Posted 6 months ago San Francisco, CA full-time
About This Role
Own the product strategy for Avala's annotation platform - the tools and workflows that turn raw sensor data into production-grade training labels for Physical AI. You'll define the roadmap for 2D/3D/4D annotation tools, quality control pipelines, and the agentic labeling system that combines ML models with human expertise.
What You'll Do:
- Define and prioritize the annotation platform roadmap based on customer needs and market opportunity
- Drive product strategy for agentic labeling - the ML-assisted pipeline that accelerates annotation 5x
- Work with enterprise AV and robotics customers to understand perception data challenges
- Collaborate daily with engineering, design, and operations to ship high-impact features
- Analyze usage data and customer feedback to identify opportunities and measure success
- Present product strategy and demos to prospects and at industry events
Requirements:
- 4+ years in product management for technical/developer platforms
- Experience with ML, computer vision, or data infrastructure products
- Strong technical fluency - you can read code, understand APIs, and discuss system architecture
- Proven ability to balance customer needs with technical constraints and business goals
- Excellent communication - you can present to engineers, executives, and customers equally well
Nice to Have:
- Experience in autonomous vehicles, robotics, or Physical AI
- Familiarity with annotation/labeling workflows or ML training dataExperience with product-led growth and enterprise sales motions
What We Offer
- Competitive salary and meaningful equity in the team building Fleet Learning Infrastructure for Physical AI
- Full health, dental, and vision coverage, plus FSA and unlimited PTO
- Work on the closed-loop data infrastructure that the next generation of autonomous systems learns from
- A team that built Tesla Autopilot's data infrastructure, now building something bigger