Jobs in Tel Aviv-Yafo

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM, Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As an Engineering Manager on Husky, you will lead one of a few closely collaborating teams that work directly on Husky’s internals. We own the full lifecycle of events stored by our Event Platform – whether it’s managing the ingestion of over 100 million events per second exactly-once, optimizing the persistence layer with lightning-fast compaction, tweaking our columnar format, timely deletion across hundreds of thousands of customer tables, or building the metadata service that enables hundreds of thousands of queries per second – you will be responsible for the growth and success of a team constantly meeting new scalability requirements driven by Datadog’s growing customer base and suite of products. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Manage a team of software engineers ranging from new grads to senior engineers, focusing on career development, inclusivity, and high impact • Be a technical leader of the team; while the role may not involve frequent hands on coding, you’ll be reviewing architecture decisions, RFCs, and pull requests and ensuring what the team ships is high quality • Partner with product teams to evaluate use cases, ensure smooth implementation, and prioritize new platform capabilities. • Share on-call responsibilities with the rest of the team and ensure a culture of operational excellence • Scale a petabyte-scale database to an exabyte-scale one Who You Are: • A software engineer at heart with previous experience leading software engineering teams and a track record of delivering high-quality software products, preferably with some hands on experience with Java or Go and a background in distributed systems. • Experienced with being on-call, leading incident responses, writing post mortems, and driving remediation efforts • An excellent leader with strong interpersonal skills, with experience in career development and performance management. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We’re looking for an Engineering Manager to lead our Sensitive Data Scanner (SDS) Telemetry team. The SDS group’s mission is to be the world’s easiest-to-use tool to discover, classify, manage, and report sensitive data risks across cloud, on-premise, and code environments. This team builds and scales the detection capabilities that scan all telemetry data flowing into Datadog — logs, APM spans, and RUM events — operating in streaming, at processing time, and at very large scale. You’ll lead a small, close-knit team based in Paris, with the opportunity to shape how the team grows as SDS Telemetry’s scope expands. It’s a chance to combine hands-on technical leadership with direct customer and product impact in the security and observability space. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: • Lead and grow a team of engineers building real-time sensitive data detection across Datadog’s Logs, APM, and RUM telemetry pipelines • Partner closely with the Logs, APM, and RUM teams, plus Datadog’s Trust & Safety team, to align on roadmap and integration priorities • Shape product direction by working closely with Product, grounding decisions in customer needs and business impact • Stay hands-on: contribute to design decisions and participate in the team’s on-call rotation • Recruit, mentor, and develop engineers as the team grows beyond its initial size • Help build a strong engineering culture as part of Datadog’s broader Sensitive Data Scanner group Who You Are: • You have experience building and shipping revenue-generating products, with strong product acumen and a customer-first mindset • You have hands-on experience with Go and/or Java, and a track record building distributed, streaming systems at scale • You have experience managing engineers — or are ready to step into your first formal management role — and know how to set goals, give feedback, and help a team grow • You measure success through customer and business outcomes, not just output shipped • You’re comfortable weighing tradeoffs between speed and correctness, ideally from experience in a fast-moving environment Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Source Code Integration enables Product teams at Datadog to develop features that leverage our customers’ source code. This brings the platform closer to developers, as it helps them relate their telemetry to code to run automated investigations, debug their services with stack traces and profiles, scan their code for security issues, or make proactive fixes, among others. The team owns all the platform services, infrastructure and integrations required to access and synchronize our customer repositories in a secure, reliable and efficient manner. We are looking for a hands-on technical leader to drive the growth of our platform, as Datadog shifts left and becomes more developer-friendly and AI-ready. In this role you will lead the growth of our platform to support an increasing number of high profile features and teams, and work with a team of engineers of varied experience levels to shape our roadmap and deliver impactful solutions at scale. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Lead and cultivate a team of engineers of diverse experience levels, including performance management and career development • Lead technical and strategical discussions to better understand the challenges and opportunities faced by our team and our stakeholders • Own and drive the relationships with product teams and major stakeholders, balancing competing requests with long term investments, and prioritizing impact across the whole platform • Run a lightweight process to pace and track what we work on. Support the progressive delivery of high quality work through demos and frequent iteration • Stay in touch with your team’s systems, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues • Support both internal and external customers resolve their issues, and find systematic solutions that elevate our platform and integration experience What we’re looking for: • A good collaborator, an enabler, a natural leader that puts people first • A backend engineer at heart, with experience building robust systems composed of multiple services, data streams and stores operating at scale • Significant experience with major backend technologies (e.g. Go, Python, or Java, PostgreSQL, Kafka), event driven architecture and or distributed systems • Experience running platform services, comfortable making tradeoffs and balancing short term impact with long term sustainability. Proven ability to work closely with product and internal teams to deliver solutions at scale • Passion to work in a fast-paced, high-growth environment providing leadership and direction for a highly technical team • Positivity and proactivity towards AI. Experience using agentic tools for development and analysis Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • High income earning opportunities based on individual performance • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Sales training in MEDDIC and Command of the Message • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global Spring Health benefits for employees and dependents age 6+ • Competitive global benefits • Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Onsite About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog's Tel Aviv engineering site builds across some of our fastest-moving product areas — from Product Analytics, to Universal Service Monitoring, to Security Monitoring, to the Software Delivery tools that help engineers everywhere ship and operate software safely. It's a site with real engineering depth, and we're investing in the on-site senior leadership to match it. We are looking for a Director of Engineering, based in Tel Aviv, to lead a multi-team engineering organization in one of these areas, and help shape the site as it grows. In this role, you will partner closely with product managers and with engineering leaders across Tel Aviv, Paris, and the US to shape the roadmap; grow and develop the team to match the business needs; raise the bar on engineering practices and craft; and play a central role in building the culture of a site we're investing in for the long term. At Datadog, we place value in our office culture — the relationships it builds, the creativity it brings to the table, and the collaboration of being together. This role is based in our Tel Aviv office, where being present on site is central to anchoring and growing the team. What You'll Do: • Manage and grow a team of talented engineers, making sure they deliver high-quality, timely work and that they're happy, motivated, and developing in their careers • Hire and develop senior talent, engineers and managers alike, raising the seniority bar on site as we scale • Grow and develop a team of engineering managers — coaching them as leaders and building the layer of leadership the site needs as it scales • Partner with product managers and designers to shape the future of the product • Work with engineering leaders in Tel Aviv, Europe, and the US to deliver cross-cutting projects across a multi-hub organization • Help shape the future of the Tel Aviv site and the broader engineering organization Who You Are: • You are a product-building leader with real product sense, comfortable working hand in hand with product and design to decide what to build, not just how to build it • You came up through engineering and can earn the trust of senior engineers in a fast conversation; you favor breadth and adaptability, and you can ramp quickly into a technical domain you didn't start in • You integrate AI into how you lead and how your teams build, treating AI-first thinking as core engineering practice rather than a feature bolted onto the product • You have hired, grown, and developed engineering teams, creating long-term plans for people's growth and motivation • You have managed managers — you've hired, coached, and developed engineering managers, and led an organization with multiple layers of leadership beneath you • You have operated in multi-geography companies at scale, and you can read and work effectively across different sites and company cultures • You want to be the senior engineering leader on the ground in Tel Aviv — setting the technical and cultural bar, and building a site rather than inheriting a finished one • You have a customer-focused mindset and a relentless drive to build products that address real needs • You bring real depth in at least one of our areas — web and product analytics, agentic or developer-experience products, low-level systems and networking, or security engineering Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Commercial Account Executive As an Account Executive (AE) on our Commercial Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across small to midsize markets. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. AEs have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: • Focus on net-new logo acquisition via outbound activity • Become a Datadog expert through continued product and sales trainings • Manage the full sales cycle, including technical demonstrations and negotiation • Collaborate with Sales Development Representatives to drive top of funnel activity • Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end-users Who You Are: • Curious, driven, and motivated as a sales person • Creative in how you map and break into accounts • Able to learn from feedback and champion a growth mindset • Comfortable operating in a highly technical, fast paced environment • Experienced in carrying quota, with a proven track record of success Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: • High income earning opportunities based on self performance • New hire stock equity (RSU) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Sales training in MEDDIC and Command of the Message • Intra-departmental mentor and buddy program for in-house networking • An inclusive company culture, opportunity to join our Community Guilds • Generous global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: DevOps Engineer • Managing Kubernetes clusters across multiple environments and regions • Owning infrastructure as code for all resources • Maintaining and improving CI/CD pipelines and GitOps-based deployments • Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors • Building out monitoring, alerting, and observability • Debugging production issues across services • Managing cloud costs and capacity planning • Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for • ~3+ years in a DevOps or platform engineering role, working in production environments • Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale • Strong Kubernetes experience in a managed cloud environment • Proficiency with infrastructure as code (Terraform or similar) • Experience with GitOps-based deployment workflows • Built or maintained observability stacks (logging, metrics, alerting) • Experience handling production incidents calmly and methodically Nice to have: • Multi-region deployments • Search infrastructure • Data pipeline experience (streaming, warehousing) • Proxy/networking infrastructure at scale Why Tavily? • Full ownership — small team, you own the entire infrastructure, not a slice of it • Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests • AI-native company — your infra directly powers AI agents used by leading companies in the space

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Data Scientist: We are hiring a Data Scientist to join our data team, which plays a central role in shaping cross-company decisions across GTM, Product, and Business functions. Responsibilities: • Develop, implement, and maintain machine learning models on business-related data • Apply statistical methods to analyze large, complex datasets and extract actionable insights • Partner with stakeholders across Product, GTM, and Business teams to identify opportunities and solve high-impact problems • Support deployment, evaluation, and monitoring of models in production environments Requirements: • 3+ years of experience in Data Science • Strong statistical background • Solid understanding of classical machine learning models and algorithms • Experience working with business data (e.g., product, marketing, revenue, user behavior) • Proficiency in Python and SQL • Experience with modern AI coding tools (e.g., Claude Code, Cursor) • Experience working with Git Tech stack: • Data warehouses and platforms such as Snowflake and/or Databricks – required • Experience working in modern data environments and pipelines Education: • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required • Master’s degree in a relevant field – preferred Preferred qualifications: • Experience working in production environments • Strong problem-solving skills and ability to work in a cross-functional environment • This role is ideal for someone who wants to work at the intersection of data, product, and business, and have a direct impact on company-wide decisions.

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed. We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role: We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale. This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time. The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time. You’re welcome to work hybrid from Tel Aviv, Israel. Your responsibilities will include: • Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. • Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. • Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. • Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. • Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. • Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. • Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria. We expect you to have: • 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. • Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. • Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. • Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. • Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. • Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. It will be an added bonus if you have: • Experience in search, information retrieval, NLP, or adjacent domains. • Background in API-first or developer-platform businesses with both PLG and enterprise motions. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. • People management or mentoring experience (building the skills of other PMs). Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and work-life balance • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Tavily/Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI.

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed. We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. About the Role: We are looking for an IT & Security Analyst to join our team. This role sits at the intersection of IT operations, information security, and governance — ideal for someone who enjoys variety and problem-solving. You'll manage our endpoint and SaaS environment, support security operations, and contribute to our compliance and risk management program. Key Responsibilities: IT Operations • Administer Microsoft Intune for endpoint management, device enrollment, and compliance policies. • Manage user access provisioning and deprovisioning following least-privilege principles. • Maintain the SaaS application inventory, including license management and access reviews. • Support onboarding and offboarding, including identity lifecycle management. Information Security • Support the vulnerability management program — tracking, prioritizing, and coordinating remediation. • Monitor threat intelligence feeds and translate findings into actionable recommendations. • Assist with incident response and security tooling administration. GRC • Support compliance initiatives aligned with frameworks such as SOC 2, ISO 27001, or NIST. • Assist with the third-party risk management program, including vendor assessments. • Complete security questionnaires from customers and partners. • Maintain security policies and support evidence collection for audits. Required Qualifications: • 2+ years in an IT, information security, or combined IT/security role. • Hands-on experience with Microsoft Intune and endpoint management. • Experience managing user access and permissions in a corporate environment. • Familiarity with SaaS platforms and IT asset management. • Exposure to vulnerability management tools and processes. • Understanding of threat intelligence concepts. • Familiarity with at least one compliance framework (SOC 2, ISO 27001, NIST, CIS, etc.). • Experience with security questionnaires and/or third-party risk assessments. • Strong written and verbal communication skills.

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally. About the role We're looking for a Group Product Manager (GPM) to lead a team of Product Managers and own a portfolio of enterprise AI solutions delivered on the Unframe platform. This is a highly ambiguous, fast-paced environment where many problems are not predefined. Working directly with customers, you'll deeply understand their needs, identify the right problems to solve, and lead your team in building solutions that deliver meaningful business value. We work on-site from our offices in Tel Aviv. You will operate as a product leader with end-to-end ownership, shaping opportunities and driving 0→1 products and POCs from first idea to deployed solution. What you’ll do • Lead a team of Product Managers working on complex, high-impact AI solutions for enterprise customers • Work closely with customers to find the right problem to solve (the use case with the clearest ROI) and define the success metrics before building • Operate in high ambiguity, shaping opportunities where requirements are not clearly defined • Drive the delivery of new solutions from early stages to production, making key product and trade-off decisions across speed, stability, and scope • Own a portfolio of solutions across one or more enterprise customers, setting priorities across multiple parallel engagements • Support your PMs in the day-to-day of running their solutions across different customers: help them prioritize, make trade-offs, and unblock them so product implementations and solutions push forward • Balance speed of execution with long-term quality, reuse, and product thinking • Identify patterns across solutions and push for reuse and productization, working closely with the Platform team • Mentor and develop your PMs, growing their product judgment and helping them operate effectively in a fast-paced, ambiguous environment What we’re looking for • Experience working on complex systems and with enterprise customers, navigating competing needs and constraints (required) • 7+ years of product management experience, including 2+ years leading Product Managers, in high-growth or complex environments • Experience managing strong PMs, setting direction while empowering ownership and independent decision-making • Ability to operate in ambiguity, define problems, and lead teams in delivering new solutions from early stages to production • Proven track record of driving products or systems from concept to real-world impact, balancing speed, quality, and scale • Strong cross-functional leadership and communication skills, working closely with engineering, AI, GTM, and customers Why join us This isn't a typical product role. You won't inherit a roadmap. Every engagement starts with a real enterprise customer and a real problem. The hardest part of the job is finding the right one: the use case that delivers true business value, with a clear ROI and the success metrics you define up front. Then you take it from first idea to a deployed solution. You'll work in a true 0→1 environment, shipping AI products to Fortune 500 customers in days, not months. From day one you'll have real ownership: shaping direction, making the product calls, and leading a team through ambiguity. You'll work closely with founders and senior leaders in a fast-moving company where things actually get built.

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the role: As a Senior Software Engineer you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers. What you'll do: • Build and scale full-stack features across frontend, backend, and AI agents. • Develop AI agents using Claude, Gemini, and OpenAI APIs. • Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use. • Define engineering standards and contribute to architecture decisions. • Work closely with product, engineering, and research teams. What we're looking for: • 7+ years of hands-on full-stack development experience. • Strong experience with React/Vue, TypeScript, and Python. • Experience working with LLM APIs (Claude, Gemini, OpenAI) and AI agent development. • Experience with AWS, GCP, Kubernetes, PostgreSQL, Terraform, Airflow (MWAA), or EMR. • Product mindset with experience building scalable, production-ready systems. • Experience in fast-paced startup environments. • Strong communication skills and the ability to thrive in ambiguous environments. Nice to have: • Engineering management experience alongside a strong individual contributor background. • Experience with harness engineering. • Experience building security-sensitive infrastructure (sandboxing, workload isolation, credential management, or access control). • Experience deploying LLM or AI agent systems in enterprise or regulated environments. Why join us? • Real ownership from day one. Drive decisions, shape ideas and make them work. • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. • You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. With over $100M in TCV secured within 12 months, and a $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the Role As a Bookkeeper at Unframe, you'll take ownership of our day-to-day accounting operations, ensuring accurate financial records and smooth financial processes across our global operations. This is a hands-on role that combines full-cycle bookkeeping with a strong focus on leveraging AI tools to streamline processes, improve efficiency, and reduce manual work. What You'll Do • Own the full bookkeeping cycle, including journal entries, accounts payable and receivable, and bank reconciliations. • Manage accounting operations using NetSuite, Mesh, and Dokka, ensuring accurate financial records. • Handle vendor payments, employee expenses, payroll reconciliations, and intercompany transactions. • Manage monthly closing activities, including accruals, prepaid expenses, and account reconciliations. • Prepare VAT reports and support statutory reporting and annual audits. • Collaborate with internal teams, external accountants, and auditors to ensure smooth financial operations. • Improve and scale bookkeeping processes, leveraging AI tools such as Claude to increase efficiency and reduce manual work. What We're Looking For • 3+ years of hands-on experience in full-cycle bookkeeping, including month-end closing and financial reconciliations. • Hands-on experience with NetSuite, Mesh, and Dokka. • Previous experience in a technology company or startup, with the ability to independently manage end-to-end accounting operations. • Strong proficiency in AI tools such as Claude, with demonstrated experience applying AI to day-to-day work and improving operational efficiency. • Solid understanding of accounting principles, financial controls, and reporting requirements. • Advanced Excel/Google Sheets skills and strong English communication skills. • High level of ownership, accuracy, and ability to work independently in a fast-paced environment. Nice to Have • Experience working in a global, multi-entity environment, including intercompany transactions and reconciliations. • Experience with MCP integrations and connecting AI tools to external systems. Why join us? • Real ownership from day one. Drive decisions, shape ideas and make them work. • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. • You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally. About the role We're looking for a Director of Support Engineering to build and lead Unframe's technical support function from the ground up, based in our Tel Aviv office. You'll be the founding leader of our Support Engineering organization, building the processes, tooling, and team that connect our enterprise customers with Product and Engineering. Reporting to the VP Product Growth, you'll combine deep hands-on technical expertise with building an AI-native support operation designed to resolve complex issues independently and scale efficiently. What you'll do • Build the Support Engineering function from scratch, including processes, workflows, SLAs, escalation paths, and tooling. • Lead technical support for global enterprise customers, owning complex issues, escalations, and customer communication. • Investigate technical issues hands-on, including debugging APIs and integrations, analyzing logs, and performing root cause analysis. • Hire and develop a team of Support Engineers capable of resolving issues independently, minimizing reliance on Engineering. • Build an AI-native support operation, leveraging LLMs, AI agents, and intelligent workflows to automate issue investigation, troubleshooting, and knowledge management. • Build and maintain a living knowledge base, partnering with Product and Engineering to identify recurring issues and drive continuous improvements. What we're looking for • 6+ years of experience in technical support, support engineering, or similar customer-facing technical roles, including experience leading technical teams. • Proven experience building or significantly improving support functions, ideally in a startup or scale-up environment. • Experience supporting global enterprise customers, ideally Fortune 500. • Strong hands-on technical capabilities, including troubleshooting production issues, APIs, integrations, logs, and complex system behavior. • Hands-on experience building AI-powered workflows or agents using LLMs and modern AI tools, with a strong understanding of how AI can transform technical support operations. • Excellent written and verbal English communication skills, strong ownership, and the ability to prioritize under pressure. • Comfortable combining hands-on technical work with team leadership. Why join us? You’ll have the opportunity to build and shape the support function at Unframe from the ground up, working directly with global enterprise customers and alongside Product, Engineering, and company leadership. This is a highly impactful role for someone who enjoys combining customer ownership, operational thinking, and technical problem-solving in a fast-moving AI company. If you like creating structure where none exists yet and want to influence both customer experience and product direction, this role will give you exactly that.

About Us Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally About the Role As an AI Product Manager on our team, you’ll work directly with customers and internal teams to define, scope, and deliver AI-powered solutions using Unframe’s platform. You’ll bridge product thinking with real-world use cases, enabling fast, reliable delivery of custom solutions built on a shared core. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose. This is an opportunity to work with top-tier global customers and solve real, high-impact problems. What you’ll do • Translate customer problems into structured solution plans using Unframe.ai’s platform • Own the delivery of end-to-end projects in collaboration with engineers and AI specialists. • Write detailed specs and define prompt/context structures for solution logic. • Prioritize requirements and manage tradeoffs across speed, stability, and scope. • Work closely with the Platform team to surface reusable product patterns. • Serve as the voice of the user — from enterprise operators to domain experts. What we are looking for • 4+ years of experience in product management or technical delivery roles. • Experience working closely with engineering teams and technical products. • Ability to manage complex projects with multiple moving parts. • Strong written communication, systems thinking, and attention to detail. • Fluent English speaker - written and verbal communication must be excellent. • Comfortable working in fast-paced environments with evolving requirements. Why Join Us At Unframe, you’ll work on real AI products used by real customers, not experiments or demos. This role offers a unique opportunity to sit at the intersection of customer problems, product strategy, and AI execution, with true ownership over solutions from idea to delivery. You’ll collaborate with strong engineers and AI specialists, influence how our platform evolves, and help shape reusable product capabilities as we scale. If you’re motivated by impact, complexity, and building practical AI systems that actually ship, you’ll find this role both challenging and rewarding.

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping Fortune 500 companies move from idea to production faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with some of the biggest enterprises in the world. About the Role We’re looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at Unframe. This is not a traditional Tech Lead role. We’re looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. You’ll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next you’ll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv. What You’ll Do • Lead architecture and technical direction for strategic enterprise AI initiatives • Work directly with some of the world’s largest enterprises to design and deliver scalable AI-powered solutions • Partner cross-functionally with Platform, Product, and Engineering teams across the company • Stay deeply hands-on with the code and engineering teams • Drive complex technical decisions across scalability, reliability, performance, and system design • Help customers solve real production challenges and build long-term technical trust • Design versatile enterprise-grade solutions across different customer environments and use cases • Influence engineering standards, architecture practices, and long-term technical direction • Operate in a fast-moving, high-ownership environment where execution speed matters What We’re Looking For • 7+ years of software engineering experience • Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks • Deep experience designing scalable production systems and distributed architectures • Strong architectural thinking combined with a builder mentality • Experience working with enterprise customers or large-scale deployments • Experience building AI/LLM-powered products or platforms • Excellent communication skills and ability to lead technical conversations with both engineers and executives • High ownership mentality and ability to operate independently in ambiguous environments • Someone equally comfortable writing code, designing systems, and speaking with customers Why Join Us? This is a rare opportunity to operate at the intersection of engineering, architecture, AI, product, and customer strategy inside a fast-growing AI company. You’ll work directly with founders, senior engineering leaders, and enterprise customers on high-impact initiatives that shape both the product and the company itself. If you’re looking for a role with real ownership, real technical influence, and the opportunity to build AI systems used in production by some of the world’s largest organizations, we’d love to meet you.

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping Fortune 500 companies move from idea to production faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with some of the biggest enterprises in the world. About the Role We're looking for an exceptional AI Engineer who sees the bigger picture - someone who can understand how entire teams and departments operate and fundamentally improve the way they work through AI and automation. You'll work across the organization to identify inefficiencies, rethink complex processes, and design and build AI-powered systems that drive meaningful operational change. This is a highly autonomous, hands-on role. We need someone who doesn't wait for requirements but identifies opportunities, takes ownership, and turns ambitious ideas into production-ready solutions. Your mission: Make Unframe dramatically more efficient, scalable, and AI-native. What You'll Do • Analyze and transform end-to-end workflows across departments, identifying opportunities for AI-driven automation and improvement. • Design and build sophisticated AI agents, multi-agent systems, and automation workflows. • Lead complex, cross-functional initiatives that span multiple teams, platforms, and business processes. • Integrate AI solutions with internal systems, APIs, databases, and development tools. • Own initiatives end-to-end - from problem discovery and architecture to hands-on implementation, deployment, and adoption. • Build reusable AI capabilities and infrastructure that scale across the organization. • Challenge existing processes, drive innovation, and deliver measurable improvements in efficiency and productivity. What We're Looking For • 5+ years of software engineering experience, including building complex, production-grade systems. • 2+ years of hands-on experience building AI-powered applications, agents, and automation workflows. • Exceptional systems thinking - the ability to understand complex processes, connect the dots, and see the bigger picture. • Strong ownership and independence - capable of turning ambiguous, cross-organizational challenges into working solutions. • Strong proficiency in Node.js / TypeScript and backend system architecture. • Deep experience with agentic AI, including tool calling, orchestration, context management, and multi-agent systems. • Familiarity with frameworks and protocols such as LangGraph, Google ADK, CrewAI, MCP, and AI evaluation and observability tools. • Hands-on experience with AI-native coding tools such as Claude Code, Cursor, or Codex. • Strong business and product mindset, with excellent communication skills and the ability to work across technical and non-technical teams. Why join us? • Real ownership from day one. Drive decisions, shape ideas and make them work. • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. • You'll have the opportunity to write and build what comes next.

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the role: As a Forward Deployed Engineer at Unframe, you'll work at the intersection of Engineering, Product, and our customers. You'll use your engineering experience to help enterprise customers deploy AI systems into production, solve complex technical challenges, and deliver solutions with real business impact. What you’ll do: • Work directly with enterprise customers to understand their business and technical challenges. • Translate open-ended problems into practical AI solutions. • Build production-grade integrations, workflows, and automations across customer systems, APIs, and data sources. • Build and ship customer-facing solutions, not just prototypes or technical designs • Deploy, test, and iterate in real customer environments. • Own customer implementations from discovery through production. • Partner closely with Product and Engineering to improve the platform. • Design and implement LLM-powered workflows and agentic systems for real enterprise use cases. What we are looking for: • 5+ years of software engineering experience. • Comfortable working in a fast-paced startup environment. • Strong ownership and the ability to drive projects from discovery to production. • Experience working directly with customers and translating business needs into technical solutions. • Experience integrating systems using APIs and working in production environments. • Strong hands-on experience with TypeScript/JavaScript, Node.js, React/Vue, and PostgreSQL. • Experience with AI, LLMs, MCP, or agentic workflows. • Experience in a Forward Deployed Engineering, Solutions Engineering, or other customer-facing technical role. Why join us? • Real ownership from day one. Drive decisions, shape ideas and make them work. • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. • You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $100M in Series B funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally About the role We’re looking for a Group Product Manager (GPM) to lead a team of Product Managers and own a portfolio of enterprise AI solutions in production. This is a highly ambiguous, fast-paced environment where many problems are not predefined. You will be expected to deeply understand customer needs, identify the right problems to solve, and lead your team in building solutions that deliver meaningful business value. You will operate as a product leader with end-to-end ownership, shaping opportunities, driving execution, and scaling successful solutions. What you’ll do • Lead a team of Product Managers working on complex, high-impact AI solutions in production • Work closely with customers and internal teams to identify high-value problems and define what to build • Operate in high ambiguity, shaping opportunities where requirements are not clearly defined • Drive the development of new solutions from early stages to production, making key product and trade-off decisions • Own a portfolio of solutions across one or more enterprise customers, setting priorities across multiple parallel initiatives • Balance speed of execution with long-term scalability, quality, and product thinking • Identify patterns across solutions and push for reuse and productization • Mentor and develop Product Managers, helping them operate effectively in a fast-paced, ambiguous environment What we’re looking for • 7+ years of product management experience, including 2+ years leading Product Managers, in high-growth or complex environments • Experience managing strong PMs, setting direction while empowering ownership and independent decision-making • Ability to operate in ambiguity, define problems, and lead teams in building new solutions from early stages to production • Proven track record of driving products or systems from concept to real-world impact, balancing speed, quality, and scalability • Experience working on complex systems and with enterprise customers, navigating competing needs and constraints • Strong cross-functional leadership and communication skills, working closely with engineering, AI, GTM, and customers Why this role is unique This isn’t a typical product role. You won’t inherit a roadmap, you’ll help define what’s worth building, working on real problems with real enterprise customers. You’ll operate in a true 0→1 environment at scale, taking ideas all the way to production. From day one, you’ll have real ownership, shaping direction, making decisions, and leading a team through ambiguity. You’ll work closely with founders and senior leaders in a fast-moving company where things actually get built.

Island is shaping the future of work - creating an enterprise workspace for both knowledge workers and agents - where access, security, and AI-powered productivity are built in. Our enterprise agentic control plane boosts productivity across devices, browsers, applications, networks, and data while protecting sensitive information, simplifying access, and helping enterprises scale AI safely. Behind all of that is a team of people who care deeply about their craft and want to do the biggest and best work of their careers. At Island, character and drive matter more than your resume. Backed by Coatue Management, Insight Partners, Sequoia Capital, Cyberstarts, and other world-class investors, Island is used by millions of people at some of the planet’s largest enterprises. Come build with us. Together, we’re changing how the world works. Our Network Quality Group is looking for an excellent Network Test Development Engineer. The position requires deep understanding and hands-on experience in design and implementation of both manual and automated tests, to ensure a high quality product delivery to Island’s customers. As a Network Test Development Engineer, you'll own the quality of Island's Enterprise Network products: ZTNA, SWG, SASE, and VPN. As Part of this role you will: Design, implement and run both manual and automated test scenarios. Work closely with the R&D engineering teams to ensure new features and product releases are delivered in high quality.. Lead test solution innovations to reduce test time and improve overall product quality, covering ZTNA policy enforcement, SWG traffic inspection, SASE routing, and VPN tunneling, at both the end-to-end and component level. Build and manage test environments that reproduce real customer topologies, including varied network conditions, identity providers, operating systems, and browsers. Plan and execute manual testing for new releases where automation doesn't yet reach, and convert repeatable manual cases into automated ones. Fix bugs both in test suites and in various parts of Island’s customer-facing products. Requirements: 4+ Years of experience in manual test design. Hands-on experience with AI coding tools and agents (e.g. Claude Code, Cursor) to write, debug and maintain test code. Experience in automation test development for Enterprise product - Advantage Strong understanding of network protocols and how traffic moves: TCP/IP, TLS, DNS, HTTP/S, proxies, and tunneling. Hands-on experience testing security or networking products: ZTNA, SWG, SASE, VPN, CASB, or firewalls. A degree in computer science or related field - Advantage Data Privacy You can find information on how we process and protect your personal data in our Candidate and Employee Privacy Notice. For any privacy-related questions, contact us at [email protected].

Island is shaping the future of work - creating an enterprise workspace for both knowledge workers and agents - where access, security, and AI-powered productivity are built in. Our enterprise agentic control plane boosts productivity across devices, browsers, applications, networks, and data while protecting sensitive information, simplifying access, and helping enterprises scale AI safely. Behind all of that is a team of people who care deeply about their craft and want to do the biggest and best work of their careers. At Island, character and drive matter more than your resume. Backed by Coatue Management, Insight Partners, Sequoia Capital, Cyberstarts, and other world-class investors, Island is used by millions of people at some of the planet’s largest enterprises. Come build with us. Together, we’re changing how the world works. As a Senior Product Security Researcher at Island, you will attack our product the way a motivated adversary would. You will research how Island’s security controls, browser features, cloud services, and AI capabilities can be bypassed, abused, or turned against our customers, and you will work with R&D to fix the root causes. This role focuses on product logic, trust boundaries, and the application and cloud layers, rather than kernel or memory-level research. Key Responsibilities • Product Control Bypass Research: Find ways to bypass or weaken Island’s enforcement features, such as data loss prevention, clipboard, download and screenshot restrictions, data masking, and access policies, and help design controls that hold up under real attacks. • Browser & Extension Security: Research the security of Island’s browser features, web platform integrations, and extension ecosystem, including the browser security model, extension permissions, and interactions between web content and privileged browser features. • Backend, API & Identity Research: Assess Island’s management console, cloud services, and APIs for authorization flaws, tenant isolation issues, and weaknesses in authentication and identity flows (SSO, OAuth, SAML, OIDC). • AI & Agent Security: Research the attack surface of Island’s AI and agentic features, including prompt injection, agent tool abuse, data exposure through AI workflows, and the security of MCP and agent integrations. • Threat Modeling & Design Review: Work with developers, architects, and product managers to model threats for new features early in design, and turn research findings into concrete security requirements. • Proof of Concept & Impact Analysis: Build proof of concepts that show real customer impact, and clearly explain risk and fix priority to engineering and leadership. • Tooling & Automation: Build tools and AI-assisted workflows that scale research across a large and fast-moving codebase. • Community & Knowledge Sharing: Mentor team members, contribute to internal playbooks, support our bug bounty program, and present research externally when appropriate. Requirements • Several years of hands-on experience in application security research, product security, or offensive security, with a strong track record of finding real vulnerabilities (CVEs, bug bounty, published research, or equivalent). • Deep understanding of web and browser security: same-origin policy, CSP, cookies and sessions, extension security, and common web vulnerability classes (XSS, CSRF, SSRF, IDOR, auth bypass, logic flaws). • Strong knowledge of authentication and authorization protocols (OAuth, OIDC, SAML) and multi-tenant SaaS security. • Ability to read and review code in languages such as TypeScript/JavaScript, Go, Python, or C++. • Strong adversarial thinking and the ability to find logic and design flaws, not only known bug patterns. • Clear communication and the ability to work as a partner to engineering teams. Advantages • Experience with Chromium architecture or enterprise browser and endpoint products. • Experience researching LLM applications or agentic systems. • Cloud security experience (AWS, Kubernetes). • Experience building security tooling or using AI to speed up research. Data Privacy You can find information on how we process and protect your personal data in our Candidate and Employee Privacy Notice. For any privacy-related questions, contact us at [email protected].