Senior Product Manager, Operations & Commercialization

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.

• Familiarity with fleet management, dispatch, remote assistance, incident management, maintenance, or field-service systems, particularly across multiple markets.

• Experience with partner-facing APIs, integrations, onboarding workflows, or multi-sided marketplace products.

• Hands-on analytics experience, including SQL and dashboard development.

• Experience using AI agents, LLM tools, or code interpreters to investigate operational data and prototype workflow improvements.

• Background owning delivery-quality or reliability metrics, conducting root-cause analysis or incident reviews, or supporting release management.

Benefits:

• Annual compensation range of USD $165,000–$195,000, with the final amount depending on geographic location, experience, domain knowledge, and role level.

• Equity participation offered as part of the compensation package.

• Full-time, remote work arrangement for eligible locations in Canada.

• Opportunity to contribute to the development and commercialization of autonomous delivery robotics.

• Cross-functional collaboration with experienced professionals across Product, Engineering, Operations, Safety, and Data.

• Opportunities to influence product strategy, operational performance, and expansion into new markets.

• Periodic travel to operating markets and partner sites may be required.

• The source posting does not specify additional healthcare, paid leave, or retirement benefits.

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