Muon Space
Staff Product Manager
$243K–$274K
Mountain View, CA +1 · Staff · Full-time · Posted Oct 27, 2026
- Location
- Mountain View, CA
Mountain View, California, United States - Experience
- 8–10 years of Product Management experience.
- Education
- Bachelor's degree in Engineering, Computer Science, Physics, or a related technical field; advanced degree preferred.
- Visa sponsorship
- Applicants must meet the stated export-controlled-information access requirements: be a U.S. person, be eligible to access the information without export authorization, or be eligible and reasonably likely to obtain required authorization. The company may decline to pursue export licensing for legitimate business reasons.
About the job
Own the strategy, roadmap, and productization of one or two satellite-system product areas, making technical and commercial decisions that help scale Muon’s offerings across missions and customers.
What you'll do
- Set multi-quarter roadmaps, define reusable platform capabilities versus custom work, and measure product-area success.
- Standardize and tier offerings, making area-specific decisions on capabilities, performance commitments, interfaces, and packaging.
- Gather customer and market insights and partner with engineering, Growth, Go-To-Market, Marketing, and product leadership.
What they ask for
- 8–10 years of Product Management experience owning complex, technically deep products spanning hardware, software, and data systems.
- End-to-end ownership of a large product area, including architectural, productization, and commercial decisions.
- Strong fluency working with platform, infrastructure, and systems engineering leadership.
- Ability to operate as a Staff-level IC, making consequential decisions and driving alignment without a team to delegate to.
Nice to have
- Familiarity with space systems and LEO constellations.
- Experience scaling a Product function in space, defense, or deep tech; or in a startup or high-growth technology environment.
Pay
$243,000 - $274,000 USD base salary
Tools
RF, optical, SDK, edge inference, on-board data reduction, tipping-and-cueing
AI focus
Define the on-board compute roadmap and how edge inference is exposed to mission teams and customers.
Model-written summary · the original posting is authoritative