At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.
The roleOur whole-body controller is the foundation of our autonomy stack and the first thing every partner integrates. Your job is to scale it to thousands, and then hundreds of thousands, of robots.
You'll join the product team, working closely with research, infrastructure, go-to-market teams and customers. You'll own the controller as a product: how it is packaged, positioned and measured, which integration steps become tooling or self-serve, and what our developer SDK needs.
This is the opportunity to join and build a category-defining product.
Key Responsibilities- Own our whole-body controller as a product: how it is packaged and positioned, which personas it serves, and which metrics matter to customers. Work with research on how those metrics are evaluated.
- Own the productisation of new robot integration. Decide which integration steps become tooling, which become self-serve and which still need our team, and drive the roadmap that cuts onboarding time for each new robot.
- Collaborate with the go-to-market and marketing teams to define customer pitches, engagement models, positioning and strategy, and the pricing model through the sales process.
- Talk to customers constantly. Run feedback loops with OEM engineering teams, visit sites during integrations, and turn what you hear into prioritised requirements.
- Map the product needs of our SDK: what developers must be able to configure, deploy, monitor and debug, and how the SDK should evolve as more robots run on our stack.
- Partner with research and engineering to decide what gets built and productised, and track adoption with quantitative and qualitative signals.
Requirements
- Product management experience on technical B2B products, ideally developer platforms, SDKs or ML products, at a high-growth startup or top tech company.
- Strong technical foundation, with a degree in Computer Science, Electrical Engineering, Robotics or equivalent experience.
- Working understanding of robot learning and control: what a whole-body controller does, how policies are trained in simulation, and why they behave differently on real hardware.
- Experience defining evaluations or benchmarks for ML models or autonomy systems, and turning results into decisions and customer-facing claims.
- Experience working directly with B2B technical customers, ideally supporting integration into third-party hardware or platforms.
- Excellent written and verbal communication. You can write a clear product spec, a crisp customer update and a compelling positioning narrative.
- Comfortable operating in an early-stage, fast-moving environment where scope is broad and ambiguity is the norm.
- Willingness to travel to customer sites across Europe and beyond (up to 15%).
- Hands-on experience with humanoids, legged robots or other physical systems, including reinforcement learning, sim-to-real transfer or system identification.
- Experience launching or open-sourcing models, and building adoption in a research or developer community.
- Prior work on eval frameworks, model training pipelines or agentic AI products.
- A sharp instinct for product-market fit in a category that is still forming.
Benefits
- Competitive compensation
- Enhanced pension plan
- Enhanced holiday & paid leave perks
- Relocation & permit sponsorship
- Central Zürich office with top-tier robotics testing facilities and infrastructure
- Joining Europe's leading robotics team & exposure to never-done-before research
- Energetic, collaborative culture with a bias for action and regular community events
- Competitive Compensation
- Joining a leading robotics team & exposure to never-done-before research
- Energetic, collaborative culture with a bias for action and regular community events
Zurich
- Enhanced pension plan
- Relocation & permit sponsorship
- Enhanced holiday & paid leave perks
- Central Zürich office with top-tier robotics testing facilities and infrastructure
San Francisco
- 401(k) with company contributions
- Health, dental & vision coverage with the flexibility to choose your own plan
- Open PTO policy & paid company holidays
Skills Required
- Product management experience with technical B2B products, ideally developer platforms, SDKs, or ML products
- Strong technical foundation with a degree in Computer Science, Electrical Engineering, Robotics, or equivalent experience
- Working understanding of robot learning and control, including whole-body controllers, simulation-trained policies, and real-hardware behavior
- Experience defining evaluations or benchmarks for ML models or autonomy systems and using results for decisions and customer-facing claims
- Experience working directly with B2B technical customers, ideally integrating third-party hardware or platforms
- Excellent written and verbal communication skills
- Ability to write product specifications, customer updates, and positioning narratives
- Comfort working in an early-stage, fast-moving environment with broad scope and ambiguity
- Willingness to travel to customer sites across Europe and beyond, up to 15%
- Hands-on experience with humanoids, legged robots, or other physical systems, including reinforcement learning, sim-to-real transfer, or system identification
- Experience launching or open-sourcing models and building adoption in research or developer communities
- Experience with evaluation frameworks, model training pipelines, or agentic AI products
- Strong instinct for product-market fit in an emerging category
What We Do
We at Flexion Robotics (flexion.ai) are a young company in Zurich working on the next generation of humanoid robot software to enable robots to perform useful tasks autonomously. We work dynamically and move fast. The team is still fairly small and every new employee at this stage will have significant ownership of their current project.
