Flexion Robotics

Humanoid-robotics AI brain for autonomy

Product Manager

Technical Product ManagementConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

Product management experience on technical B2B products, ideally developer platforms, SDKs, or machine learning products, at a high-growth startup or top technology company.
A strong technical foundation, demonstrated by a degree in Computer Science, Electrical Engineering, Robotics, or equivalent experience.
A working understanding of robot learning and control, including whole-body controllers, training policies in simulation, and why their behavior differs on real hardware.
Experience defining evaluations or benchmarks for machine learning 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.
Ability to write clear product specifications, customer updates, and positioning narratives.
Comfort operating 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%.

Responsibilities

Own the whole-body controller as a product, including its packaging and positioning, target personas, and customer-relevant metrics, and work with research on evaluating those metrics.
Own productization of new robot integration by deciding which steps become tooling or self-service and which remain team-supported, and drive the roadmap to reduce onboarding time for each new robot.
Collaborate with go-to-market and marketing teams to define customer pitches, engagement models, positioning, strategy, and pricing through the sales process.
Regularly speak with customers, run feedback loops with original equipment manufacturer engineering teams, visit integration sites, and convert feedback into prioritized requirements.
Define product needs for the software development kit, including what developers must configure, deploy, monitor, and debug, and how the SDK should evolve as more robots use the stack.
Partner with research and engineering to determine what to build and productize, and track adoption using quantitative and qualitative signals.

Desired Qualifications

Hands-on experience with humanoid, legged, 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 evaluation frameworks, model-training pipelines, or agentic artificial intelligence products.
A strong instinct for product-market fit in a category that is still forming.

Product Manager

Flexion Robotics · San Francisco, United States · — · Posted 2026-11-06

Workplace: on_site

Description

About Flexion

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 role

Our 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%).

Bonus

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

Apply

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About the Company

Flexion Robotics

Humanoid-robotics AI brain for autonomy

Flexion Robotics builds the AI brain for humanoid robots, enabling autonomy by letting robots understand natural-language tasks, plan motions, and control their bodies through reinforcement learning and sim-to-real training. Its stack includes a command layer that uses language models for task decomposition, a motion layer with vision-language-action models trained largely on synthetic data, and a low-latency whole-body control layer with modular skills. The company differentiates itself with an ETH Zurich–trained engineering team and a full-stack approach that covers language, motion, and real-time control, plus active funding and OEM partnerships. Its goal is to enable useful, widespread autonomy for humanoid robots by partnering with original equipment manufacturers to scale robot fleets and establish a US presence.

Company size: 51-200
Company stage: Series A
Total funding: $57.4M
Headquarters: Zurich, Switzerland
Founded: 2025

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