Senior Product Manager, Operations & Commercialization

serverobotics

United States

Remote

USD 140,000 - 190,000

Full time

8 days ago

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Benefits offered by this job

Travel opportunities

Job summary

serverobotics is seeking an experienced Product Manager to own software for robot delivery fleet operations. You will translate frontline workflows, operational data, and partner needs into improvements in delivery quality, fleet utilization, and cost efficiency.

You will lead work from discovery through launch in close collaboration with Operations, Growth, Engineering, and Safety. The role requires 6+ years of PM experience in complex settings and a strong ability to turn frontline feedback

Qualifications

  • 6+ years of product management experience from discovery to launch and iteration.
  • Experience building products for operationally complex settings (logistics, mobility, marketplaces, or enterprise workflows).
  • Strong user discovery skills and translation of frontline needs into requirements.
  • Technical fluency with APIs, data flows, connected systems, and product analytics.
  • Experience defining metrics to improve reliability, delivery quality, efficiency, or business performance.
  • Sound prioritization, iterative delivery, communication, and stakeholder management in fast-changing environments; familiarity with AI-enabled tools.

Responsibilities

  • Set the Operations and Commercialization roadmap by identifying high-impact needs across operators and partners.
  • Define baselines and targets for delivery success, defects, reliability, and efficiency.
  • Investigate failure patterns using operational data and field feedback to derive prioritized requirements.
  • Build scalable tools and workflows for supervision, deployment, and service recovery.
  • Support partner launches with integration requirements and onboarding workflows; enable expansion to new markets.
  • Ship focused improvements, prototypes, and experiments; coordinate ownership and dependencies.

Skills

Product management
Data analytics
Stakeholder management
AI-enabled tools
APIs
Metrics & reliability
Roadmapping

Tools

APIs
Data flows
AI tooling

Job description

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.
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