Technical Product Manager – Robotaxi

Overview

As Technical Product Manager for Robotaxi, you will own the Japan roadmap from zero to one, blending technical, business and partner needs. You’ll shape strategy across rider experience, AI driving, software, hardware, and operations, collaborating with Uber and Nissan. You’ll translate rider feedback into product requirements, drive launches, and rely on data to steer decisions. This role offers ownership from day one in a fast-growing AI-driven mobility platform with meaningful impact on autonomous transport.

Pay / Benefits

• Salaries benchmarked against the market annually
• Equity and long-term ownership
• Relocation support and visa sponsorship
• Hybrid working with core hours
• Learning and development budgets
• Comprehensive health benefits and wellbeing support

Responsibilities

• Define strategy, roadmaps and product requirements for Japan Robotaxi
• Lead cross-functional groups across Engineering, HMI, AI, Systems and Operations to deliver core launches
• Represent the customer voice and prioritise rider and partner feedback
• Collaborate with AI, software, hardware, policy, operations and partner teams to ship features
• Ensure launch readiness with partner integrations and coverage of use cases
• Base decisions on data and metrics throughout the product cycle
• Work with partners such as Uber and Nissan to drive product performance in Japan
• Operate independently from day one, addressing gaps beyond a single feature

Key requirements

• Proven track record in technical product management shipping consumer-focused products in a technical domain
• Strong written and verbal communication for cross-functional collaboration
• Solid technical background in AI/ML, software engineering, robotics, or related field
• Comfort with fast-paced, iterative environments and evolving priorities
• Full Fluency in Japanese and English
• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field

• Strong communication skills
• Cross-functional collaboration
• Data-driven decision making
• AI/ML knowledge
• Software engineering understanding
• Robotics familiarity

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