Forward Deployed Engineer

We’re building prod, not god. TypeSafe AI is a truly novel AI lab building machine-native intelligence infrastructure for automation – designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models.

Our first public model, Jev, was launched just 2 months ago. Adoption has been incredibly rapid, and we now count around one-third of the Fortune 500 as users.

We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors like Andreessen Horowitz and Sequoia.

As one of TypeSafe’s first Forward Deployed Engineers, you’ll be helping to shape how the FDE function delivers value to our customers. You’ll be customers’ primary technical partner, helping them turn promising ideas into production software built on Jev. You’ll work closely with developers and enterprise teams to identify valuable use cases, prove performance, and grow adoption across their organizations.

You’ll also build with Jev yourself: creating internal tools, exploring new applications, and turning what you learn into demos, cookbooks, and product feedback. This is a hands-on role for an engineer who loves understanding customer problems and helping people build.

• Help customers discover and develop great use cases for Jev. Understand their workflows, identify where Jev can deliver meaningful value, and help unblock engineering teams technically – whether writing a doc or cookbook, jamming with customer engineering teams, or getting hands-on with code.

• Growing our developer education efforts at scale. Use your insights to create high-impact cookbooks, documentation, example repos, technical blogs, visual explainers, and case studies that help more developers succeed.

• Give confident, engaging technical demos and talks whether to engineering execs or at community events. Support hackathons, answer questions, and build lasting relationships with people using TypeSafe.

• Be a collaborative and trusted technical partner with AEs on technical discovery, demos, and evaluation results that drive deals to success.

We’re a small, flat, close-knit team dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.

We strive for excellence and craftsmanship and won't stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow as a team and as individuals.

We also value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.

We want you to be able to do the most impactful work of your career at TypeSafe and help define our future as a company.

• 100% covered health insurance

• Daily lunch and dinner

• Visa sponsorships

• 401(k) plans

• Have great product sense: can intuit what customers are trying to achieve, and what can really move the needle for them

• Are strong, hands-on engineers: can rapidly prototype eye-catching demos for a customer call, write evaluation scripts, and understand data across a wide range of customer domains.

• Enjoy working closely with customers: asking thoughtful questions, understanding their goals and organizations, and building relationships.

• Have sound technical judgment. You understand representative datasets, baselines, precision and recall, thresholds, and failure analysis, and can explain where a model is useful and where it falls short.

• Communicate clearly with developers and business stakeholders, whether through a technical conversation, a demo, documentation, or example code.

• Have built in a customer-facing technical role, such as an FDE, solutions engineer, or sales engineer; or bring product engineering, applied AI, or founder experience with a strong customer focus.

• Thrive in an ambiguous, fast-moving environment: we’re a small team, and you’ll be helping to evolve how FDE works at TypeSafe. You should be able to autonomously navigate that ambiguity to find the points of highest leverage and impact.