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2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The role is simple to state and hard to do well: make that optimization save more tokens without ever costing output quality or breaking a provider's cache. It's a research-heavy engineering role - you form theories from real traffic and ship the ones that prove out on live customer requests.

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, not 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.
Requirements:
Strong engineering fundamentals, and the judgment to tell when something is actually correct, fast and safe rather than just green in CI.
A real research instinct. You're fine with ambiguity, you form theories and drop them when the data says no, and you'd rather be right than clever.
You already build AI-native. Coding agents and LLM pipelines are part of your day, and you've used them to do work that used to take a team.
You know LLMs at a low level: tokenization, context windows, how caching actually behaves, streaming, tool calls, and how the various providers bill.
Staff-level range. You've carried big, vague pieces of work on your own and shaped how a team builds.
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new - and they ship into production, not 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.

03What 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 - and 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. Knowing exactly when an optimization actually wins - deterministic transforms, per-session decision pins, semantic dedup - is a lot of the job.
Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic - streaming, retries, 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 - AWS, GCP, Azure, containers, 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.
Requirements:
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.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The same systems work as our senior role, aimed at someone earlier in their career who gets real work done in a hard codebase with agentic tools. Systems programming has a reputation for being locked behind ten years of experience. We don't fully buy that. Someone with solid fundamentals, real curiosity about how machines work, and deep control of agentic coding tools can contribute here much sooner - as long as they have the judgment to check what the tools hand back. That judgment matters more here than almost anywhere: the agent runs as root and SYSTEM, and the codebase forbids unwrap, panic, and unchecked indexing, so you can't ship code you don't actually understand.

What you'll work on

Real pieces of the sensor across macOS and Windows: inventory, telemetry, the policy enforcement path, installers, and the integrations that hook into AI coding tools and browser extensions.

Moving through unfamiliar OS APIs quickly with agentic tools, then checking the result against the docs, the tests, and a real machine.

Small tools and tests that make the codebase easier for everyone to work in.

Tech you'll work with

The work is low-level systems development in Rust, close to the operating system across Windows, macOS, and Linux - memory, processes, files, and the OS internals that expose them. Alongside that, you'll lean hard on agentic coding tools; deep fluency with at least one is central to how we work, not a bonus. Expect to range across the stack - OS internals, AI tooling internals, CI, and a fair amount of reverse engineering - and to learn the parts you don't know yet.
Requirements:
What we're looking for (the part that matters most)

You've built real, working software and can show it. Projects that run count for more than a CV.

Deep, hands-on control of at least one agentic coding tool: you steer it, feed it the right context, and know when to trust it and when to verify.

Solid fundamentals (memory, processes, files) and enough systems knowledge to read what the tools produce and catch what's wrong.

The discipline to verify. Here, it compiled is not the same as it's correct.

Genuine curiosity about operating systems and low-level work, and drive to learn the parts you don't know yet.

Explicitly not required

A specific degree, a set number of years, or prior Rust or systems experience in a paid job. If you taught yourself this with good tools, that's the whole point.
This position is open to all candidates.
 
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15/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company, "It's all about the user. All of them." We're passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they're going. we are building cutting-edge solutions at the intersection of travel, expense, payments, and AI. As a leader in the AI for Travel domain, we are using intelligent, practical AI experiences to make business travel simpler, faster, and more reliable for travelers, travel managers, finance teams, and support teams.
We are constantly striving to make our systems reliable, scalable, and simple to operate so our services are available to travelers when they need them most. With our continued growth, we have exciting challenges ahead and we're looking for a Senior Site Reliability Engineer to join our team in Tel Aviv. This role blends classic SRE ownership with pragmatic AI SRE work: you will build and operate the platforms, automation, observability, and incident response practices that keep our company reliable, while helping teams use AI solutions, AI providers, and their APIs safely and dependably.
This is a hands-on engineering role, not a research role. You will partner with product, platform, data, security, support, and incident response teams to make production systems and AI-powered experiences more resilient. You will use software engineering, infrastructure as code, SLOs, telemetry, provider observability, and automation as your main tools, and you will apply AI where it creates measurable reliability value rather than novelty.
This position is based out of our new Tel Aviv office.
What You'll Do:
Support AI-based application solutions where reliability matters. Partner with the development teams building AI-powered travel experiences to support the development and production operation of their solution.
Work with AI solutions, providers, and APIs. Partner with teams integrating AI capabilities and providers, with attention to API reliability, authentication, quotas, rate limits, latency and provider-specific operational constraints.
Troubleshoot AI tools and provider issues. Diagnose failures across AI-powered workflows, provider APIs, configuration, permission errors, degraded responses and related areas.
Operate reliable production platforms. implement and run cloud infrastructure,and help product teams move quickly without compromising reliability.
Improve observability. Build dashboards, alerts, traces, logs, and runbooks that make service health clear, actionable, and tied to SLOs and customer impact.
Apply AI to SRE workflows. Prototype and productionize AI-assisted systems that create effective and efficient operations
Automate operational toil. Create tools, workflows, and automation that remove repetitive manual work and make operational knowledge easier to use.
Requirements:
5+ years of experience as a Senior SRE, Infrastructure Software Engineer, Production Engineer, or DevOps Engineer.
3+ years of experience operating production, 24x7 customer-facing systems.
Hands-on experience delivering production infrastructure, platform tooling, and automation used by engineering teams.
Strong software engineering skills in Python, Go, Java, or a similar language, with a bias toward production-quality code, tests, monitoring, and documentation.
Experience with cloud infrastructure, container orchestration, Linux systems, networking, CI/CD, and infrastructure as code such as Terraform or CloudFormation.
Experience building, tuning, and automating observability systems such as Grafana, Prometheus, New Relic, Datadog, Splunk, or similar tools.
Familiarity with SLOs, incident response, on-call practices, root cause analysis, and blameless postmortems.
Practical experience or strong interest in AI solutions, AI providers, agents, AI APIs, provider integrations, or AI-assisted internal tools.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring for leverage, not years. If you can wield agentic coding tools better than most senior engineers - and you've shipped real, working software with them - we want to talk, regardless of how long you've been doing this or where you learned it. This role is designed for someone earlier in their career who, armed with the right tools and the judgment to use them, delivers like someone far more senior.

You'll work across the whole stack: a single feature might run from a Drizzle schema change, through a Hono endpoint, to a new React screen. The agentic toolchain is how you cover that ground - but the judgment to review, verify, and take responsibility for what the tools produce is what makes it work.

What you'll work on

Full, thin vertical slices - backend to frontend - shipped behind previews and a merge queue.

Extending and hardening our agentic-dev toolchain: skills, workflows, and MCP servers the whole team relies on.

Whatever's highest-leverage that week - you'll move across the codebase more than most.
Requirements:
Demonstrated, shippable output built with agentic tools. A portfolio, GitHub, or side projects that actually work - this counts more than any credential.

Deep, hands-on control of at least one agentic coding tool: you write your own skills and commands, build MCP servers, orchestrate multi-agent work, engineer context deliberately, and know precisely when to trust the model and when to verify.

The judgment to review AI-generated code critically. You catch the subtle bug the model slipped in, and you can explain why it's wrong - you don't merge what you can't stand behind.

Solid fundamentals and real debugging chops. When the agent gets stuck, you don't.

Curiosity across the stack. You're comfortable being full-stack precisely because these tools extend your reach.
This position is open to all candidates.
 
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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
We are a fast growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. We are seeking a Prompt Engineer to join our product team and help take our AI-powered products to the next level. This role is built for a junior engineer who wants to be at the forefront of AI and prompt engineering. You will be responsible for designing, validating, monitoring and productionizing prompts, LLM workflows, and AI agents. As well as this, you will write the functions, tools, MCPs, and integrations inside our codebase that power our agents. The ideal candidate will possess excellent organizational and communication skills, a strong sense of ownership, and the ability to collaborate effectively across many departments and teams. Most importantly, you will be genuinely passionate about modern AI tools and the practical adoption of LLMs in product development: you stay on top of what's new, experiment constantly, and bring fresh ideas to the team. This is a position based out of our Tel Aviv office or Jerusalem office, and will report to the LLM team lead.
 
What you will be responsible for:
* Design, prototype and iterate AI agents and LLM workflows from ideation to execution
* Monitor live systems (dashboards, A/B tests, validation pipelines), triage issues, and implement fixes for hallucinations and regressions
* Write and maintain functions, APIs, and integrations within our codebase to support agent capabilities
* Build and maintain LLM-as-judge frameworks to continuously evaluate quality at scale
* Collaborate with stakeholders across product, marketing, CX, and R&D teams


The top candidate will also have:
* Hands-on experience with using LLM pipelines in a product context
* Experience with Langchain, LangGraph, n8n, or similar tools
* Experience working with chatbots or conversational AI products
* Writing experience, such as copywriting, personal writing, or UX writing background


Why you should join us:
* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: work directly with APIs from Google, facebook, Microsoft, and more
* Be part of a rapidly scaling recently acquired company
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* We are committed to setting each other up for success. As a member of our team, you will work in an environment that encourages growth, initiative taking, and continuous mutual feedback in order to reach your full potential.
* Wolt Benefits and lots of yummy office treats and coffee to keep you fueled!:-)
Are you the one? apply!
Requirements:
* Native level verbal and written English with excellent communication, presentation, and interpersonal skills
* BSc in Computer Science graduate from a leading Israeli or international university
*  Genuine, demonstrated depth in AI, LLMs, and agentic systems (e.g. MCP, multi-agent orchestration, eval harnesses, tool use), whether from professional work, personal projects, open source, or university coursework
* Strong ownership mindset
* Creative problem solver with a strong sense for business needs
* Strong analytical and troubleshooting skills, comfortable working with data to drive decisions
This position is open to all candidates.
 
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30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
Were looking for a Technical Program Manager who thrives in the middle of the action - someone who gets energized by complexity and turns it into clarity.
In this role, youll take complex, cross-functional engineering projects from messy beginnings to clean finishes, and drive every stage: scoping, planning, execution, delivery, and retrospective. You see AI not as a shortcut, but as a core part of how great program management gets done, and you actively design your workflows around it.
This is an AI-native environment - models ship fast, priorities shift, and what's possible changes week to week. You'll thrive here if ambiguity is fuel, not friction.
In this role, you will be responsible for:
Drive end-to-end ownership of complex, cross-functional engineering projects - from the first brainstorming session to post-launch retro
Design and supervise agentic workflows that automate status collection, risk surfacing, dependency tracking, and comms - so you operate at a higher level, not just faster
Build and manage AI-assisted program workflows that reduce coordination overhead and improve program visibility at scale
Spot bottlenecks before they become fires, and personally drive them to resolution
Map and manage cross-team dependencies so nothing blindsides anyone
Build and track key metrics that give real visibility into how engineering is performing
Apply sound judgment on escalations, stakeholder reads, and cross-team trust - the things AI surfaces but cant resolve
Identify opportunities for collaboration and innovation across teams - connecting dots others miss
Constantly communicate progress and status to stakeholders and management
Requirements:
You have 5+ years of technical program/project management experience
Youve owned large-scale, cross-functional projects end-to-end
You have hands-on experience with or are actively building agentic workflows - and are excited about what it means for how TPMs operate at scale
You build and manage AI-assisted workflows that reduce coordination overhead and improve program visibility - not just use AI tools ad hoc
Ambiguity doesnt slow you down - you build the structure, make the calls, and keep things moving
You have a technical development or QA background (a big plus)
Agile and Kanban arent buzzwords to you - theyre tools you actually use
You communicate clearly and concisely - in writing, in meetings, and in the hallway
People genuinely enjoy working with you, even under pressure
You have a figure it out attitude and a low tolerance for things being stuck
Strong analytical skills - you can zoom out to see the big picture and zoom in to understand the technical details
B.Sc or M.Sc in Computer Science or equivalent
High proficiency in English
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
AI-Supported Engineering: Cursor, Claude, and our company coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
What You'll Actually Be Building
Own end-to-end build and deployment of agentic AI solutions for our company's most strategic customers - from architecture decisions through production handoff.
Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across our company Data 360, Snowflake, Databricks, and customer-specific platforms.
Resolve the technical blockers that other engineers can't - data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
דרישות:
You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
You have a degree in Computer Science or a related field
You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt.# המשרה מיועדת לנשים ולגברים כאחד.
 
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16/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Required Software Engineer
We believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, weve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
Were a small, highly-owned team at the heart of how engineering scales. Our work is challenging to define, and thats intentional.
We own the cloud infrastructure. We manage Kubernetes clusters, continuous deployment (CD) pipelines, and shared components like Kafka and Debezium. We also provide the necessary glue to ensure the organizations production systems are reliable and self-sufficient. When tasks are manual, operational, or rely on tribal knowledge, we transform them into scalable solutions, such as services, operators, or shared libraries. Our approach is production-first. We prioritize shipping products that must survive, scale, and improve over time with minimal intervention.
Responsibilities:
Youll transform operational tasks, currently residing in runbooks, Slack threads, and minds, into robust, observable, and maintainable systems. This involves:
Designing and constructing Kubernetes operators and infrastructure microservices that enable self-healing and self-management of the infrastructure.
End-to-end ownership of shared infrastructure components like Kafka and Debezium, facilitating safe and independent consumption by the rest of the R&D team.
Developing continuous delivery (CD) pipelines and deployment workflows that minimize time-to-deliver and eliminate bottlenecks between teams.
Designing systems with self-service in mind, allowing other teams to expedite their processes without initiating tickets.
Measuring key performance indicators (KPIs) such as ticket volume, hours of manual work per week, time-to-deliver, and the level of friction experienced by consumers.
This transformation goes beyond automation through scripting languages like Python or Bash. It demands genuine software engineering expertise, encompassing API design, extensibility, failure modes, observability, and upgrade paths.
Requirements:
5+ years of professional software engineering experience
Bachelors degree in Computer Science, Computer Engineering, or a related field (Preference for top-tier universities).
Proven experience building and operating cloud-native applications (AWS preferred), with a deep understanding of cloud design patterns.
Software engineer thinking: you will design for maintainability, you think about interfaces, you care about the experience of whoever uses your work next - whether that's another engineer or a future version of yourself.
Solid programming skills - Typescript / C# / Java / Go / Python
Fluency with GitOps / CD patterns and the tooling around them (Argo CD, Helm, etc.)
Production-first as a state of mind - This sometimes require to function under context switch and several efforts that needs to run in parallel.
Capability to turn experience into high quality designs - is measure by how you think about failure, observability, consumption and rollout strategy.
Strong sense of ownership - You don't close the ticket and move on. You follow a thing through until it's right, and you notice when something adjacent is broken even if it's not yours.
Think systems and KPIs - You understand that a good solution to a recurring problem should eliminate the problem, not just handle it this time. You ask "what does success look like in 6 months?" before you write line one.
Nice-to-Have:
Nice to have: experience building Kubernetes operators (controller-runtime), platform-adjacent work, designing internal services consumed by other engineering teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8741170
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
21/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Staff Engineer, you will serve as the technical anchor for a critical business domain. Your mission is to look beyond the immediate sprint and shape the long-term architectural vision that allows our product to scale, evolve, and deliver massive value.

You will operate at the intersection of Business Strategy and Deep Tech. You wont just be senior support; you will be a strategic partner to Product Leadership, defining how we solve our biggest problems. You will act as a Force Multiplier-tackling the most complex cross-team challenges while simultaneously elevating the skills, velocity, and quality of every engineer around you.

Key Responsibilities
Own the Technical Vision: Define and drive the architectural roadmap for your product domain. You will anticipate scaling bottlenecks, design resilient distributed systems, and ensure our tech stack supports the next 10x of business growth.
Solve the Hard Problems: Tackle complex, cross-cutting technical challenges that span multiple teams or services-whether its migrating a legacy monolith, optimizing high-throughput data pipelines, or defining new API standards.
Be a Force Multiplier: Mentor Senior Engineers and Tech Leads, helping them grow into the next generation of leaders. You will introduce engineering patterns, tools, and practices that make the entire organization faster and safer.
Partner with Product: Work directly with Directors and VPs of Product to validate feasibility early in the discovery phase. You will translate ambitious business goals into pragmatic technical strategies.
Remain Hands-On: While you lead strategy, you are still a builder. You will code the critical paths, prototype complex solutions, and set the standard for code quality and review.
Requirements:
Requirements
8+ years of software engineering experience, with a proven track record of technical leadership in high-scale SaaS companies.
Architectural Mastery: You have battle scars from designing and maintaining large-scale distributed systems. You deeply understand the trade-offs between Monoliths vs. Microservices, SQL vs. NoSQL, and Sync vs. Async communications.
Force Multiplier Mindset: You measure success by the impact you have on others. You have experience mentoring senior engineers and influencing technical decisions across teams without necessarily having manager authority.
Full Stack Fluency: You have a deep understanding of the entire web stack-from database internals and query optimization to the nuances of modern frontend frameworks and browser performance.
Pragmatic Leadership: You prioritize business value over shiny new toys. You know when to incur technical debt to move fast, and exactly when (and how) to pay it back.
Strong Cloud Native Skills: Proficiency with AWS, Kubernetes, and CI/CD workflows. You understand how to build systems that are observable, secure, and operationally excellent.

Bonus points:
Experience in the eCommerce ecosystem or high-traffic B2B2C platforms.
Background in modernizing legacy systems while maintaining uptime.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8747834
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Security Researcher, you'll own and evolve the core of the platform: the frameworks and logics that turn fragmented, cross-surface identity data into precise, high-signal insight. You'll work directly with real-world data to find emerging attack patterns, reason about privilege and exposure, and convert what you learn into intelligence that tells customers what's actually risky - and what to do about it.
Identity is also the fastest-moving attack surface in the enterprise right now. The explosion of non-human identities and autonomous AI agents is rewriting what "who has access to what" even means, and you'll be at the front of it - defining how discovers, scores, governs and secures these identities before the rest of the market has a vocabulary for the risk.
You'll also shape voice in the field. Through original research, published findings, and technical thought leadership, you'll influence how practitioners and analysts understand identity risk as the perimeter dissolves.

What you will Do:
Drive research end-to-end - from hypothesis and exploration all the way through to the intelligence and logic that ship into the platform and makes impact on our customers.
Translate deep expertise in identity and security into the analytical engine that drives how reasons about risk, governance, and access decisions across organizations.
Create and own knowledge - the content, logic and intelligence behind every insight made, while setting and maintaining the quality, accuracy depth and coverage of the platform.
Pioneer approach at the cutting edge of a category being reinvented - as the identity foundations are rebuilt for a new world
Shape the field's understanding of identity through original research and technical thought leadership, while raising the research bar across the team and delivering top-tier value to our customers.
Requirements:
What you will bring:
5+ years of hands-on security research experience, with a track record that demonstrates depth across identity, access control, or adjacent threat domains.
Low ego, high impact - you share findings freely, measure success by the team's impact and you are value-driven, Willing to roll up your sleeves for the foundational work creating knowledge and insights in order to provide real value to real customers.
Innovative and forward thinking - Continuous desire to learn, explore and create.
The instinct to find what others miss: you approach identity attack surfaces, NHI exposure, and AI agent behavior with genuine curiosity and a willingness to go where the research leads.
A collaborative default - happy to share and work alongside product, engineering, and go-to-market teams in order to translate raw research into intelligence that sharpens Oak's platform and customers' understanding of their identity risk.

Nice to have:
A history of original, published work - conference presentations (Black Hat, DEFCON, or equivalent), blog series, or white papers that has moved the needle and made impact.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8767738
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