Product Manager – ML-Driven Annotation Platform

Avala; San Francisco (CA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Full health, dental, and vision

Unlimited PTO

Job summary

Avala is seeking a product leader to own the strategy for its annotation platform — the tools and workflows that turn sensor data into production‑grade training labels for Physical AI. You will define the roadmap for 2D/3D/4D annotation tools, QC pipelines, and the agentic labeling system.

Collaborate daily with engineering, design, and operations to ship high‑impact features; analyze usage data and feedback to measure success; and present product strategy at industry events.

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

Technical fluency

Communication

ML / CV domain knowledge

Job description

Avala is seeking a product leader to own the strategy for its annotation platform — the tools and workflows that turn sensor data into production‑grade training labels for Physical AI. You will define the roadmap for 2D/3D/4D annotation tools, QC pipelines, and the agentic labeling system.

Collaborate daily with engineering, design, and operations to ship high‑impact features; analyze usage data and feedback to measure success; and present product strategy at industry events.