Staff Product Program Manager
- Architect Product Strategy: 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.
- Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
- Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
- Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
- Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
- Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
- Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.
- Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
- Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
- Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
- Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
- Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
- Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.
- Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
- Experience shipping products
- Experience with self-driving technology or other AI-based applications
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