Staff Product Manager - ML Training Workflow

What you'll do

• Set the roadmap and requirements for ML training, experimentation, evaluation, observability, and developer productivity capabilities.
• Use user research, workflow analysis, and metrics to identify bottlenecks, prioritize investments, and measure impact.
• Partner with engineering and cross-functional teams to deliver capabilities, communicate tradeoffs, and mentor product managers and partners.

What they ask for

• 8+ years of product management or related technical product experience, including ownership of complex software platforms or developer-facing products.
• Experience building products for AI/ML, data science, developer productivity, infrastructure, platform engineering, or other highly technical users.
• Strong understanding of the ML lifecycle, including data pipelines, model training, experimentation, evaluation, performance analysis, and production handoffs.
• Technical proficiency with complex software systems, distributed workflows, cloud or compute infrastructure, and data-intensive products.

Nice to have

• Master’s or Doctorate in computer science, engineering, data science, machine learning, or a related technical field.
• Experience with ML training platforms or MLOps tools, developer-productivity improvements, autonomous vehicles, robotics, or other data-intensive AI systems.

Pay

$134,700 to $245,00 USD base salary

Tools

AI/ML, MLOps, GPU

AI focus

Product management for AI/ML training workflows, experimentation, evaluation, and infrastructure supporting autonomous vehicle model development.