Agentic Customer Engineer

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. ABOUT OKTA FOR AI AGENTS Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. THE ROLE You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. RESPONSIBILITIES * Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. * Lead the hardest accounts. Personally own the most strategic, regulated, or technically novel deployments, the ones where there is no playbook yet. * Raise the technical bar. Review other FDEs’ architectures, coach senior customer engineers and your own team, and set the standard for what good looks like in the field. * Shape the roadmap. Synthesize patterns across every account into a clear point of view, and work directly with product and engineering leadership to prioritize what ships next. * Represent Okta as a technical authority. Brief CISO, CIO, and Chief AI Officer audiences, contribute to the standards and frameworks shaping agent identity, and carry the external technical voice. * Resolve what others cannot. Step into the hardest technical and political situations across accounts and find the path forward. * Set the standard for evals and observability. Define how the team measures authorization latency, scope sprawl, delegation anomalies, audit completeness, and kill-switch verification, so it scales beyond any single customer. * Build the team’s leverage. Turn recurring field work into reusable modules, internal tooling, and enablement so the whole FDE function moves faster. REQUIREMENTS * Engineering depth. 10+ years shipping production software, with deep distributed systems and identity experience and a track record of staying hands-on while setting direction. * Authority-level identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Contribution to standards or open source is a plus. * Deep agent security fluency. OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS, plus MCP, A2A, ISO/IEC 42001, and the EU AI Act, with the judgment to apply them in HIPAA, FedRAMP, and SOC 2 environments. * Expert fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and command of the design tradeoffs at scale. * Proven AI hands-on. Production integrations across the major agent platforms and MCP, and daily AI-native development. * Force multiplier. A record of setting technical direction across multiple teams or accounts, and of mentoring senior engineers. * Customer-facing authority. Credible from the IDE to the boardroom, trusted by CISOs and principal engineers alike, and steady when account politics get sharp. * High agency, founder’s mindset. Applied to building a function, not just an account. * Ability to travel, on occasion, up to 35% #LI-Remote (P24675_3470403) Below is the annual On Target Compensation (OTE) range for candidates located in the United Kingdom. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/gbr. The OTE range for this position for candidates located in the United Kingdom is between: £114,000—£172,000 GBP The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Meticulous

WHAT WE DO We're building the last piece of the puzzle to help companies unlock AI code generation - the part that makes it actually safe to ship. AI is enabling engineers to write code faster than ever before. But software review and testing hasn't caught up. Engineering leaders are drowning in long review cycles and more bugs than ever. The bottleneck isn't writing code anymore - it's everything that comes after it. We spent 3 years building the foundational technology to crack this - hard to replicate, and several years ahead of anything else on the market. Since then, we've grown 5x year-on-year and now work with some of the most AI-driven engineering teams in the world: Notion, ElevenLabs, Dropbox, Discord, LaunchDarkly, Wiz, CoreWeave, Wealthsimple, and more. Companies like Dropbox, Wiz, and Notion often pay more for Meticulous than any other software product in their stack, and spontaneously refer us to others. We're backed by the same investors behind Twilio, Twitch, Intercom, and PagerDuty. Individual investors include the founders of Vercel, Datadog, Segment, and Dropbox, the CTO of GitHub, the CPO of Adobe, the head of Engineering at Cursor, and many more. Our mission is to radically accelerate the pace of software development by empowering every engineer to ship at the speed their agents write code. This is an opportunity to join a company in hypergrowth as we scale from millions of annual recurring revenue to $100M ARR. If this excites you, come help us build it! THE ROLE FORWARD DEPLOYED ENGINEER - LONDON As one of the first Forward Deployed Engineers at Meticulous, you'll work shoulder-to-shoulder with our core engineering team at our London headquarters and help define how this function operates from the ground up. The FDE team is still small and the playbook is still being written - you'll be instrumental in shaping the processes, tooling, and best practices that the function runs on as it scales. You'll work directly with engineering leaders at the world's most AI-driven companies, understanding their unique architectures and crafting solutions that work for their specific needs. This role demands an unusual combination of deep technical expertise and entrepreneurial drive, you'll be writing high-performance code one day and presenting architectural decisions to VPs of Engineering the next. CORE RESPONSIBILITIES This role spans both customer work and engineering. You own each customer end-to-end - and do what’s needed to make sure Meticulous is transformational for them. This involves everything from changes to core product to owning the customer relationship: * Architect and deploy at scale: Work with a customer to understand their full architecture, design implementation strategies that fit their systems, and pair with their engineers to deliver them. * Evolve the core product to make the customer successful: This can range from debugging and fixing issues that are blocking the rollout (which often go deep into the core technology, such as the deterministic browser), to shipping features that will be transformative for the customer you’re focused on, but also move the product forward itself e.g. rework parts of Meticulous to work at a new level of scale required by the customer. * Own the technical relationship and lead the pilot: Be the technical lead to engineering leadership (VPs Eng, Staff+ engineers) at each customer - driving scoping, integration, and rollout. A founder or account executive handles pricing and contracts; the two of you operate as a pod per account. * Guide the direction of the product based on what you learn in the field: As you see how the product performs, and how engineers workflows are rapidly evolving, work out what do we need to build to unlock the next level of automating software development? Where there are improvements which make sense to own and ship, ship them; where the work is larger and needs deeper scoping pair with core engineering team to make them happen. * Build the playbook: The FDE function is still being defined. You'll be instrumental in establishing the processes, tooling, and best practices that make each deployment smoother and faster than the last, creating the leverage that lets the team scale. WHAT WE'RE LOOKING FOR * Exceptional engineering skills: Typically 3+ years in a demanding technical role, but we'll consider exceptional candidates with 1+ years of experience. * Highly agentic: you have a bias to action, move fast, take ownership without being asked, and get genuinely frustrated when things stall - this role demands entrepreneurial self-drive * Strong communication skills: You can explain complex technical concepts to both engineers and executives, and you're energized by customer collaboration * Willingness to travel: Approximately 25% travel to customer sites. The majority of our enterprise customers are US-based THIS ROLE IS NOT FOR YOU IF… * You want a pure IC engineering role with no customer contact * You need structured handoffs, clear specs, and a defined process to follow * You expect regular hours and no travel - our team, customers and investors span SF, London, and NYC. The role requires comfort working across time zones * You want engineering work that's insulated from customers and their problems YOU MAY LOOK LIKE… * Senior IC at a top tech company ready to leave the bureaucracy behind and own real customer outcomes end-to-end * Ex-founder or technical founding engineer who wants to keep the founder-energy but plug into a company with product-market fit and a clear path to scale * Forward Deployed Engineer at OpenAI, Scale, or Anthropic looking for an earlier-stage version of the same work * Solutions architect or staff engineer who wants more deep engineering and less PowerPoint WHAT YOU'LL GAIN HELP BUILD A NEW FUNCTION As one of the first FDEs at Meticulous, you'll be instrumental in defining how this team operates, from processes and tooling to how it scales. Clear path into leadership as the function grows. EXCEPTIONAL GROWTH You grow through a combination of the people you work with, and the experiences you’re exposed to. Within that context: * Our philosophy is that density of talent is what matters; and so we’ve focused on keeping the team small but with exceptional individuals. You’ll get to collaborate with world-class engineers who previously led 100+ person organizations at top companies, and we expect you’ll find the team is beyond any you’ve worked in before, within big tech (Google, Meta, etc.) or otherwise. This, combined with a focus on learning and growing together, means we’re able to learn from each other at rapid pace. * Beyond growing your skills through engineering and collaboration, the role involves spending a lot of time with engineering leaders at the fastest growing tech companies and leading firms in the world. We’ve found this gives us a unique exposure to a huge range of technologies, practices, techniques, codebases, architectures, cultures, learnings - what works, what doesn’t. It’s a valuable bird eye view of collective learnings and experiences. These learnings normally take years or decades to build up as you move between companies. There are few startups that grow as fast as we do. You’ll be joining a small team on an exceptional trajectory. Through this comes unique growth, but also unique network. EXPAND YOUR NETWORK Our investor network is one of the most active in tech - we'll use it to connect you with whoever helps you do your job better. You’ll work with engineering leaders across many leading tech companies, often at the highest levels. Given the speed of growth, and desirability of the product amongst the leading enterprises, Meticulous provides the opportunity to build a network of connections across the full span of the technology world. SOLVE NOVEL PROBLEMS Work on challenges at the intersection of browser technology, testing infrastructure, and large-scale system design that few engineers ever encounter - to help build something that changes the way software is developed. WORLD-CLASS COMPENSATION Base salary £150K-£300K plus significant equity, exceeding compensation at top technology companies and startups. PERKS ♥️ * 🍲 Unlimited food & drinks in office - including daily lunch as a team, and your own Amazon business account to buy whatever snacks you want for the office. * 💻 A setup you’ll love - everyone has a standing desk, brand new Macbook, your choice of ergonomic peripherals, and a £2k WFH budget to make home just as good * 🌴 Team offsites - we work and play hard, we’ve done offsites in Italy, Abu Dhabi and local 5-star resorts * 📚 Unlimited book budget - we have a growing in-office library and actively encourage everyone to add to it, whether you want to ramp up your knowledge of software testing, or become a better startup operator! * many more! LIFE AT METICULOUS We believe autonomous testing will enable the automation of the majority of software development. You'll be at the forefront of this transformation, working with the companies that will be first to realize this future. This role is on-site because we've found that the speed of iteration and depth of collaboration required for both customer success and technical excellence happens best in person.

Tessl

Tessl is a fast-growing Series A startup based in London, founded by Guy Podjarny. We’ve raised over $100M from world-class investors including Index Ventures, Accel, GV, and Boldstart, and in 2025 we were ranked #2 in Sifted EU’s B2B SaaS Rising 100 and #20 in Sifted's AI 100. At Tessl, we are building the context layer for AI coding agents, and a platform for AI-native software development. As an early member of the team, you’ll help shape how we build, scale and support a company operating at the edge of AI and software development. OVERVIEW OF THE ROLE We're hiring a Research Engineer to join our AI Research (AIR) team. You'll work on the components that make the outer loop real: how agent harnesses orchestrate model behaviour, how we evaluate what's actually working, how pipelines turn production traces into the next round of improvement, and how we diagnose the failure modes that matter to real users. These aren't four separate workstreams — they're parts of one system, and we want people who see them that way. We expect you to sit close to customers — joining calls, watching sessions, reading traces — and to let real workflows shape your research priorities. You'll have meaningful autonomy and the resources to run substantial experiments where the bar for success is shipped impact. You'll report to our AI Research Lead, and collaborate closely with engineering, product, and design. WHAT WE'RE LOOKING FOR We're explicitly building coverage across four skill areas. You don't need to be strong in all of them — but you should bring depth in at least one: * Agent harness and orchestration design — how tools, context, and control flow combine to make a useful agent. * Agentic eval methodology — task and repo-level evals, dataset curation, the craft of measuring what actually matters. * Outer-loop and pipeline thinking — feedback loops, training-data flywheels, bandit-style optimisation, anything that goes beyond a single agent session. * Failure-mode analysis — instrumenting agents, reading traces at volume, surfacing patterns engineering can act on. ESSENTIAL * 4+ years shipping AI/ML products in a startup or applied industry setting, with recent hands-on experience with LLMs and agentic systems. * Demonstrated depth in at least one of the four skill areas above. * Strong product and customer instincts: comfort joining customer calls, watching session recordings, and letting real workflows shape what you work on. * Sharp evaluation judgement: benchmarks where they exist, vibes and quick prototypes where they don't, and the taste to know which is appropriate. * Experience building datasets for evaluation or training, including the pipeline work that goes with it. * Deeply curious about agents and excited about reshaping how software is built. NICE TO HAVE * A Masters or PhD in a relevant computational field. * Direct experience with coding agents or code-generation systems. * Background in RL, bandits, or other outer-loop optimisation frameworks applied to LLMs. * Experience building synthetic data, dataset infrastructure, or internal tooling that other engineers actually used. * A project you can show us (GitHub links welcome) and a thoughtful answer to "Why Tessl?" WHAT YOU'LL DO No two weeks will look the same. A flavour: * Sit in on a customer session, understand how their agents are failing, design an eval that captures it, and drive a fix through to shipped improvement. * Close a piece of the outer loop end to end: production signal in, dataset out, eval scored, harness change shipped, metric moved. * Own a slice of our eval infrastructure: dataset curation, harness configuration, runner, analysis, and the comms back to engineering. * Prototype a new harness or context configuration and measure whether it actually moves the needle on real customer tasks. * Dig through pages of agent traces, build the tooling you need to make sense of them, and brief the team on what you found. * Partner with product and engineering on near-term shipping problems by bringing research rigour. * Pull a recent paper apart, work out what's actually transferable to our platform, and turn it into a concrete experiment. YOU’LL BE SUCCESSFUL IF… In your first 3 months, you might have shipped a new eval suite for a real customer workflow, improved an agent harness based on trace analysis, or built a pipeline that turns production failures into reusable test cases. SALARY AND BENEFITS Competitive salary commensurate with experience. Health insurance extending to partners and dependents, pension contributions, and the rest of what you'd expect. Our office is a couple of minutes from King's Cross — pet friendly, with regular team lunches, drinks, and socials. We're hybrid, with Monday, Tuesday, and Thursday as the primary in-office days. APPLICATION PROCESS * Intro call to understand "Why Tessl?" and to tell you a bit about us. * A call with our AI Research Lead to understand your ways of working and how you use agents. * A 4 hour technical take-home exercise extending our one-shot implementation. * A half-day on-site session including whiteboarding and hands-on activities. * Leadership chats with our Head of People, Head of Engineering and CEO. We care deeply about the warm, inclusive environment we’re building at Tessl and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway! LEARN HOW WE THINK AND WORK * On Tessl, The AI Native Development Startup * Announcing skills on Tessl: the package manager for agent skills * Podcast Episode: The End of Fragmented Agent Context, Guy Podjarny Tessl CEO