Product Consultant; Part-Time

About Motorq

Motorq is the leading connected vehicle intelligence platform, processing over 5 million trip miles and 500 million data points per day. We aggregate data directly from automotive OEM APIs — no hardware required — and deliver it as structured insights and automated workflows to fleet operators, lenders, rental companies, and automotive partners.

Headquartered in the SF Bay Area with offices in Chennai, Bengaluru, and Seattle, Motorq has raised a $40M+ Series B and is growing rapidly across new geographies and use cases. We’re part of the Stanford Start

X community and deeply partnered with leading automotive OEMs including GM, Ford, Toyota, Stellantis, Volkswagen, Volvo, Tesla, Mercedes‑Benz, Audi, and Rivian.

Motorq is building out a serious AI product layer — one that sits above our connected vehicle data foundation and turns raw fleet intelligence into autonomous workflows, predictive insights, and productivity‑multiplying tools for the businesses that depend on it. We are looking for an experienced Product Consultant to help us build it right.

This is a part‑time engagement — approximately 2 to 3 days per week — designed for a senior product thinker who wants meaningful, high‑impact work without a full‑time commitment. The role is structured with the explicit intention of growing into a full‑time position as the engagement deepens and the AI product layer scales.

The Product Consultant will work across two connected dimensions. The first is internal: shaping Motorq's AI product strategy, roadmap, and build priorities — from LLM‑powered insight engines and agentic workflows to evaluation frameworks and AI reliability standards for enterprise fleet environments. The second is external: going deep with Motorq's most important customers to understand their operational processes — how they manage maintenance, dispatch, driver performance, compliance, and end‑of‑life decisions — and identifying where AI can meaningfully increase productivity, efficiency, and the repeatability of those processes at scale.

The ideal candidate has shipped AI products in a production enterprise environment, knows how to run rigorous customer discovery, and can move fluidly between product strategy and hands‑on definition. Experience in fleet, mobility, automotive, or industrial operations is a strong plus — but more important is a track record of turning complex operational contexts into well‑designed, durable AI products.

• Contribute to the definition and prioritization of Motorq's AI product roadmap — working with Engineering, Data Science, and Product leadership to identify the highest‑impact opportunities and sequence them intelligently.
• Conduct deep operational discovery with Motorq customers — mapping their workflows, understanding their pain points and productivity bottlenecks, and identifying where AI‑powered automation, prediction, or decision support can create the most value.
• Translate customer process knowledge into crisp, actionable product requirements — defining what an AI solution needs to do, how success is measured, and what guardrails are needed for enterprise reliability.
• Evaluate and recommend AI approaches for specific use cases — including LLM‑powered interfaces, agentic task automation, RAG‑based retrieval, predictive models, and multi‑step workflow orchestration — matching the method to the problem.
• Define AI product evaluation frameworks and reliability standards appropriate for high‑stakes fleet operations — ensuring Motorq's AI products are trustworthy, explainable, and production‑ready.
• Partner with Engineering and Data Science to move from requirements to pilots — participating in design reviews, sprint planning, and pilot readouts to keep product and technical direction tightly aligned.
• Identify patterns across customer processes and use cases that can be productized — turning one‑off implementations into repeatable, scalable AI capabilities that Motorq can deliver across its customer base.
• Stay at the forefront of the agentic AI and LLM ecosystem — bringing relevant new capabilities, frameworks, and approaches into Motorq's product thinking before competitors…