Motorq
Associate Product Manager - Data Integrations
Motorq, San Francisco, California, United States, 94199
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 outputsDeveloping and documenting clear and comprehensive product requirementsEnsuring high quality outputs (telemetry data and insights) across our integrated partners via metrics monitoring, partner collaboration, in-vehicle testing, and other approachesCollaborating closely with the Engineering and Data Science teams to execute against product requirements and business-driven timelinesOwning resolution of issues with OEM and aftermarket device partners that may impact data availability, quality, and latency via close collaboration with external and internal stakeholdersDriving continuous improvement in feature availability and system performance of our OEM and aftermarket device partners through close collaboration and relationship buildingQualifications
Character
Ownership-oriented – Self-manages and constantly pushes projects forward to achieve or exceed committed goalsOrganized – Thrives in environments working closely with multiple external partners, prioritizes and tracks items for clear visibility across stakeholdersCustomer-focused – Examines every problem and opportunity from the perspective of the customer, passionate about delivering a top-notch user experienceProblem solver – Capitalizes on a demonstrated record of solving complex, real, and high-scale customer problemsAnalytical – Adept at generating insights from large data sets and leverages it to develop insights, products, and perspectivesCollaborative – Develops strong working relationships with customers, partners, and colleagues, at all levels, to make/influence decisionsGets motivated by work in a fun, fast-paced, and intellectually challenging environmentEducation & experience
Bachelor's degree in an engineering or technical field1+ year(s) working in an auto-related industry or having strong knowledge of automotive systems1+ year(s) working in a software engineering, data scientist, or product capacity on a data-focused or data-enabled software product
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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 outputsDeveloping and documenting clear and comprehensive product requirementsEnsuring high quality outputs (telemetry data and insights) across our integrated partners via metrics monitoring, partner collaboration, in-vehicle testing, and other approachesCollaborating closely with the Engineering and Data Science teams to execute against product requirements and business-driven timelinesOwning resolution of issues with OEM and aftermarket device partners that may impact data availability, quality, and latency via close collaboration with external and internal stakeholdersDriving continuous improvement in feature availability and system performance of our OEM and aftermarket device partners through close collaboration and relationship buildingQualifications
Character
Ownership-oriented – Self-manages and constantly pushes projects forward to achieve or exceed committed goalsOrganized – Thrives in environments working closely with multiple external partners, prioritizes and tracks items for clear visibility across stakeholdersCustomer-focused – Examines every problem and opportunity from the perspective of the customer, passionate about delivering a top-notch user experienceProblem solver – Capitalizes on a demonstrated record of solving complex, real, and high-scale customer problemsAnalytical – Adept at generating insights from large data sets and leverages it to develop insights, products, and perspectivesCollaborative – Develops strong working relationships with customers, partners, and colleagues, at all levels, to make/influence decisionsGets motivated by work in a fun, fast-paced, and intellectually challenging environmentEducation & experience
Bachelor's degree in an engineering or technical field1+ year(s) working in an auto-related industry or having strong knowledge of automotive systems1+ year(s) working in a software engineering, data scientist, or product capacity on a data-focused or data-enabled software product
#J-18808-Ljbffr