Gametime · 2 hours ago
Senior ML/AI/Data Technical Product Manager
United States
Full-time
Remote
Senior Level
$174K/yr - $205K/yr
6+ years expGametimeunited is a company dedicated to uniting the world through shared live experiences. As the Senior Technical PM for Data and Applied ML, you will bridge product vision and engineering execution, focusing on building intelligent infrastructure for personalized experiences.
E-CommerceEventsMedia and EntertainmentMobile AppsTicketing
Responsibilities
Model Productization: Partner with Applied ML engineers to define the requirements for discovery and ranking algorithms. You determine the "what" (e.g., personalized event feeds) while they build the "how."
Feature Engineering Strategy: Identify and prioritize the data signals (user intent, historical behavior, market urgency) that will improve model accuracy and conversion
Business Impact: Establish KPIs for ensuring that the roadmap translates directly into business growth
Experimentation Platform (XP): Act as the Product Owner for our internal experimentation tools. Define the technical requirements for automated triggering, variance reduction, and real-time result calculation
Tracking & Schema Design: Collaborate with Engineering to design and enforce a robust event-tracking schema. You ensure that our data "source of truth" is clean, scalable, and built for complex analysis
Data Product Lifecycle: Manage the lifecycle of data products from ingestion and dbt transformation to final consumption in the app or ML models
XFN Liaison: Serve as the technical translator between the Data/ML teams and the core Product, Design, and Engineering (PDE) squads
Buy vs. Build: Lead the evaluation of third-party technical vendors (CDPs, ML Ops tools, Analytics stacks) vs. building proprietary in-house solutions
Stakeholder Alignment: Work with the XFN Stakeholders to ensure the technical data roadmap is synced with other teams
Qualification
Required
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
Company
Gametime
Gametime sells last-minute tickets to the most popular events in sports, music, and theater.
201-500 employees
H1B Sponsorship
Gametime has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (2)
2022 (1)
2020 (3)
Funding
Current Stage
Growth StageTotal Funding
$71.6MKey Investors
Nimble PartnersEvolution MediaAccel
2022-05-26Series C· $30M
2017-09-13Series Unknown· $8.2M
2016-09-21Series B· $20M
Leadership Team
Brad Griffith
CEO
Recent News
2025-12-10
2025-10-20
Company data provided by crunchbase