Accountabilities

Own the Operations & Commercialization product roadmap, translating the needs of operators, field teams, merchants, customers, and commercial partners into clear priorities.

Define and monitor operational performance and delivery quality metrics, including successful and on-time deliveries, customer and merchant defects, reliability, supply hours, fleet utilization, and cost efficiency.

Establish performance baselines and targets, making results visible across markets, partners, and platforms where relevant.

Analyze operational data, customer feedback, partner input, and field observations to identify recurring failure modes, investigate root causes, and uncover product improvement opportunities.

Develop scalable workflows and product capabilities for robot supervision, deployment, and dispatch, reducing manual effort and improving fleet productivity.

Improve delivery reliability through better issue detection, remote interventions, exception handling, incident follow-up, and service recovery.

Enhance the experience of customers, merchants, operators, and the wider public by designing intuitive and dependable interactions grounded in real-world workflows.

Partner with commercial and logistics teams to define product capabilities, integration requirements, onboarding workflows, and service-level agreement (SLA) guardrails for successful partner launches.

Build repeatable product capabilities and operational workflows that accelerate market deployments and reduce complexity as the business expands.

Lead products from concept through launch and iteration, defining problem statements, requirements, success criteria, rollout plans, and adoption measures.

Collaborate closely with Engineering to scope and sequence improvements, favoring iterative releases, rapid experimentation, and frequent testing while maintaining reliability and release readiness.

Use analytics and AI-enabled tools, including large language models (LLMs) and AI agents, to explore operational data, accelerate root-cause investigations, and prototype dashboards, workflows, and proof-of-concept solutions.

Coordinate cross-functional quality initiatives with Analytics, Engineering, Operations, Program Management, Safety, Support, and Field Operations, ensuring clear ownership, visible dependencies, timely escalation, and resolution of issues.

Requirements:

6+ years of product management experience, with a track record of taking software products from discovery through launch and ongoing iteration.

Experience building tools or platforms for operationally complex environments such as logistics, mobility, marketplaces, field services, or enterprise workflows.

Strong user research and discovery skills, with the ability to translate frontline workflows, technical constraints, operational data, and partner feedback into prioritized product requirements.

Technical fluency in APIs, data flows, connected systems, and product analytics, with the ability to collaborate effectively with Engineering and Design teams.

Demonstrated ability to define and use metrics to improve reliability, delivery quality, operational efficiency, user experience, or business performance.

Strong prioritization and decision-making skills, including the ability to make clear tradeoffs and adapt direction as new evidence emerges.

Practical experience using AI-enabled tools or LLMs for data exploration, root-cause analysis, workflow improvement, or product prototyping, with sound judgment in validating outputs.

Proven ability to deliver iteratively with Engineering teams while balancing speed, learning, release readiness, and product reliability.

Excellent written and verbal communication, stakeholder management, and cross-functional influencing skills.

Ability to work effectively in ambiguous, fast-changing environments and collaborate with teams across different disciplines.

Additional qualifications that would be an advantage:

Experience developing products for operational teams where software decisions directly affect real-world performance, safety, and unit economics.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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