Senior AI Platform Product Manager

2K; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

2K is seeking a Senior Technical Product Manager to design and deploy AI infrastructure and shared services that power the company’s backend AI solutions. You’ll own the AI product pipeline, drive production readiness, and enable studios and publishing teams to leverage scalable AI capabilities.

You will partner with engineers and data scientists to optimize cost, latency, and reliability while communicating roadmap progress to senior leaders and ensuring governance compliance across projects.

Qualifications

• Proven track record in taking AI/ML products from concept to production used by customers.
• Ownership of a production AI system with accountability for availability, cost, and output quality.
• Fluency with modern AI patterns: retrieval, evaluation, fine-tuning, and guardrails.
• Experience owning platform or infrastructure products with large internal customer bases.
• Ability to treat governance and compliance as product surfaces to design.

Responsibilities

• Turn concepts into shared-service AI products and infrastructure with defined success metrics.
• Identify when central builds beat local or licensed tools and guide buy/build/wrap decisions.
• Publish and maintain a roadmap for AI investments and report progress, cost, and risk to leadership.
• Measure adoption, latency, inference cost per unit, and quality regression to prove value.
• Build an auditable AI governance framework with security and data provenance controls.
• Collaborate with engineers and data scientists on cost/latency tradeoffs and data pipelines.

Skills

AI product management

Production AI systems

Cost and value optimization

Stakeholder management

Communicating with executives

Data-driven decision making

Job description

2K is seeking a Senior Technical Product Manager to design and deploy AI infrastructure and shared services that power the company’s backend AI solutions. You’ll own the AI product pipeline, drive production readiness, and enable studios and publishing teams to leverage scalable AI capabilities.

You will partner with engineers and data scientists to optimize cost, latency, and reliability while communicating roadmap progress to senior leaders and ensuring governance compliance across projects.