requirements What you'll need • Senior engineering depth: You have 6+ years of experience building and operating production software, with strong backend and distributed-systems fundamentals and experience designing APIs and services. • Shipped agents, not demos: You have taken an LLM agent system with tool use, multi-turn interaction, and planning to real users, and you can talk concretely about how it failed and what you did about it. • Architectural judgment: Informed opinions on single-agent vs. multi-agent design, orchestration patterns, and the current framework and SDK landscape, with the pragmatism to pick the boring option when boring wins. • Eval discipline: You have built or owned evaluation for an LLM system, including golden datasets, LLM-as-judge with calibration, and regression gates in CI, and you can quote the metrics you moved. • Tool design instincts: You know when a deterministic tool beats a model call, how to design tool contracts an LLM will not misuse, and how to keep cost and latency under control. • Distributed systems fluency: Streaming, stateful services, and the operational instincts to keep long-running agent sessions alive in production. • Ownership in ambiguity: You can lead an area as a hands-on IC in an early-stage environment with little existing structure. Security domain experience such as SIEM platforms, SOC workflows, detection engineering, or security query languages, and experience with modern agent SDKs and protocols such as MCP, are strong advantages.

Description What you'll own Fig's product does the work a SecOps engineer does: it investigates coverage gaps against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That means product decisions here are SecOps engineering decisions, and they need someone who has actually done the job. You'll join Fig's product team and own the detection engineering surface of the product - what good coverage analysis looks like, what correct detection content looks like, what a security team should be able to trust the product to do on its own. Fig is defining a category around Security Operations Resilience, and the fastest way to get that right is to be genuinely credible with the SecOps engineers we're building for. What you'll be doing • Drive the detection product domain: Bring deep expertise in SecOps engineering across SIEM, data pipelines, and SOAR, and help the product team define where the product should excel. Develop a strong understanding of the day-to-day work of SecOps engineers and the challenges they face. • Turn expertise into product insight: Conduct deep, hands-on research across real security environments, SecOps engineering practices, data, and tooling. Combine customer feedback with your own experience and the knowledge of the broader team to identify meaningful problems, opportunities, and product directions. • Shape and execute the roadmap: Translate product insights into a focused roadmap aligned with company strategy and customer needs. Partner with the product and engineering teams to prioritize initiatives, make tradeoffs, define outcomes, and drive execution from discovery through delivery. • Turn problems into product direction: Translate ambiguous problems into clear product requirements and actionable plans. Work closely with engineering, design, and security experts to ensure complex technical problems are translated into products that are useful, intuitive, and technically sound. • Shape and evaluate AI agent capabilities: Define what Fig’s AI agent should be capable of doing as a SecOps engineer, what good looks like, and where it must be trusted or constrained. Develop evaluation frameworks, scenarios, and ground truth to measure and continuously improve agent performance. • Own product quality and outcomes: Maintain a deep understanding of how the product is used in real-world security operations. Validate assumptions, identify gaps, and use customer feedback, product data, and operational experience to continuously improve the product and its direction. Requirements What you'll bring • Detection engineering depth: 5+ years in detection engineering or security engineering, with detections you personally wrote, tested, tuned, and maintained in production. • SecOps stack fluency: Hands-on experience with SIEM, SOAR, security data pipelines, or security data lakes, including the query languages and data source configuration work that comes with them. • Content and automation experience: Comfortable building detection content, wiring up data sources, and building automated response workflows - and opinionated about where each one breaks. • Product instinct, not necessarily a product title: You can get from "this is broken" to a clear, buildable spec without being handed a template. Prior Product Manager or Technical Product Manager experience is a strong plus. • Communication that lands both ways: You can hold a deeply technical conversation with a SecOps engineer and a clear one with a security leader. Experience working directly with customers or external security teams is a strong advantage. • Curiosity about AI in the loop: Interested in how AI and ML change detection and monitoring, and willing to reason carefully about what an agent should and shouldn't be trusted to do inside a customer's security environment. • 0-to-1 judgment: Comfortable in an early-stage environment with an emerging category, limited existing structure, and a high bar for ownership.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Design and build the backend services at the core of the Venice platform - the systems that run our identity security operations in production. • Deliver features end-to-end: from technical design and data modeling through implementation, testing, and production rollout. • Work with a cloud-native microservices architecture - services communicating over message brokers, backed by SQL and NoSQL databases, running on managed cloud infrastructure. • Take part in shaping how the platform evolves - you'll have real autonomy to propose technical solutions, influence architecture decisions, and see your work reach production quickly. Requirements • 4+ years of backend / full stack development experience, preferably in SaaS, cyber security, or cloud-native environments. • Hands-on experience with microservices, message brokers, and both SQL & NoSQL databases. • Self-starter, independent, always seeks to understand the big picture, with the ability to own projects and drive them to completion. • Strong communication skills and fluent English. • Knowledge of cloud infrastructure (AWS, GCP, Azure) and identity management solutions is a plus. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Multi-currency and intercompany: ILS/USD books, intercompany billing between the Israeli and US entities, intercompany reconciliation. • Israeli payroll: Manage the end-to-end payroll process, including salary calculations, payslips, salary payments, pension, study fund, new hires, severance, leave and separations, and statutory filings monthly and yearly, and coordination with pension and insurance providers • Own the full bookkeeping cycle: journal entries, accounts payable, accounts receivable, bank reconciliations, credit card reconciliations accruals, prepaids, fixed assets and month-end close. • Priority/Netsuite (Israel) and QuickBooks Online (US). standalone reporting per entity. • Own monthly, quarterly, and annual closings • Reporting and analysis: Budget vs. Actual and variance analysis, plus ad hoc analyses on payroll, vendor. Requirements • 7+ years of hands-on bookkeeping experience, preferably within a high-tech/ Start-up company. • Certified Bookkeeper level 2- mandatory (level 3- advantage) • Certified Payroll Accountant certification - mandatory • Experience or familiarity with NetSuite • Solid working knowledge of Israeli bookkeeping practices, VAT, and tax requirements. • Fluency in English, spoken and written. • Strong attention to detail, highly organized, and persistent with task execution and follow-ups. • Ability to manage responsibilities independently. • Plus- Familiarity with Mesh. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Own and design the connectivity layer from day one, building the secure access infrastructure that links Venice's cloud platform directly into customer networks. • Build features end-to-end across a microservices stack, mostly backend with supporting frontend, to solve critical networking and OS-level security challenges across diverse, locked-down customer environments. • Scale secure access on unpredictable infrastructure using an advanced tech stack focused on Windows and Linux OS internals, proxy architectures, and identity and access primitives. • Drive direct impact on Venice and the future of identity security by enabling secure, reliable access across enterprise networks with complete ownership and technical autonomy. Requirements • 5+ years building backend services and shipping them to production end-to-end, in a cloud-native microservices environment. • Strong networking, OS internals (Windows / Linux) and security fundamentals, you understand how traffic moves and how trust gets established across systems (think TLS, DNS, proxies, identity and access primitives), and you're comfortable reasoning about it end to end. • Calm and methodical in environments you don't fully control, comfortable debugging across firewalls, proxies, and trust boundaries when part of the system is a black box. • A security mindset, you think in terms of trust, blast radius, and what could go wrong, not just the happy path. • Strong ownership instinct, you take problems from ambiguity to a reliable, shipped solution. • Clear communicator with strong English, you can explain a tricky networking issue to a colleague, in writing and live, without losing them. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Own the user-facing surface of the Venice platform - turn genuinely complex security workflows (access requests, policy, audit trails) into interfaces people can use without training. • Deliver features end-to-end: from technical design and API contracts through frontend implementation, backend integration, and production rollout. • Work across the stack - React and Next.js on the frontend, cloud-native microservices and SQL/NoSQL databases on the backend, running on our cloud infrastructure. • Take part in shaping how the platform evolves - you'll have real autonomy to propose technical solutions, influence architecture decisions, and see your work reach users quickly. Requirements • 5+ years building production frontend, with real depth in React (Next.js a plus). • Experience designing component systems and shared UI patterns, not only consuming them. • Solid familiarity with backend development, including hands-on experience with microservices, and both SQL & NoSQL databases. • Strong product instincts: you push back on designs that won't work and care what the thing feels like to use. • Self-starter who owns projects to completion. • Strong communication skills and fluent English. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Own a core product area end-to-end from day one - set direction, define the roadmap, and drive it from discovery to launch and beyond. • Lead discovery calls, POCs, and strategic conversations with Fortune 200 security teams - turning complex enterprise challenges into clear product decisions. • Make the tough prioritization calls: what to build, what to cut, and what to defer - balancing customer impact, competitive position, and engineering capacity. • Work day-to-day alongside UX, Engineering, and leadership throughout the entire process - from early problem framing to shipped product - and influence go-to-market, sales, and customer success on positioning and expansion plays for your area. • Use AI tools day-to-day to move faster - research, specs, prototyping, customer analysis - and bring that same mindset to how the team works. Requirements • 5+ years in product management, ideally with experience in cybersecurity, IAM/PAM, or complex enterprise IT/security products. • Strong technical background - through a degree in Computer Science, Industrial Engineering, or equivalent hands-on experience - with the fluency to debate tradeoffs with engineering and security architects. • Track record of owning a product area and shipping outcomes - not just features - in a fast-moving environment. • Hands-on with customers throughout the product lifecycle: discovery, validation, rollout, and expansion. • Excellent English, written and verbal. • Hands-on user of AI tools in your daily workflow, with a point of view on where they help and where they don't. • Bonus if you've shipped a product in or adjacent to the agentic AI space. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

We've come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that frees users from the complexities of creation so they can do more, faster. We are looking for a hands-on engineer to own our cloud infrastructure and CI/CD pipelines on AWS with Azure DevOps (Pipelines & Releases). You will take over existing infrastructure and pipelines written in PowerShell and Python, stabilize & improve them, and lead AI/LLM enablement across Dev, QA, and Support, including building internal agents, integrating with LLMs (via MCP and other frameworks), and driving AI adoption in day-to-day workflows. You'll partner closely with R&D to streamline builds, deployments, environment management, and observability, while also pushing upgrades and optimizations in AWS services. What will your job look like? Key Responsibilities CI/CD & Cloud Infrastructure Own, maintain, and enhance Azure DevOps Pipelines & Releases (multi-stage YAML/classic) for builds, deployments, and scheduled tasks. Refactor existing PowerShell, javascript and Python pipeline scripts for reliability, security, and performance. Implement pipeline templates, gates, approvals, artifact versioning, and automated rollbacks. Introduce pipeline observability (dashboards, alerts, metrics) and enforce branching, tagging, and release standards. Operate and improve AWS environments (Prod/Stage/Dev/QA), including networking, compute, storage, databases, security, and cost management. Implement Infrastructure as Code (IaC) (Terraform or AWS CloudFormation); manage parameter stores/secrets. Automate environment lifecycle: provisioning, configuration, blue/green & canary releases, and disaster recovery. Drive updates and improvements across services (e.g., EKS/EC2/Lambda, RDS/DynamoDB, ElastiCache, S3, CloudFront/ALB/ELB, Route 53, CloudWatch, Systems Manager, IAM, KMS). Standardize and automate Dev/QA/SIT/UAT environments; ensure parity with Production where relevant. Build ephemeral preview environments per PR; manage test data seeding/anonymization. Collaborate with QA to integrate test orchestration (smoke/regression) into pipelines with gates and quality metrics. Implement monitoring/alerting (CloudWatch, Prometheus/Grafana), logging (CloudWatch Logs/OpenSearch), and distributed tracing (X-Ray/OpenTelemetry). Harden IAM (least privilege, scoped roles), secrets management, key rotation, and compliance checks. Track and optimize AWS spend (rightsizing, autoscaling, lifecycle policies). AI/LLM Enablement Build and deploy AI-powered features using LLMs (OpenAI, Azure OpenAI, Hugging Face). Implement MCP-based integrations for context-aware workflows. Design and build internal AI agents (for Dev/QA/Support) to assist with triage, runbooks, test data generation, log analysis, and developer productivity. Integrate LLMs via secure patterns (e.g., Model Context Protocol (MCP), retrieval-augmented generation, prompt engineering, guardrails, and observability). Create tooling that plugs AI into pipelines/workflows (PR summaries, release notes, changelog generation, incident post-mortems). Establish data governance for AI: access control, PII handling, prompt/data sanitization, and auditability. Write production-grade code for AI workflows, including prompt engineering, function calling, and agent orchestration. Integrate AI services into ERP, web apps, and backend systems. Requirements All you need is... Required Skills & Qualifications 5+ years working with AWS in production (multi-account, multi-env). 3+ years with Azure DevOps (Pipelines/Releases), including YAML pipelines. Strong javascript, PowerShell and Python for automation and pipeline tasks. Hands-on experience with IaC (Terraform or CloudFormation). Solid understanding of networking, security (IAM/KMS), containers (Docker; EKS preferred) or serverless (Lambda). Experience integrating LLMs/AI into engineering workflows (agents, prompt engineering, RAG, MCP or similar). Proven track record of CI/CD best practices, release orchestration, artifact/version management, and rollback strategies. Experience with OpenAI/Azure OpenAI, Anthropic, or other LLM providers; familiarity with MCP. Knowledge of Node.js build/deploy pipelines (to align with parts of our stack). Exposure to C++ build systems (beneficial for our business logic components). Observability stack: OpenTelemetry, Grafana, Loki/ELK/OpenSearch. Security/compliance tooling (e.g., CIS benchmarks, AWS Config, Inspector). Experience with fine-tuning and deploying models in production. Excellent interpersonal skills, Proactive, Fast learner and team player Knowledge in Agile and Scrum - Advantage Excellent English writing and verbal skills - Mandatory Travel Booster is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

Know how travel agencies really work? Help us build the system they run on. Our mission has always been the same: world-class technology for the travel industry. Travel Booster is a constantly improving ERP for travel agencies, tour operators and travel management companies. It takes the complexity out of their daily work so they can do more, faster. We're looking for a Customer Operation Specialist who understands travel from the inside. If you've worked with bookings, GDS systems, suppliers or agency back-office, you already speak our customers' language. What your day-to-day will look like ✓ Be the go-to expert for complex customer issues across bookings, operations and back-office workflows ✓ Build long-term relationships with travel agencies, tour operators and TMCs ✓ Keep customers satisfied with professional, knowledgeable support ✓ Manage the day-to-day operational side of your customer accounts ✓ Mobilize internal teams (Product, R&D, QA) on behalf of your customers ✓ Lead full system implementations on-site, from setup to go-live What will make you stand out? ✓ Experience in the travel industry: travel agency, tour operator, TMC, airline, hotel chain or travel-tech company ✓ Familiarity with GDS systems (Amadeus, Sabre, Galileo) or other booking and reservation platforms ✓ Customer support, customer success or implementation experience in a B2B or SaaS environment ✓ A technical mindset and strong problem-solving skills ✓ Excellent communication skills in Hebrew and English Why join us ✓ Turn your travel know-how into a tech career ✓ Work with leading players in the travel industry Requirements What will you bring to the team? ✓ 2+ years of proven experience in customer relations or operations in complex environments, with a strong business focus ✓ Familiarity with the travel / traveltech industry – a must. For example, experience at a travel agency, tour operator, TMC, airline, hotel chain or travel-tech company ✓ Analytical, methodical and strong troubleshooting skills ✓ Highly service-oriented, with excellent interpersonal communication skills ✓ Excellent written and verbal English Advantages: ✓ Hands-on experience with Gilboa or Travel Booster ✓ Experience with GDS systems (Amadeus, Sabre, Galileo) or other booking and reservation platforms ✓ Training experience ✓ Additional languages

We've come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that frees users from the complexities of creation so they can do more, faster. We are looking for an experience (5+ years) hands-on Software Engineer who will design and implement scalable, production-ready solutions and integrate modern technologies such as LLMs, MCP, and agent-based frameworks into our platforms. In addition to driving innovation, this role will involve full-stack development for web applications and backend services, ensuring seamless integration of advanced capabilities into our existing ecosystem. What will your job look like? Develop APIs and microservices for integration with internal and external systems Build and deploy AI-powered features using LLMs (OpenAI, Azure OpenAI, Hugging Face). Implement MCP-based integrations for context-aware workflows. Create and orchestrate AI agents for automation and intelligent decision-making. Write production-grade code for AI workflows, including prompt engineering, function calling, and agent orchestration. Integrate AI services into ERP, web apps, and backend systems. Evaluate and recommend AI tools, frameworks, and best practices (LangChain, LlamaIndex, MCP). Create orchestration layers for intelligent workflows and automation Drive internal education and help teams leverage AI effectively – MCP, Agents. Ensure AI models and agents are monitored, retrained, and optimized for performance. Implement CI/CD pipelines for deployments. Apply responsible AI principles, data privacy, and compliance standards. Requirements All you need is... Required Skills & Qualifications Strong experience in JavaScript/TypeScript, C#, React, and Node.js. At least 5 years of experience in software development using these technologies. Backend development experience with REST APIs, microservices, and cloud environments. Experience building AI agents and multi-agent systems for task automation. Familiarity with Model Context Protocol (MCP), and AI agent frameworks. Solid experience integrating LLMs into applications (OpenAI API, Azure OpenAI, open source LLMs modules). Experience building APIs, microservices, and scalable architectures. Familiarity with containerization (Docker, Kubernetes) and CI/CD. Knowledge of prompt engineering and integration patterns. Experience with fine-tuning and deploying models in production. Excellent interpersonal skills, Proactive, Fast learner and team player Knowledge in Agile and Scrum - Advantage Excellent English writing and verbal skills – Mandatory Travel Booster is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

We've come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that frees users from the complexities of creation so they can do more, faster. We are looking for a Senior Project Manager to join our team. As a Project Manager on this team, you'll be at that forefront, using your leadership skills and technical expertise to help customers achieve incredible results. You will juggle multiple projects at any given time. You will help us get better at planning and executing these projects. You will also put in place the measurements and data to help us better understand and communicate our capacity and commitments. This role will report to the Head of Customer Experience. What will be your day to day as a Project Manager? ✓ Build strong relationships with our Customers to understand their needs and ensure their success with travelbooster.com ✓ Own the prioritization and sequencing of the project execution: Plan and execute projects and manage their onboarding with a high level of complexity and uncertainty including managing project scope, requirements changes, multiple and competing demands and priorities as well as determining and conveying impact on budget, time and risk using appropriate fact-based metrics / assumptions. ✓ Serve as the main point of contact and liaison between customers and the rest of the Travel Booster team ✓ Keep up with rapidly changing projects, requiring fast and smart decision making ✓ Understanding the customer's business flows, eco-system, and system needs, as well as representing the customer's voice is critical to delivering a successful solution ✓ To ensure continued engagement with customers, provide technical support, training sessions, and guidance during and after the project Requirements What will you bring to the team? ✓ 5+ years proven experience in Technical Project Management, in complex environments, with a strong emphasis on customer service and business aspects within Saas tech companies ✓ 5+ years of experience in system integrations, APIs and data serialization formats (JSON, XML) ✓ Training experience - Advantage ✓ Experience working with Elasticsearch - Advantage ✓ Analytical, methodological, and troubleshooting abilities ✓ Strong team player to able to work closely with our sales, marketing, product, and R&D teams to deliver exceptional customer experiences ✓ Capable of working effectively in a dynamic environment. ✓ Highly service oriented, excellent interpersonal communication skills ✓ Familiar with the travel industry - a major advantage ✓ Industrial and management engineering degree - Advantage ✓ Excellent English writing and verbal skills ✓ Additional languages - Advantage

We've come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that frees users from the complexities of creation so they can do more, faster. We are looking for a Customer Operation to join our team. How your day to day as a Customer Operation Specialist will look like? Provide timely support for applicant complex issues Building and maintaining long-term relationships with customers Ensure customer satisfaction by providing professional customer support Manage day-to-day operational aspects of the customers Managing internal organizational resources to the benefit of the customers Full implementation of the system at the customer's site Requirements What will you bring to the team? 2+ years proven experience in customer relations/operations, in complex environments, with a strong emphasis on business aspects Analytical, methodological, and troubleshooting abilities Familiar with the traveltech industry - Mandatory Highly service oriented, excellent interpersonal communication skills Control over Gilboa or Travel Booster software - Mandatory Training experience - Advantage A high level of writing and verbal proficiency in English Additional languages - Advantage

About Us We deliver a continuous, AI-powered offensive security platform that proactively identifies and validates critical vulnerabilities – reducing risk exposure, accelerating remediation, and preventing breaches before attackers can act. Our team of top-tier security researchers, ethical hackers, and AI engineers is building an intelligent, automated platform that detects vulnerabilities, predicts risks, and strengthens defenses - faster and smarter than ever before. Powered by AI innovation and driven by a world-class team, we're creating the future of autonomous cybersecurity. We're passionate about creating products that bridge AI and cybersecurity - enabling enterprises to detect, respond, and adapt faster than ever before. About the Role We're looking for a Product Manager who's passionate about building transformative cybersecurity products from the ground up. In this role, you'll take ownership of our product roadmap, define the user experience, and drive the development of new capabilities that power our AI-based security platform. You'll work closely with engineering, design, and research teams to translate complex technical ideas into intuitive and impactful features. This is a hands-on, strategic role - perfect for someone who loves both the "big picture" and the fine details, thrives in fast-paced environments, and wants to shape a product that's redefining the future of security. Responsibilities Lead the product lifecycle end-to-end - from ideation, definition, and design, through development, launch, and iteration. Partner closely with R&D, and AI teams to build innovative security features that solve real customer challenges. Define product requirements, write detailed PRDs, and prioritize development based on customer value and business impact. Work with customers, prospects, and field teams to identify needs, validate hypotheses, and gather actionable feedback. Conduct market, competitive, and user research to inform product strategy and positioning. Collaborate cross-functionally to ensure smooth delivery and adoption of new capabilities. Measure product performance and continuously optimize user experience and engagement. Requirements 5 years of experience as a Product Manager in a technology company - in cybersecurity, developer tools, or AI-driven products. Must: Proven track record managing complex product lifecycles and delivering impactful features in fast-paced environments. Strong technical background or familiarity with backend, cloud, or data systems. Excellent analytical and problem-solving skills, with a structured approach to decision-making. Exceptional communication and collaboration skills - you know how to align diverse teams around a shared vision. Passion for building from A-Z - defining structure, processes, and priorities in an evolving startup. Bonus Points Previous hands-on experience in software engineering or data roles. Exposure to customer-facing activities (sales engineering, customer success, or field product work). Familiarity with B2B SaaS or enterprise software environments.

Account Executive & Channels – Israel Reporting to: VP of Sales About the Role We're looking for an experienced Account Executive to drive growth across Israel and help expand Novee's presence in the cybersecurity market. In this role, you'll own the full sales cycle - from identifying and developing new opportunities to closing strategic enterprise deals. You'll work closely with our Solutions Engineer, as well as our marketing, product, and technical teams, to deliver meaningful value to customers throughout the sales process. As Novee's first sales hire dedicated to Israel, you'll have significant ownership over developing the market, building the pipeline, and establishing strong relationships with Israeli customers and partners. You'll also lead channel activity in Israel, recruiting and enabling partners, developing partner-sourced opportunities, and driving joint sales activities. You'll play a key role in bringing Novee's vision to life by helping enterprises adopt cutting-edge, AI-powered offensive security technology. This is a high-ownership individual contributor position for a driven, entrepreneurial sales professional who thrives in dynamic environments, enjoys building markets, and knows how to turn relationships into business opportunities. Responsibilities Own and manage the full sales cycle - from prospecting and pipeline development to negotiation and contract closure. Develop Novee's commercial presence across Israel. Proactively generate new business opportunities through direct outreach, industry relationships, partners, events, and conferences. Build and nurture long-term relationships with key prospects, customers, and relevant industry stakeholders. Work closely with the Solutions Engineer throughout the sales process, including discovery, demonstrations, technical evaluations, and proof-of-value processes. Collaborate with marketing, sales development, product, and technical teams to execute effective go-to-market strategies. Accurately forecast sales performance, maintain pipeline visibility, and report progress and results to leadership. Stay up to date on industry trends, customer needs, and the competitive landscape to identify new opportunities and potential risks. Define and execute Novee's channel strategy in Israel, aligned with the company's sales goals. Recruit, onboard, and activate relevant local partners, including resellers, MSSPs, and system integrators. Build strong partner relationships and coordinate enablement with the Solutions Engineer and marketing team. Generate partner-sourced pipeline and lead joint sales activities with partners throughout the sales cycle. Manage deal registration, attribution, and potential conflicts between direct and partner-led opportunities. Requirements Minimum 5+ years of proven B2B sales experience within the cybersecurity industry - a must. Demonstrated success in consistently meeting and exceeding ambitious sales targets. Proven experience managing complex, enterprise-level sales cycles from initial prospecting through close. Experience working with early- to mid-stage cybersecurity startups or high-growth technology companies. Strong understanding of the Israeli cybersecurity market. Experience working with channel partners in Israel and driving joint sales opportunities. Strong relationship-building and communication skills, with the ability to influence and engage technical and business stakeholders at all levels. Skilled negotiator with a proven track record of closing complex, high-value deals. Proficiency in CRM systems such as HubSpot and familiarity with sales analytics, forecasting, and reporting tools. A true field player - actively engaging with customers through on-site meetings, industry events, conferences, and partner activities. Highly organized, self-driven, and entrepreneurial, with the ability to take full ownership of a territory and the sales process from prospecting to close. Ability and willingness to travel across Israel as required. Full professional proficiency in both Hebrew and English. Technical knowledge or familiarity with cybersecurity, offensive security, application security, infrastructure, or DevOps tools is a strong advantage. What We Offer The opportunity to own and shape Novee's sales presence and channel activity in Israel. A highly influential individual contributor role in a fast-growing cybersecurity startup. Close collaboration with an experienced Solutions Engineer and direct access to Novee's leadership, product, and technical teams. A collaborative and supportive environment that values initiative, creativity, accountability, and ownership. Exposure to cutting-edge technology at the intersection of AI and offensive cybersecurity - working with innovations that are defining the next era of cyber defense.