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Gametime logo
Gametime

Uniting the world through shared experiences.

Senior ML/AI/Data Product Manager

Technical Product ManagerTechnical Product ManagerOtherRemoteSeniorTeam 201-500H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

137 days ago

Salary

$174.3K - $205K / year

Seniority

Senior

Bachelor Degree6 yrs expEnglishAirflowSQL

Job Description

Senior ML/AI/Data Product Manager

Gametime

• Partner with Applied ML engineers to define the requirements for discovery and ranking algorithms. • Identify and prioritize the data signals (user intent, historical behavior, market urgency) that will improve model accuracy and conversion. • Establish KPIs for ensuring that the roadmap translates directly into business growth. • Act as the Product Owner for our internal experimentation tools. • Define the technical requirements for automated triggering, variance reduction, and real-time result calculation. • Collaborate with Engineering to design and enforce a robust event-tracking schema. • Manage the lifecycle of data products from ingestion and dbt transformation to final consumption in the app or ML models. • Serve as the technical translator between the Data/ML teams and the core Product, Design, and Engineering (PDE) squads. • Lead the evaluation of third-party technical vendors (CDPs, ML Ops tools, Analytics stacks) vs. building proprietary in-house solutions. • Work with the XFN Stakeholders to ensure the technical data roadmap is synced with other teams.

Job Requirements

  • 6+ years as a Technical PM, Data Product Manager, or Data Scientist with a heavy focus on product shipping.
  • You can "speak engineer." You are comfortable discussing APIs, model latency, training-serving skew, and data pipeline orchestration (Airflow/dbt).
  • Solid understanding of machine learning fundamentals (Supervised vs. Unsupervised, Collaborative Filtering, Neural Networks) and how to evaluate model success.
  • Expert SQL. You don't wait for a report; you dive into the data yourself to validate a technical hypothesis.
  • You understand that technical excellence is useless if it doesn't solve a fan's problem. You prioritize technical debt vs. new features with a "value-first" mindset.
  • Degree in Computer Science, Engineering, Data Science, or a related technical field.

Benefits

  • Flexible PTO
  • Competitive salary & equity package
  • Monthly Gametime credits for any event ($1,200/yr)
  • Medical, dental, & vision insurance
  • Life insurance and disability benefits
  • Diverse Family-forming benefits through Carrot Fertility
  • 401k, HSA, pre-tax savings programs
  • Company off-sites and meet-ups
  • Wellness programs
  • Tenure recognition

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