Product Lead, Annotation Platform & ML Accelerated Labeling

MaC VC

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

Avala is seeking a Senior Product Manager to own the annotation platform that turns sensor data into production-grade training labels for Physical AI. You will define the roadmap for 2D/3D/4D annotation tools, quality control pipelines, and the agentic labeling system that combines ML models with human expertise.

Work with enterprise AV and robotics customers to understand perception data challenges, collaborate with engineering, design, and operations to ship high-impact features, and analyze

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Product management
ML / CV knowledge
Technical fluency
Communication

Job description

Avala is seeking a Senior Product Manager to own the annotation platform that turns sensor data into production-grade training labels for Physical AI. You will define the roadmap for 2D/3D/4D annotation tools, quality control pipelines, and the agentic labeling system that combines ML models with human expertise.

Work with enterprise AV and robotics customers to understand perception data challenges, collaborate with engineering, design, and operations to ship high-impact features, and analyze

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