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Product Manager, Annotation Platform

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Avala
Full Time position
Listed on 2026-10-16
Job specializations:
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

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 data Experience 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
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