Senior Product Manager, Operations & Commercialization

Role overview

Own products that help a robot delivery fleet operate reliably, scale into new markets, and serve customers, merchants, partners, and the public well. The role translates frontline workflows, operational data, and partner needs into improvements in delivery quality, fleet utilization, and cost efficiency. It leads work from discovery through launch and iteration in close partnership with Operations, Growth, Engineering, Autonomy, Data, Safety, Support, and commercial teams.

Responsibilities

- Set the Operations and Commercialization roadmap by identifying high-impact needs across operators, field teams, merchants, customers, and partners. - Define baselines and targets for delivery success and timeliness, defects, reliability, fleet use, supply hours, and operating efficiency. - Investigate failure patterns using operational data, feedback, and field observation; turn findings into prioritized requirements. - Build scalable tools and workflows for robot supervision, deployment, dispatch, issue detection, remote intervention, exception handling, and service recovery. - Support partner launches with integration requirements, onboarding workflows, and service-level guardrails; create repeatable capabilities for expansion into additional markets. - Ship focused improvements, prototypes, and experiments; coordinate quality work, clarify ownership and dependencies, and follow defects through to resolution.

Requirements

- At least 6 years of product management experience taking software from discovery through launch and iteration, with ownership of outcomes. - Experience building products for operationally complex settings such as logistics, mobility, marketplaces, field services, or enterprise workflows. - Strong user discovery skills and ability to turn frontline needs, operational data, partner feedback, and technical constraints into requirements. - Technical fluency with APIs, data flows, connected systems, and product analytics. - Experience defining metrics and improving reliability, delivery quality, efficiency, user experience, or business performance. - Sound prioritization, iterative delivery, communication, and stakeholder management in fast-changing environments; practical use of AI-enabled tools with care to validate findings.

Nice to have

- Experience with fleet management, dispatch, remote assistance, incident management, maintenance, field-service systems, partner integrations, or multi-sided marketplaces. - SQL, dashboards, root-cause analysis, incident reviews, release management, or hands-on prototyping with AI tools.

Benefits and work setup

- Periodic travel to operating markets and partner locations may be needed. The role involves working with live physical operations and balancing iteration with reliability and safety.