Related skills
data visualization machine learning ai simulation autonomy📋 Description
- Define the vision and strategy for internal autonomy apps with Engineering and Design.
- Own end-to-end lifecycle of internal tools for AV development.
- Conduct user research and translate requirements into a cohesive product portfolio.
- Drive AI adoption by defining AI/agent tools and workflows to accelerate development.
- Prioritize roadmaps balancing quick needs with long-term scalability.
- Lead through influence to build consensus on timelines and trade-offs.
🎯 Requirements
- 7+ years of software product leadership driving strategy and execution.
- Strategic problem solving; navigate ambiguity and drive organizational change.
- Influence & communication; articulate product narrative to executives.
- Collaborative leadership across Design, Engineering, and Data.
- Operational fluency in software lifecycle, ML-based development, risk mitigation.
- Technical fluency to grasp complex concepts and assess architecture risks.
🎁 Benefits
- Hybrid work environment with in-office 3 days/week.
- Commitment to safety and inclusion; accommodations available.
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