Start by clarifying the goal: is it a full autonomous vehicle in market or a limited commercial deployment? Then outline a phased strategy that balances technical feasibility, regulatory hurdles, and market readiness, focusing on iterative milestones and risk mitigation. Emphasize cross-functional collaboration and data-driven decision-making to prioritize features and geographies.
Pro tip: Acknowledge that 'in market' doesn't mean full autonomy everywhere; propose a staged rollout (e.g., geo-fenced robotaxi service) to generate revenue and data while working toward full autonomy. This shows business acumen and realistic execution.
Clarify what 'in market' means: full autonomy vs. limited service, target geographies, and regulatory environment. Align with leadership on measurable milestones.
Identify current capabilities, missing technologies (e.g., L4/L5), and regulatory barriers. Prioritize R&D and partnerships to close gaps.
Select initial markets with favorable regulations and high demand (e.g., Phoenix, SF). Focus on a narrow ODD (Operational Design Domain) to launch faster.
Create a timeline with milestones: testing, pilot, commercial launch, scaling. Include go/no-go gates and feedback loops.
Drive collaboration across engineering, legal, policy, and operations. Use agile methods to iterate quickly and adapt to learnings.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.