Senior ML/AI/Data Technical Product Manager, Gametime
$174.3-205k
+ Equity
Last-minute ticket platform
Be an early applicant
Last-minute ticket platform
201-500 employees
Be an early applicant
$174.3-205k
+ Equity
201-500 employees
Company mission
To connect people trough incredible shared experiences.
Role
Who you are
- Experience: 6+ years as a Technical PM, Data Product Manager, or Data Scientist with a heavy focus on product shipping
- Technical Depth: You can "speak engineer." You are comfortable discussing APIs, model latency, training-serving skew, and data pipeline orchestration (Airflow/dbt)
- ML Fluency: Solid understanding of machine learning fundamentals (Supervised vs. Unsupervised, Collaborative Filtering, Neural Networks) and how to evaluate model success
- Analytical Power: Expert SQL. You don't wait for a report; you dive into the data yourself to validate a technical hypothesis
- Product Sense: 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
- Education: Degree in Computer Science, Engineering, Data Science, or a related technical field
What the job involves
- As the Senior Technical PM for Data and Applied ML, you sit at the intersection of product vision and engineering execution
- You will be the "bridge" that translates complex product goals into technical requirements for our data and machine learning teams
- Your mission is to build the intelligent infrastructure—ranking algorithms, recommendation engines, and experimentation platforms—that creates a seamless, personalized experience for every Gametime fan
- Applied ML & Personalization Roadmap:
- 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
- Technical Infrastructure & Experimentation:
- 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
- Strategic Technical Partnership:
- 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
Our take
Gamtime is a last-minute event ticketing platform that aims to stand out from the myriad of other similar apps by allowing customers to buy a ticket after the event has started. The reason for this is that ticket prices for sports often fall dramatically after the game has started, making the most of the easy-to-use, quick-buy app's features.
Though this may only cater to a small percentage of its customers, it exemplifies a certain boundary pushing from the company. This is clearly something that the market supports, given its substantial fundraising from the likes of Bolt Ventures and Maven Ventures. In addition, Gametime’s position as both a seller and buyer marketplace has placed it in a great position as a commentator on live events, collecting valuable data.
With the demand for great-value event tickets likely to continue to grow, Gametime is in a prime position to capitalize on this trend. Although the company only sells tickets for the North American continent, it is seeing huge revenue across the sports, theatre, and music concert markets - and aims to use its funds to further enhance its products and market its app to younger eventgoers.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2022
$30m
EARLY VC
Sep 2017
$8.2m
EARLY VC
Total funding: $71.5m
Company benefits
- Health Benefits: Medical, dental, and vision coverage for you and your dependents
- Equity: An ownership stake in the company you'll be helping to build
- Flexible PTO: 'Take what you need' vacation policy (we actually mean it)
- Remote First: Fully remote company
- Remote Work stipend: Monthly stipend to offset the cost of internet and any home office updates
- Paid Parental Leave: Peace of mind for parents to dedicate their time to the care of their new child
- Gametime Credit: Monthly Gametime credit to experience the product for yourself
- Team Celebrations: Company meetups and events in different cities across the US
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Brad Griffith
(Founder & CEO)Currently Visiting Lecturer at Stanford Graduate School of Business. Previously worked in Growth, iOS Development and Interactive Marketing at Zappedy, and was a Quantitative Researcher at LOLapps.
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