Sr. Product Owner - GM Motorsports

Location: Hybrid in Austin, Texas or Concord, North Carolina; onsite attendance is required at least three times per week.

Company

hirify.global develops automotive products and works toward a future with zero crashes, zero emissions, and zero congestion.

What you will do

• Own the product vision, multi-release roadmap, prioritized backlog, and delivery execution for GM Motorsports data and analytics products.
• Lead scrum activities for data science and data engineering teams, including refinement, sprint planning, reviews, and retrospectives.
• Partner with Strategy, Vehicle Performance, and Competition Engineering stakeholders across NASCAR, IndyCar, and other GM racing programs.
• Translate business objectives and complex requirements into implementable features, experiments, user stories, and acceptance criteria.
• Coordinate dependencies across motorsport engineering, IT, security, operations, architects, and product partners.
• Define and track product KPIs and adoption metrics while communicating priorities, risks, and recommendations to senior leadership.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data/Analytics, Business, or a related field, or equivalent experience.
• At least 5 years of experience in product management, product ownership, business analysis, systems analysis, or a similar role.
• Experience defining product vision and roadmaps, managing complex backlogs, and delivering digital or data products in an agile environment.
• Experience as a Product Owner or scrum lead for data, analytics, or software teams.
• Ability to work cross-functionally, influence without formal authority, communicate with senior stakeholders, and translate technical concepts into business language.
• GM does not provide immigration-related sponsorship; applicants must not require GM sponsorship or immigration support now or in the future.

Nice to have

• Experience owning data-heavy products involving performance analytics, telemetry, data contracts, SLAs, or downstream data quality.
• Familiarity with Azure, Databricks, Spark, Kafka, modern data pipelines, analytics, BI, experimentation, and ML platforms.
• Knowledge of data lakes, lakehouses, batch and streaming pipelines, warehousing, orchestration, and observability.
• Product ownership experience in automotive, mobility, manufacturing, motorsports, aerospace, or a similar engineering-heavy domain.
• Agile certifications such as CSPO, PSPO, or Scrum Master.

Culture & Benefits

• Hybrid work arrangement with regular reporting to the assigned location.
• The role may be eligible for relocation benefits.
• Employee total rewards and benefits support well-being at work and at home.
• Inclusive workplace focused on belonging, integrity, customer commitment, innovation, and teamwork.

Hiring process

• The recruitment process may include a role-related assessment and pre-employment screening.