Staff Product Program Manager

Aurora Innovation Aurora Innovation · Robotics · Mountain View, CA · Driver Product and Program Management

Product Program Manager to define strategy and roadmap for internal applications supporting autonomous vehicle development, focusing on AI/agentic tools to accelerate engineering and operations workflows.

What you'd actually do

  1. Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
  2. Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
  3. Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
  4. Define and champion AI/agentic tools and workflows that accelerate development workflows
  5. Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.

Skills

Required

  • 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
  • Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
  • Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
  • Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
  • Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
  • Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Nice to have

  • Experience shipping products
  • Experience with self-driving technology or other AI-based applications

What the JD emphasized

  • ML-based software development
  • AI/agentic tools and workflows

Other signals

  • internal application ecosystem for Autonomy development
  • tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale
  • AI/agentic tools and workflows that accelerate development workflows