At Bifrost, we're building the fastest data flywheel for physical AI. We generate synthetic data and simulation scenarios that allow robotics and autonomous systems teams to train and test their AI in minutes instead of months. Our customers use Bifrost to land spacecraft on Mars, detect pirates across the Atlantic, and build AI systems that work reliably in the real world.
Synthetic data and simulation platform for physical AI and robotics
Backed by Carbide Ventures, Airbus Ventures, Peak XV Partners (fka Sequoia Capital), Wavemaker Partners, CapVista, Techstars, Lux Capital and others
Used by NASA, Anduril, Honda, Mitsubishi, and frontier AI labs to build AI systems that work in the real world
Work with an exceptional team to solve impactful problems
Location: Singapore
We are looking for a highly motivated Product Manager to join our growing team. You'll work directly with our Head of Product to shape how Bifrost serves the most technical teams in the world - from NASA to Anduril to frontier AI labs pushing the boundaries of robotics and physical AI.
This isn't a "write PRDs and hand off" role. We need someone who can move projects forward end-to-end: scoping problems, making hard prioritization calls, and closing loops with customers. This role will give you real ownership and autonomy - and the accountability that comes with it.
Own product outcomes, not just deliverables: Take problems from ambiguity to shipped solutions. You're responsible for the result, not just the process.
Deeply understand our users: Our customers are ML engineers, roboticists, and AI researchers at the frontier of their fields. You need to understand their workflows, constraints, and what "good" looks like to them.
Drive prioritization with rigor: We have more opportunities than bandwidth. You'll need to make sharp calls on what matters most and defend them with evidence.
Work across the stack: Collaborate closely with engineering, design, and our enterprise customers to ship work that actually moves the needle.
2+ years of product management experience You've shipped products that external users have adopted.
High agency. You don't wait for perfect information. You see problems, propose solutions, and drive toward outcomes.
Sharp product instincts backed by rigor. You have a point of view on what to build and why, and you can pressure-test your own assumptions.
Strong communication skills. You can articulate complex tradeoffs clearly to engineers, designers, and enterprise stakeholders. You over-communicate progress, blockers, and decisions.
Comfortable with ambiguity. Working in a startup means the complete roadmap isn't handed to you. You'll help define it.
Please share your resume and portfolio - We'd love to view your work as part of the application
Any of the following would be a plus - but not a hard requirement:
🚀 Experience taking a product from 0→1
🤖 Background in AI/ML, AI infrastructure, robotics, simulation
🎨 A spike in another craft - design, data analysis, engineering, or prototyping
🏢 Experience working with deeply technical enterprise customers
Work at the frontier of AI and robotics with the most technical teams in the world
Small team - no red-tape and bureaucracy to wade through
Real ownership - take charge and see the direct impact of your work
Inclusive, judgement-free and safe space to be yourself
Enjoy a focused, dedicated working environment where we never forget how to have a bit of fun! Take the opportunity to do projects outside of your comfort zone - that's where the greatest learning happens. We love out-of-the-box thinkers and problem-solvers who relish sharing, collaboration and growth.
Synthetic data for AI, computer vision, robotics, and perception teams.
Even with massive sensor fleets, capturing the rare edge cases needed for training and testing remains a challenge. Instead of relying on biased, noisy, and incomplete real-world data, fast-moving teams use Bifrost to generate high-quality, diverse synthetic data on demand. This enables physical AI systems to handle more scenarios, recognize more objects, operate in more conditions, and scale to new use cases, faster than ever.
