Job Description

• 3–7 years of Product Management experience, with a focus on data products, platforms, or analytics solutions
• Proven ability to work with data teams on pipelines, ETL processes, APIs, and data architecture concepts
• Experience managing external vendor relationships, licensing agreements, or third-party data integrations
• Hands-on experience delivering products leveraging complex datasets (e.g., categorization, forecasting, benchmarking, optimization)
• Strong analytical skills, including the ability to interpret data models, dashboards, and usage metrics to inform product strategy
• Familiarity with SQL, data warehousing (e.g., Snowflake, Redshift, BigQuery), or BI tools (e.g., Tableau, Looker, Power BI) preferred
• Background in automotive fixed ops, transportation, logistics, or similar industries strongly preferred
• Demonstrated ability to partner with Engineering and Data Science teams to deliver scalable, high-impact products
• Excellent communication and stakeholder management skills, with the ability to explain technical data concepts in business terms
• Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field preferred
• Pragmatic Institute Certification or similar product training a plus

• Own the data platform roadmap. Prioritize and manage initiatives for ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products.
• Manage vendor relationships. Evaluate, negotiate, and oversee external data partnerships, ensuring quality, cost-effectiveness, and compliance
• Lead internal data initiatives and guide the Data team in building categorization logic, enrichment pipelines, and insights layers to support reporting, analytics, and product functionality.
• Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will power customer facing applications
• Partner with Engineering and Data teams to ensure robust architecture, scalability, and high quality data availability across products
• Drive insight generation and collaborate with Data Science and Analytics teams to surface KPIs, benchmarks, and predictive capabilities that improve client outcomes.
• Champion data quality and governance by setting standards for accuracy, consistency, and transparency across datasets.
• Translate business needs into data capabilities, ensuring customer requirements are met with clear, actionable use cases.
• Support go-to-market readiness by enabling Marketing, Sales, and Client Success with the right narratives, use cases, and enablement tools around data driven features.
• Evaluate new data opportunities and identify emerging data sources, licensing models, and enrichment services that can expand product capabilities.

• Excellent benefits including health, dental, and vision insurance, stock options, work from home and flexible scheduling depending on job requirements, professional development opportunities, 9 paid holidays, and 15 days PTO.
• Home office setup support for remote employees.
• A welcome “swag bag” with branded clothing as an official welcome to the team.
• The chance to work for an organization that puts people first and fosters a culture of teamwork, integrity, communication, accountability, and positive attitude!