Product Manager

Motorq•San Francisco, CA

9d•Hybrid

About The Position

Motorq is the leading Connected Vehicle Intelligence platform, built in partnership with automotive manufacturers. We deliver AI-powered solutions for fleets, car rental companies, dealerships, and lenders to improve operations, reduce fuel consumption, and minimize accidents. Our leadership team has expertise in automotive engineering, AI, data science, and SaaS. Headquartered in San Francisco with offices in Seattle, Chennai, and Bengaluru, Motorq has secured over $40M in Series B funding and is experiencing rapid growth. We are a team that aims high, maintains high standards, and tackles challenging problems. We are looking for individuals who want to contribute meaningfully to a company with significant market opportunity.

Requirements

5+ years of experience in enterprise B2B product management.
At least 2 years of experience delivering AI-powered or data-driven products in production.
Proven track record of shipping enterprise-grade software with cross-functional teams in a fast-paced environment.
Strong analytical skills, including data interpretation, metric definition, and evidence-based decision-making.
Hands-on customer discovery skills, including conducting interviews and identifying key insights.
Technical fluency in AI/ML concepts such as LLMs, agents, RAG, and evaluation.
Clear written and verbal communication skills for stakeholder alignment, specification writing, and customer presentations.

Nice To Haves

Background in automotive, mobility, fleet management, or connected vehicle platforms.
Experience working as a peer with engineers and data scientists, not just as a translator.

Responsibilities

Define and prioritize the AI product roadmap, balancing immediate customer needs with long-term platform strategy.
Own the success of shipped products, defining and tracking key performance indicators for customer outcomes.
Conduct customer discovery, manage pilot programs, and translate learnings into detailed product requirements.
Collaborate with Sales and Product Marketing to define go-to-market strategies, packaging, and pricing for AI capabilities.
Partner with Engineering and Data Science to scope, build, and launch AI features, including LLM-powered insights and agent workflows.
Define AI guardrails, evaluation frameworks, and reliability standards for enterprise fleet customers.
Work with Design and User Research to create intuitive interfaces for complex AI outputs.
Collaborate with Sales and Customer Success to identify pilot customers, gather feedback, and drive adoption.
Contribute to the exposure of AI capabilities through Motorq's technical interfaces and developer portal.