Jobs in Tel Aviv-Yafo

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role We're looking for a Senior Bookkeeper to own bookkeeping for PointFive's Israeli company and US subsidiary, end to end. It's a hands-on role in a growing finance team in Tel Aviv, where you'll run the close, payroll and payments, and help build cleaner, more automated processes in NetSuite and Ramp. What You'll Do • Own full-cycle bookkeeping for PointFive Ltd. (Israel) and PointFive US Inc. up to a reviewed trial balance and balance sheet • Lead the monthly close for both entities: accruals, prepaid amortization, bank/card/AP/AR reconciliations, cut-off • Manage intercompany activity: monthly recharge invoicing per the transfer pricing model, intercompany reconciliation and FX • Run Israeli payroll end-to-end in Shiklulit: monthly payroll, pension and Bituach Leumi payments, Forms 102, 126 and 106, final settlements for leavers, and payroll journal entries • Own US bookkeeping in-house: TriNet payroll entries, AP and payments, 1099 filings, sales tax support, and coordination with the US tax preparer • Spend management in Ramp: card reconciliation, reimbursements, policy enforcement, and leading the move of AP invoices into Ramp • AP end-to-end for both entities, including vendor onboarding (W-9/W-8, Israeli withholding certificates) and payment runs • AR and cash application, including reconciliation of Marketplace disbursements against customer invoices • Record UK employee costs from Deel • Israeli statutory reporting: VAT, withholding (Nikuim), advance payments (Mikdamot), Form 856 • Support audits, the 409A process, and US/Israeli tax filings with external advisors • Improve processes and automation within NetSuite and Ramp What We're Looking For • 5+ years of bookkeeping experience in high-tech, including at least 2 years as the sole or lead bookkeeper of an Israeli company with a US subsidiary (must) • Certified Bookkeeper Type 3 (must) • Hands-on Israeli payroll processing (must) • Hands-on US bookkeeping experience, including PEO payroll entries, 1099s and sales tax basics (must) • Hands-on NetSuite experience in a multi-entity, multi-currency environment (must) • Experience with Brex or Mesh - must (Ramp is an advantage) • Experience with IL payroll processing tool (Shiklulit is an advantage) • Certified Payroll Accountant (strong advantage) • High-level English, written and spoken (must) • Strong Excel skills (Pivot, XLOOKUP) • Advantage: AI automation processes in finance, Marketplace experience Why PointFive • Founders with a track record: Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product: DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage: Your work directly shapes the product, the culture, and the go-to-market playbook. • Build the finance engine: Own the books for two entities and help a growing company move fast with clean, automated processes.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the role This is the connective tissue of our marketing. Product marketing, content, field, PR, partners, web and our outside agencies each own their piece. You make sure the pieces fit: that everyone knows what's coming, what they owe, and when, so we all move together. You won't write every word, run every event or own every relationship. You will see the dependencies nobody else sees, bring the right people together early, and keep everyone accountable to the dates, including very senior people. It takes real experience to do this well, and the judgment to know when to push and when to adjust. What you'll do • Keep one shared view of everything marketing has coming, months ahead, so every team plans against the same picture. • Think strategically about sequence. Decide what should come first, what builds on it and what lands last, so each launch, story, event and partner moment sets up the next one instead of competing with it. • Work backwards from the big moments on the calendar and map the interdependencies: what has to be true, by when, for each one to land. • Spot the connections early: which launch, story, event, partner and customer moment belong together. • Bring the right people into the room at the right time and make sure each knows what they own and when it's due. • Run the rhythm that keeps marketing, product, sales and partnerships in sync week to week. • Make sure the website and our other channels reflect what we're saying, working with the people who own them. • Give our agencies and outside partners clear direction so their work lands right the first time. • Notice when something is slipping before anyone else does, and fix it or flag it. The kind of situations you'll handle • A major conference is four months out. Work backwards so that the product news, the story behind it, the press, the partners and the customer voices are all ready at the right moment, and every owner knows it. • Three teams are planning three good ideas for the same month. Turn them into one moment instead of three competing ones. • A launch date moves. Figure out everything downstream that moves with it, and get everyone re-aligned before it becomes a problem. • A partner wants to do something together. Make sure it fits the bigger plan and doesn't collide with what's already coming. What we are looking for You probably haven't had this exact title. The people who do this well usually took a winding path through events, content, product marketing, community, sales, producing or founding something. What they share is that they make things happen. • You have real, hands-on marketing experience, ideally in B2B tech, across more than one discipline. • You have built something from scratch: a community, an event, a program, a side project, something nobody asked you to start. • You have kept many moving parts and many people on track at once, and you have the stories to prove it. • You think in plans, calendars and dependencies. Things don't fall through the cracks around you. • You have ideas and you see them through. Landing six moving parts in the right order is your idea of a good week. • You solve problems sideways when the budget, the time or a missing piece gets in the way. • You're hungry. Your scope keeps growing because you pick up what nobody owns. • You hold people accountable, kindly, including people more senior than you. • You write clearly in English and Hebrew and can brief anyone so they get it right the first time. What doesn't matter, and what's a bonus Doesn't matter: your current title, a specific number of years, a marketing degree, or whether you have held a role like this before. You don't need to code. Bonus points: • You have built things with AI tools (workflows, agents, automations) that made you or your team faster. • You have worked with cloud or AI infrastructure buyers, or alongside hyperscaler and partner teams. • You have run a launch, an event or a program end to end, from blank page to results. • You have worked at both an early-stage startup and a company that was scaling fast. You don't need to tick every box. Show us you can really own this. Your first 90 days • Days 1 to 30: You know every team, partner and vendor we work with. You have mapped what's planned, what's in flight and what's missing, and you've shipped at least one thing yourself. • Days 31 to 60: One shared view of what's coming is live, and every team plans against it. A weekly rhythm is running. The next major moment is mapped backwards, with every owner and date agreed. • Days 61 to 90: You've coordinated a connected moment from start to finish: launch, content, PR, partner and event pulling in the same direction. Other teams now come to you first. How we'll know it's working • Big moments land on time, with every piece pointing the same way. • Every team plans against the same picture of what's coming. • Agencies and partners deliver better work because the direction is clearer. • People across the company come to you first to find out what's happening and where they fit. What you might not love • A lot of your job is chasing people who are busy, some of them very senior. • Plans change often. You'll rework the picture more than once a quarter and still keep everyone aligned. • Much of your best work is invisible when it goes well. The moment lands, and it looks easy. Why PointFive • Founders with a track record — Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product — DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage — Your work directly shapes the product, the culture, and the go-to-market playbook. • Your role has a view across the whole company — product, research, partners, sales and leadership all run through this seat. Direct access to founders and leadership, and room to act without layers of approval.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team — operating with a high degree of autonomy in an ambiguous, fast-moving environment. What You'll Do • Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset. • Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data. • Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems. • Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams. • Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation. What We're Looking For Must-have • 8+ years of experience in backend software engineering, with a proven track record designing, building, and operating large-scale cloud production systems. • Strong coding fundamentals in backend technologies such as Go, Python, Java, etc. • Experience leveraging AI coding agents (e.g., Claude Code) and implementing AI-oriented workflows to enhance team productivity and code quality. • Production-grade experience with AWS, containerization (Kubernetes/Docker), microservices, and distributed databases/data warehouses (e.g., PostgreSQL, Snowflake). • Practical experience working with large data volumes, data pipelines, or integrating AI/LLM technologies into production environments. • Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner. • A true independent operator who thrives in fast-paced environments and solves problems end to end. • Ability to build technical consensus, inspire peers, and drive alignment across stakeholders. Our Tech Stack Go, Python, Java, AWS, Kubernetes, Docker, PostgreSQL, Snowflake Why PointFive • Founders with a track record — Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product — DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage — Your work directly shapes the product, the culture, and the go-to-market playbook. • Step into a leadership track on a lean, senior engineering team — set direction for architecture and mentorship from day one.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role We're looking for an exceptional, hands-on technical leader to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team — operating with a high degree of autonomy in an ambiguous, fast-moving environment. What You'll Do • Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset. • Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data. • Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems. • Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams. • Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation. What We're Looking For Must-have • 8+ years of experience in backend software engineering, with a proven track record designing, building, and operating large-scale cloud production systems. • Strong coding fundamentals in backend technologies such as Go, Python, Java, etc. • Experience leveraging AI coding agents (e.g., Claude Code) and implementing AI-oriented workflows to enhance team productivity and code quality. • Production-grade experience with AWS, containerization (Kubernetes/Docker), microservices, and distributed databases/data warehouses (e.g., PostgreSQL, Snowflake). • Practical experience working with large data volumes, data pipelines, or integrating AI/LLM technologies into production environments. • Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner. • A true independent operator who thrives in fast-paced environments and solves problems end to end. • Ability to build technical consensus, inspire peers, and drive alignment across stakeholders. Our Tech Stack Go, Python, Java, AWS, Kubernetes, Docker, PostgreSQL, Snowflake Why PointFive • Founders with a track record — Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product — DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage — Your work directly shapes the product, the culture, and the go-to-market playbook. • Real technical ownership — as a force multiplier on a core team, you'll set architecture and engineering standards across the R&D org, not just execute against someone else's.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. The Role We're looking for a researcher who has run real production workloads on Kubernetes and wants to turn that experience into detections that thousands of engineers will trust. You'll own Kubernetes cost efficiency end to end: it starts with "this looks expensive," moves through real billing, metrics and inventory data, and finishes with a shipped detection that gets adopted by verity of engineering teams who act on it. This role sits at the junction of research, product and engineering: you pick the problem, prove it against real customer data, and take it to production. You’ll set the standard and best practices for k8s efficiency. The detections you develop will run in a variety of complex Kubernetes environments across the planet, and engineering teams everywhere will build on what you discover. What You'll Do • Research and ship new Kubernetes detections. Find optimization opportunities, prove them against real customer data • Lead the Kubernetes domain end to end: the detection library and build the road map to maximize value. • Work hand-in-hand with engineering, and go deep wherever the problem takes you: Kubernetes internals, cloud provider APIs, billing systems, data pipelines. This is a technical role, not a research-only one. • Bring domain expertise into pre-sales and post-sales processes, directly and tightly working with prospects to maximize value • Publish thought-leadership content on Kubernetes cost efficiency: blog posts, white papers, OSS, webinars or live sessions. Must Have • 3+ years running production workloads on Kubernetes (EKS, GKE or AKS) as an SRE, platform, DevOps or infrastructure engineer. You've been on-call for it, and you know how requests and limits drive scheduling and pod packing, how the cluster autoscaler and Karpenter behave under real load, why a node group's minimum size is set where it is, and what breaks when you change instance architecture or generation. • Independent and comfortable owning a ambiguity problem e2e from first hypothesis to shipped detection. • Ability to orchestrate engineering work: translate research findings into clear technical requirements, align priorities with engineering teams, and coordinate delivery through to production. • Deep, hands-on AWS knowledge (EC2, EKS, ECR, networking, Savings Plans, RIs, and more), and working knowledge of Azure or GCP. • Strong quantitative skills: analytics, statistics, modeling. You can take complex, unstructured data, build the right model or calculation for it, and know exactly why the numbers hold up. • A skeptical, evidence-first mindset: you look for the reason a recommendation is wrong before you look for the reason it's right. • Clear communication skills. You can explain a technical finding and its business impact to different stakeholders. Nice to Have • Experience running AI/ML infrastructure: GPU node pools, inference serving, or managed model platforms (Bedrock, Azure OpenAI, Vertex AI), including per-token and provisioned-throughput pricing. • Hands-on FinOps experience: AWS CUR, Split Cost Allocation Data, FOCUS, cost allocation and chargeback. • Hands-on experience in dbt, Snowflake, GO • Experience with ARM/Graviton migrations or large-scale rightsizing programs. • Data platform experience (Databricks, Snowflake, BigQuery). • Published technical research artifacts (blog/white papers/OSS) or experience in public speaking (conferences, meetups). • Contributions to related open-source projects. • Prior cloud security research experience. • Academic background Success in Your First 6 Months • You own Kubernetes cost efficiency as an area and have shipped several new detections in it. • Customer teams have reviewed, approved and implemented your recommendations across their environments, and the findings held. Why Join • Your work reaches engineering teams that spend millions a month on cloud, and they act on it. • You'll work with real cost, inventory and metrics data from hundreds of production environments on every major cloud, so you'll see patterns no single company sees. • A small research team with high ownership: you pick the problem, prove it, and solve it. • Go deep You will study Kubernetes environments in full depth. You will define the best practices other teams follow. • A unique opportunity. No other company gives you this exact mix: real Kubernetes research, production-scale data, and direct customer impact.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role TokenShift is PointFive's newest product — a lightweight CLI proxy that sits between AI coding agents and the shell or server, routing to different models for perfect model to effort fit, compressing command output to cut token spend and surface fleet-wide visibility. As an Senior software Engineer (Endpoint), you'll own the layer that makes TokenShift work: the per-agent harnesses, the compression rules and strategies, and the installation and hook mechanics that get us onto developer machines — reliably, invisibly, and at scale. This is a rare chance to build foundational infrastructure for AI developer tooling, at a company where your work directly shows up in the product used by engineering teams at companies like Expedia and EON. What You'll Do • Own the installation and enrollment mechanics — the CLI flows, MDM scripts, and platform-specific packaging (Windows msi/exe, macOS pkg, Linux deb/rpm) that put TokenShift on developer machines at fleet scale. • Instrument and monitor endpoint behavior through the telemetry pipeline, using signals to improve coverage and catch regressions. • Build and maintain a robust lab enabling automatic research and development of new capabilities and platforms by AI agents. • Build and maintain agent harnesses — the per-agent adapters that hook into Claude Code, Cursor, Copilot CLI, Codex, and future agents to route network and shell commands through the TokenShift proxy. • Develop and extend compression rules and strategies for new command types (git, build tools, infra CLIs, search, and more), ensuring token reduction never comes at the cost of semantic accuracy. • Maintain correctness and resilience of the proxy layer — compression must be reversible on demand, hooks must never block a developer's command, and failures must be silent and transparent. • Collaborate with the research team to translate newly supported agent architectures into production-grade harnesses. What We're Looking For Must-have • Solid understanding of Windows and Unix fundamentals: process model, shell execution, stdin/stdout/stderr, file permissions, and IPC. • Deep familiarity with MDM deployment patterns (Jamf, Intune, JumpCloud, Ansible). • Strong proficiency in Go — the TokenShift CLI is written in Go, and this is where the core work happens. • Experience building or maintaining CLI tools in production environments. • Attention to correctness and edge cases — you think about what happens when things go wrong before they do. • Ability to work across platforms (macOS and Linux) and understand their differences at the system level. Nice to have • TypeScript experience. • Hands-on experience with AI coding agents (Cursor, Claude Code, Copilot CLI, Codex) as a user or developer. • Experience with semantic compression, summarization, or output parsing. Our Tech Stack Go, TypeScript, Cloudflare, Snowflake Why PointFive • Founders with a track record Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage Your work directly shapes the product, the culture, and the go-to-market playbook. • You'll build the infrastructure layer for AI developer tooling The part that actually runs on every developer's machine, quietly making every agent session cheaper and more visible.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role TokenShift is PointFive's newest product — an endpoint runtime for AI coding agents that gives organizations control, visibility, and efficiency across how agents execute commands and consume models. As AI agents move from chat interfaces into developer machines, they increasingly need access to shells, filesystems, credentials, developer tools, and local compute. At the same time, enterprises are beginning to run models locally — on laptops, workstations, developer VMs, and managed endpoint fleets — across a wide variety of operating systems and hardware architectures. This role exists to push that frontier forward. You'll research how AI coding agents execute and isolate workloads, design secure sandboxing mechanisms, and build the infrastructure required to deploy and operate local models across heterogeneous endpoint environments. You'll work across macOS, Windows, Linux, WSL, developer containers, and other runtime environments, figuring out how to provide agents with powerful capabilities without giving them unrestricted access to the machine. It's a rare opportunity to work at the intersection of operating systems, endpoint security, AI infrastructure, local inference, and developer tooling — in a product already running inside enterprise engineering environments. What You'll Do • Research AI coding agent runtimes — reverse-engineer how tools such as Claude Code, Cursor, Copilot CLI, Codex, and emerging agents execute commands, access files, spawn processes, and interact with the operating system. • Design agent sandboxing architectures that safely constrain filesystem access, networking, process execution, credentials, and other sensitive endpoint capabilities. • Explore and implement OS-native isolation mechanisms across macOS, Windows, and Linux, including containers, namespaces, sandbox profiles, virtualization, restricted processes, and permission models. • Build endpoint "harnesses" that allow TokenShift to intercept, control, observe, and modify agent execution flows. • Design infrastructure for deploying and running local LLMs across heterogeneous endpoint fleets, accounting for operating system, CPU architecture, GPU availability, memory constraints, and hardware acceleration. • Evaluate local inference runtimes and model formats such as llama.cpp, MLX, ONNX Runtime, Ollama, vLLM-compatible runtimes, and emerging alternatives. • Develop mechanisms for model discovery, installation, versioning, updates, health monitoring, and lifecycle management across large numbers of developer machines. • Research hardware-aware model selection and routing — deciding which models can run effectively on Apple Silicon, NVIDIA GPUs, Windows workstations, Linux machines, CPU-only environments, and other endpoint configurations. • Build benchmarks that measure model latency, throughput, memory consumption, startup time, resource contention, and developer experience on real endpoint hardware. • Investigate security boundaries between local models, cloud-hosted models, agents, MCP servers, shells, and enterprise resources. • Collaborate with the core CLI and platform teams to take endpoint research from prototype through production. • Track the rapidly evolving AI agent, sandboxing, and local inference ecosystems and proactively identify technologies PointFive should support. What We're Looking For Must-have • Deep understanding of operating system fundamentals: processes, permissions, filesystems, IPC, networking, signals, and process trees. • Strong understanding of sandboxing and workload isolation concepts. • Hands-on systems experience across multiple operating systems, ideally including Linux, macOS, and Windows. • Experience building or debugging software that runs directly on developer endpoints, workstations, or servers. • Comfort operating close to the metal — binary behavior, system calls, OS APIs, environment variables, config files, process injection/interception, and runtime behavior. • Investigative, reverse-engineering mindset — you enjoy taking apart systems you didn't build and figuring out how they actually work. • Ability to move comfortably between research prototypes and production-quality systems code. Nice to have • Experience running or deploying local LLMs using frameworks such as llama.cpp, MLX, Ollama, ONNX Runtime, or similar inference runtimes. • Understanding of model quantization, KV-cache behavior, GPU memory constraints, model loading, and inference performance. • Experience with NVIDIA CUDA, Apple Metal, DirectML, ROCm, or other hardware acceleration stacks. • Experience with Linux namespaces, seccomp, cgroups, AppArmor, SELinux, eBPF, or container runtimes. • Familiarity with macOS sandboxing, Endpoint Security Framework, launchd, XPC, virtualization, or Apple Silicon. • Familiarity with Windows security primitives, Job Objects, AppContainers, Windows Sandbox, Hyper-V, WSL, ETW, or Windows process APIs. • Hands-on familiarity with AI coding agents such as Cursor, Claude Code, Copilot CLI, and Codex. • Experience with endpoint management or fleet deployment technologies such as MDM, Intune, Jamf, SCCM, or enterprise software distribution systems. • Experience with containers, microVMs, or lightweight virtualization technologies. • TypeScript experience. Our Tech Stack Go, TypeScript, Cloudflare, Snowflake, local inference runtimes, and OS-native endpoint technologies across macOS, Windows, and Linux. Why PointFive • Founders with a track record Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product We're building the control plane for how AI agents operate across enterprise engineering environments — from model access to endpoint execution. • Hard systems problems AI agents are becoming increasingly powerful, but giving them access to developer machines introduces an entirely new class of security, isolation, performance, and infrastructure challenges. You'll work directly on those problems. • Local AI is becoming infrastructure As capable models increasingly run on laptops and workstations, enterprises will need a way to deploy, manage, secure, and govern them across thousands of heterogeneous machines. You'll help define how that infrastructure works. • Early-stage leverage Your research will directly shape the architecture of the product and determine which capabilities PointFive can deliver next. • Frontier of AI developer tooling Agents, local models, and endpoint runtimes are evolving extremely quickly. You'll be researching and integrating technologies before they become standard parts of the enterprise developer stack.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role We're looking for a Senior Product Manager to own TokenShift, PointFive's product for finding and cutting wasted AI token spend. This is a chance to define product strategy for a brand-new category, working hands-on with R&D on how AI agents and LLM models actually run, get monitored, and get paid for in production. You'll take TokenShift from early adoption to a core pillar of PointFive's platform, alongside our flagship DeepWaste product. What You'll Do • Own the product strategy and roadmap for TokenShift, from discovery through GA and beyond. • Translate a deep technical understanding of how AI agents and LLM workloads run — inference calls, endpoints, agent harnesses and orchestration — into requirements R&D can build against. • Partner with R&D, design, and data science to scope, prioritize, and ship features that surface and reduce AI token waste. • Work directly with enterprise customers and prospects to understand how they deploy AI agents in production and where their cost and visibility gaps are. • Define and track success metrics — adoption, cost savings, detection accuracy — and use them to drive roadmap decisions. • Collaborate with go-to-market teams on positioning, messaging, and launch plans for new capabilities. • Stay current on the landscape: coding agents and harnesses, LLM gateways and routers, AI observability, and endpoint management. • Represent the voice of the customer internally, balancing technical depth with business impact. What We're Looking For Must-have • Technical background, e.g. former software engineer or technical PM with hands-on coding or systems experience. You use AI coding agents daily and understand them from the inside. • Experience with products deployed as an agent on endpoints, such as EDR/XDR, AI agent security, or visibility and compliance tools: agents running on endpoints, telemetry collection, detection and policy logic. • Working knowledge of AI agent harnesses and frameworks — how agentic AI systems are built, evaluated, and deployed in production. • 4+ years of product management experience shipping complex technical B2B products, ideally developer tools or infrastructure. • Strong analytical skills; comfortable working with usage and cost data at scale. Nice to have • Experience with cloud cost management, FinOps, or infrastructure observability products. • Background in cybersecurity or threat-detection products. • Hands-on experience with LLM provider APIs (OpenAI, Anthropic, etc.) or token-based pricing models. • Hands-on experience with LLM routing, AI gateways, or model evaluation and benchmarking. Why PointFive • Founders with a track record Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage Your work directly shapes the product, the culture, and the go-to-market playbook. • Ground floor of a new category You'll help define AI token cost management as a product category from near-zero, with direct access to founders and R&D leadership on where TokenShift goes next.

Description Join the future of mobility. Help build the platform that's changing how cities move. NoTraffic is the world’s leading mobility platform, transforming intersections into connected infrastructure that improves flow, boosts safety, and prepares cities for the autonomous era. We're looking for a Senior Full-Stack Developer to join us at a pivotal moment of transformation. The Cloud Applications Group is leading a major shift that will define the future of NoTraffic, driving innovation and building scalable, cloud-native solutions Your day to day will look like: • Develop and oversee the maintenance of scalable and efficient back-end systems to support applications. • Construct responsive and user-friendly front-end interfaces utilizing contemporary web technologies such as Angular and React. • Manage the complete implementation of features from initiation to completion, encompassing both back-end and front-end development. • Assess the implications of system integration to guarantee seamless and effective project delivery. Requirements • Bachelor’s (or higher) Degree in Computer Science, Math, Engineering, or equivalent work experience. • 7+ years of experience in full-stack development, with proficiency in Backend Python, micro-services architecture and Django framework • 5+ years of experience in full-stack development, with proficiency in front-end (HTML, CSS, JavaScript, modern frameworks/libraries like Angular or React). • 3+ years of experience in designing and implementing APIs, web services, microservices, and serverless architectures. • Strong focus on delivering functional, responsive features. • Knowledge in relational databases and non-relational databases • Strong communication and collaboration skills. • Linux Nice to Have: • Experience With Postgres - advantage • Experience Clickhouse DB - advantage • Experience AWS - advantage

Description Join the future of mobility. Help build the platform that's changing how cities move. NoTraffic is the world’s leading mobility platform, transforming intersections into connected infrastructure that improves flow, boosts safety, and prepares cities for the autonomous era. We are looking for a hands-on Senior Revenue Controller to join our Finance team and take ownership of the operational accounting for revenue, COGS, inventory and related finance-operation processes. Your day to day will look like: • Own the monthly close for revenue, COGS, inventory and accounts receivable, including reconciliations, reserves, cut-off procedures and gross-margin analysis. • Implement and maintain revenue-recognition and contract-accounting policies, including contract and sales-order reviews, multi-component transactions, allocation of consideration, billing terms and deferred revenue. • Partner with Sales on contract terms, billing arrangements and non-standard transactions to ensure appropriate accounting treatment and support effective deal execution. • Work closely with Supply Chain throughout the inventory lifecycle, including inventory costing, reconciliations, reserves, movements and controls. • Proactively identify the need for changes in accounting treatments, estimates, cost-allocation methodologies or capitalization policies as the business and operating model evolve. • Support the development and implementation of new revenue streams and transaction structures by defining the required accounting, billing, tax, systems and control processes. • Prepare transfer-pricing calculations and true-ups, and coordinate the related intercompany billing and supporting documentation. • Own US sales-tax reporting, including reconciliations and coordination with external advisors. • Lead the company’s collection process in collaboration with Sales, including AR aging reviews, customer follow-up, dispute escalation, credit-risk monitoring and bad-debt analysis. • Maintain the integrity of revenue, COGS, inventory, margin and AR data used by FP&A, and communicate accounting developments that may affect budgets and forecasts. • Provide management with relevant analysis of revenue, gross margin, inventory and accounts receivable • Support ad hoc projects, reporting and analyses. • Implement appropriate AI-enabled processes to improve efficiency, data quality documentation and controls Requirements • CPA (internship in big 4) • At least eight years of relevant accounting experience, including significant responsibility for revenue accounting and monthly-close processes in a multinational complex environment. • Strong knowledge of US GAAP and revenue-recognition principles, including ASC 606. • Strong Excel skills and experience working with ERP systems; NetSuite experience is strongly preferred. • Experience with US sales tax, transfer pricing, hardware and recurring-revenue models is an advantage. • Proven ability to lead cross-functional process improvements and implement effective financial controls. • Fluent written and verbal English.

Description Join the future of mobility. Help build the platform that's changing how cities move. NoTraffic is building the next generation of software-defined traffic infrastructure. As our first General Counsel, you will own all legal, regulatory, and compliance matters and act as a core partner to the leadership team. This is a hands-on, high-impact role. You will build the legal function from the ground up while directly enabling revenue growth, managing risk, and supporting global expansion. Your day to day will look like: Commercial & Product • Lead all customer, partner, and channel agreements, with a focus on the North America market • Build scalable contract frameworks to accelerate deal velocity • Partner with product and R&D on compliance, data usage, and AI-based systems • Ensure alignment between product, regulatory requirements, and market needs Regulatory & Government • Navigate regulations across mobility, smart infrastructure, privacy, and AI • Engage directly with regulators and public sector stakeholders Legal Infrastructure, IP & Operations • Build and scale the legal function from the ground up • Establish processes, policies, and legal infrastructure • Lead all matters related to intellectual property, including patents and IP strategy • Support manufacturing compliance and lead legal aspects of supplier and vendor negotiations Requirements • 10+ years of legal experience • Combination of top-tier law firm and in-house experience at a high-growth tech company • Experience operating in a fast-growing tech company at $10M+ in annual revenue (SaaS and/or hardware) • Strong experience supporting commercial/SaaS businesses and hardware-based products • Proven experience supporting the U.S. market • Experience supporting venture-backed companies • Hands-on experience leading or participating in fundraising rounds

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 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 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 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 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: • 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: • 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.

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.