You will drive cross-functional execution across distributed, multi-robot systems—aligning software, robotics systems, and product stakeholders to deliver reliable, high-impact features at pace. You’ll own the backlog, orchestrate planning and reviews, and create the conditions for teams to do their best work.
Responsibilities
- Lead a cross-functional group of robotics systems and software engineers working on multi-robot control, coordination, and related distributed systems domains.
- Align roadmaps with product objectives by partnering daily with product managers, logistics consultants, business analysts, and operations research scientists.
- Own the group backlog: write and refine user stories, prioritize for value, and maintain crisp, testable acceptance criteria.
- Run effective cadence: planning, iteration goal-setting, reviews/demos, and retrospectives that drive measurable improvement.
- Clarify requirements and unblock execution through tight feedback loops with engineering; validate outcomes against business objectives.
- Champion continuous improvement in processes, quality, reliability, and team learning.
Requirements
- Advanced degree in Mathematics, Operations Research, Computer Science, or equivalent practical experience.
- 2+ years leading technical programs or projects in a commercial environment (software, robotics, or distributed systems).
- Demonstrated skill in backlog ownership, cross-functional facilitation, and outcome-oriented delivery.
- Proficiency in English (spoken and written).
- Ability and willingness to work from our Tokyo office; visa sponsorship available.
- Purpose-driven, with a strong connection to our mission of empowering lives with connected machines.
- Values-led; you model empathy, openness, simplicity, fearlessness, drive, and first-principles thinking in decisions and interactions.
- Calm, service-oriented leadership—steady under pressure, collaborative, and focused on elevating the team.
Nice to haves
While not specifically required, tell us if you have any of the following.
- Background in distributed systems, realtime coordination, or large-scale orchestration (e.g., multi-agent systems, ROS2, event-driven services).
- Experience in warehousing, logistics, or industrial automation.
- Data-informed decision-making (experiments, telemetry, reliability metrics).
