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Product Manager, Annotation Platform
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-16
Listing for:
Avala
Full Time
position Listed on 2026-10-16
Job specializations:
-
Business
AI Business & Operations
Job Description & How to Apply Below
Posted 6 months ago San Francisco, CA full-time
About This RoleOwn 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
- 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
- Experience in autonomous vehicles, robotics, or Physical AI
- Familiarity with annotation/labeling workflows or ML training data Experience with product-led growth and enterprise sales motions
- 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
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