Senior Technical Product Manager, AI at 2K Games in Austin, TX

Job description

Who We Are At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K , one of the top-selling franchises in the world, and legendary titles like BioShock® , Borderlands® , Mafia , Sid Meier’s Civilization® , and XCOM® , as well as fan favorites WWE® 2K , TopSpin® , and PGA TOUR® 2K . We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need We are seeking a Senior Technical Product Manager to build and ship the technology that 2K requires to safely, scalably, and efficiently leverage AI across the business. You will own the product pipeline for shared services and infrastructure for AI: identifying where 2K Technology should invest, defining what gets built, and driving it to a supported production service that studios and publishing teams depend on. This role suits a product manager who is highly focused on production outcomes and driving tangible business value. The work is judged on adoption, reliability, and cost. Success is enabling all 2K teams to maximize their leverage of 2K’s backend AI solutions. Duties Pipeline Ideas to Production: Turn concepts, prototypes, and business needs into shared-service products and infrastructure. Drive intake, prioritization, and acceptance, defining opportunity, customer, success metrics, and path to production before engineering commits. Find the Right Opportunities: Work with 2K teams to identify where a central build beats a local build or a licensed tool. Lead build, buy, and wrap calls with engineering, backed by evidence on cost, adoption, switching risk, and time to value. Partner and Communicate: Work with leaders across 2K to ensure AI investments extend existing capabilities. Publish a roadmap that customers and stakeholders can plan against, and report progress, cost, and risk to senior leadership. Measure Success: Track what tells you a product works: adoption, task success rate, inference cost per unit of work, latency, and quality regression. Build Governance In: Develop 2K's AI governance framework with Take-Two, Security, 2K Data, and 2K Trust & Safety. Instrument products so model usage, data provenance, and output handling are auditable by default, and teams building on central infrastructure inherit compliance rather than negotiate it. Engage Technically: Hold your own with engineers and data scientists on cost and latency tradeoffs, retrieval versus fine-tuning versus prompting, evaluation design, and the data pipelines underneath. Track a fast-moving field and tell 2K what actually matters. Must-Haves A strong professional track record in product management, including direct experience taking AI or machine learning products from concept into production use by real customers. Demonstrated ownership of a production AI system, with accountability for availability, cost, and output quality over time. Practical fluency with modern AI application patterns, including retrieval, evaluation, fine-tuning, agentic workflows, and guardrails. You know the failure modes of each and when not to use them. Experience owning platform or infrastructure products with broad internal customer bases and competing stakeholder priorities. Comfort treating governance, risk, and compliance as product surfaces to design, not obstacles to route around. Ability to distill technical tradeoffs into clear dec