About Motorq

Motorq is the leading connected car data and analytics software platform, revolutionizing insights from vehicle data for various industries. With a focus on automotive OEM-connected car data, Motorq processes over 1 million trip miles and 150 million data points per day.

Our vision is to be the globally recognized industry standard for connected car data and insights by enterprise customers and automotive OEMs. We currently provide actionable insights to enable enterprise-scale fleets and dealers to solve challenging problems at scale: optimizing utilization, enhancing driver safety, and enabling improved uptime. Motorq is actively expanding into additional geographies and use cases.

Motorq is headquartered in the San Francisco Bay Area, with offices in Seattle, Bangalore, and Chennai. Motorq is in a strong strategic and financial position, with a $40M+ Series B venture round, rapid revenue growth, deep partnerships with leading automotive manufacturers, and participation in the exclusive Stanford StartX community.

The Role

Motorq is growing rapidly to support its expanding customer base, automotive OEM partnerships and integrations, and product feature set. Motorq’s core products – car data and insights - are delivered through a suite of technical interfaces (e.g., API, streaming) and SaaS applications.

We are looking for a world-class Product Manager to join our team and own our data integrations with Automotive OEMs and additional partners.

The ideal candidate has experience leveraging vehicle telematics to deliver insights, either in an engineering or product function. Through close collaboration with our automotive OEM partners, enterprise customers, and internal teams, this individual will be instrumental in increasing the breadth, depth, and quality of our data integrations.

This role is full-time and will be based out of the San Francisco Bay Area.

Key Outcomes & Responsibilities

• Defining and delivering products, features, and enhancements to meet and exceed the customer and market needs - primarily related to data integrations with OEMs, aftermarket devices, and other data partners and downstream analytics outputs
• Developing and documenting clear and comprehensive product requirements
• Ensuring high quality outputs (telemetry data and insights) across our integrated partners via metrics monitoring, partner collaboration, in-vehicle testing, and other approaches
• Collaborating closely with the Engineering and Data Science teams to execute against product requirements and business-driven timelines
• Owning resolution of issues with OEM and aftermarket device partners that may impact data availability, quality, and latency via close collaboration with external and internal stakeholders
• Driving continuous improvement in feature availability and system performance of our OEM and aftermarket device partners through close collaboration and relationship building
  

Qualifications

Character

• Ownership-oriented – Self-manages and constantly pushes projects forward to achieve or exceed committed goals
• Organized – Thrives in environments working closely with multiple external partners, prioritizes and tracks items for clear visibility across stakeholders
• Customer-focused – Examines every problem and opportunity from the perspective of the customer, passionate about delivering a top-notch user experience
• Problem solver – Capitalizes on a demonstrated record of solving complex, real, and high-scale customer problems
• Analytical – Adept at generating insights from large data sets and leverages it to develop insights, products, and perspectives
• Collaborative – Develops strong working relationships with customers, partners, and colleagues, at all levels, to make/influence decisions
• Gets motivated by work in a fun, fast-paced, and intellectually challenging environment
  
  

Education & experience

• Bachelors degree in an engineering or technical field
• 1+ year(s) working in an auto-related industry or having strong knowledge of automotive systems
• 1+ year(s) working in a software engineering, data scientist, or product capacity on a data-focused or data-enabled software product