
ellamind · Bremen HQ
Agents are only as good as the team behind them. We're experienced researchers and engineers building vertical AI agents that run in production inside some of t...
Agents are only as good as the team behind them. We're experienced researchers and engineers building vertical AI agents that run
in production inside some of the most demanding environments there are: health insurers, banks, and the public sector, where
decisions are audited and mistakes carry real consequences.
We're looking for a forward-deployed engineer to embed with our customers in regulated industries, health insurers, banks, and the
public sector, and turn their hardest operational bottlenecks into AI agents that actually run in production. This role is less
about being a rockstar coder and more about being exceptional at understanding systems, using AI agents to move fast, and
explaining the work clearly to everyone from client engineers to product and business stakeholders.
to understand their real workflows, then identify where an agent genuinely pays off, and where it doesn't.
"correctly processed" be defined, is there an owner in Operations to drive rollout.
tools to move quickly: handling messy real-world inputs (PDFs, scans, voice), encoding complex domain rules, and integrating
with the customer's systems.
outcome-focused view for their product and business teams. Often in German.
full audit trails, and ellaverse to validate them against realistic, domain-specific scenarios.
faster.
Must-haves
something else entirely, or nothing at all. What matters is that you're a builder: smart, driven, hungry, and happiest when
you're shipping something real. If you have that mentality and you're great with AI agents, the rest is learnable.
permanent, but during an engagement you should expect to be physically with the customer where the work demands it.
why, and where the risks are, even if you didn't write it and wouldn't have written it that way.
don't need to be a rockstar coder; you need to be excellent at directing agents to build, debug, and ship.
clear and outcome-focused for product and business stakeholders.
engineering.
client-facing material in German.
Nice-to-haves
requirements.
What matters most
We prioritize demonstrated excellence in your projects and career. If you’re motivated to build and optimize AI solutions, we want
to hear from you, even if you don’t meet every single criterion.
agents get built, evaluated, and deployed in the environments where it's hardest to get right.
agents actually function in production: orchestrating multi-step workflows, integrating and switching across LLMs, building
robust evaluation and guardrails, handling messy real-world inputs (PDFs, scans, voice), and engineering for auditability and
reliability under regulatory constraints. Modern, well-architected systems, no legacy baggage holding you back.
the demo and into real operations is the hardest, most valuable problem in the field right now. Almost no one has done it
inside environments like health insurers, banks, and public institutions. You'll be one of the people who builds them first,
and walk away with expertise and a track record that very few engineers in the world can claim.
engineers, and immediate feedback on how your work helps customers ship reliable AI. Your engineering decisions directly shape
agents that make real, audited decisions in production.
you a stake in the company’s success as we grow.
faster, so you spend your time on hard problems, not on overhead.
have an office in Berlin, giving you flexibility across both locations.
team, mastering the technologies that are reshaping entire industries.
We build the tools enterprises need to trust, deploy, and scale AI agents. elluminate evaluates LLMs and agents with evidence
instead of guesswork; ellarun deploys them securely in hours, not months; and the ellaverse provides realistic, domain-specific,
rigorously validated environments to put agents through their paces before they ever reach a customer. We like owning problems
end-to-end, shipping pragmatically, and giving back to the open-source community. We're cash-flow positive, with offices in Bremen
(HQ) and Berlin.
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.
Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap — to embed with a customer, understand their pipeline, and wire Adaptyv's API into their stack so that designing, building, and testing proteins becomes one continuous loop instead of a series of handoffs. This is a deeply technical, customer-facing role. You'll write real code in production systems — ours and, often, theirs. You'll go from a first integration call to a working pipeline that's submitting experiments and pulling results automatically. And you'll bring everything you learn in the field back to our product and engineering teams, so the integrations get easier every time. WHAT YOU'LL DO * Embed with customers — protein design platforms, pharma, AI labs, biotechs — to understand how they design proteins and where Adaptyv fits in their loop. * Integrate our API into their pipelines: submitting designs, tracking experiments, and pulling structured results back into their models and data stores. * Build the glue — SDKs, client libraries, scripts, and small services — that makes the integration clean, reliable, and easy to maintain. * Design the data flow between their design stack and our lab so a model's output becomes a real experiment, and real measurements flow back automatically. * Prototype quickly, then harden what works into something production-grade. * Be the technical voice of the customer internally — turn what you learn in the field into improvements to our API, docs, and product. * Help turn first integrations into durable, expanding partnerships. WHAT WE'RE LOOKING FOR * Strong software engineer. You write production code (Python and/or TypeScript), design clean APIs and integrations, and can own a system end to end. * Customer-facing instinct. You're energized by working directly with users, translating a vague need into a concrete technical plan, and shipping something they actually use. * Fast and autonomous. You parachute into an unfamiliar codebase or pipeline, figure out what matters, and get a working integration live without waiting for a spec. * AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce. * API and integration experience. You've built or consumed real APIs, handled auth, webhooks, retries, and messy real-world data flows between systems. * Comfortable with ambiguity. Every customer's stack is different; you like that. * Interest in biology, protein design, or ML for science is a strong plus — you don't need a bio background, but you should be excited to learn the domain and talk credibly with scientists. DETAILS * Location: Lausanne, Switzerland or remote/hybrid, occasionally travel to customers. * Type: Full time * Start date: ASAP We review applications on a rolling basis. Application deadline We are reviewing applicants on a rolling basis.
WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance. Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale. WHAT YOU'LL ACHIEVE * Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation. * Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion. * Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. * Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization. * Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem. * Design and build customer integrations, automations, and custom tooling as a part of Notion implementations. * Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers * Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale. * Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow. SKILLS YOU'LL NEED TO BRING * 4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment. * Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts. * Hands-on experience with APIs and data integration. * Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively. * A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale. * Fluency in English and French. NICE TO HAVES * Experience working in SaaS professional services, preferably in a startup or high-growth environment. * Experience deploying AI agents autonomously in complex coding or business workflows. * Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up. * Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions. * Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches. * Strong track record of successful enterprise customer implementations. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €123,000 - €166,000per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.