Teamworks Senior Technical Product Manager, AI at Teamworks leads rollout and scaling of AI agents across the product portfolio. Owns platform capabilities, AI quality standards, and cross-team alignment for AI-powered workflows.
Responsibilities
Lead the rollout and expansion of AI agents across Teamworks' product portfolio, partnering with product teams to move from beta to general availability and scale adoption across sports and global markets.
Partner with Product and Engineering to define shared platform capabilities, technical standards and integration requirements that enable teams to build consistent, reliable AI experiences.
Own the development of AI-powered workflows that connect data and actions across products, helping customers move from insights to action while maintaining appropriate permissions and user confirmation.
Define and manage AI quality standards, including evaluation datasets, success criteria and automated regression testing, to ensure new capabilities are ready for release and remain reliable as they evolve.
Expand agentic capabilities beyond conversational assistants into product-embedded agent actions, dashboards, integrations with customers' AI tools and proactive alerts, prioritizing opportunities that deliver meaningful customer value.
Collaborate with go-to-market teams to shape usage measurement, customer allowances and product packaging, and provide clear visibility into which AI capabilities are available to each customer.
Drive alignment across product, engineering and commercial teams without direct authority, balancing customer needs, technical dependencies and responsible handling of sensitive athlete data.
Qualification
What You Must BringHands-on AI evaluation experience
Required
What You Must Bring
5+ years of software engineering or technical PM experience building production systems, before or alongside moving into product
A track record of shipping an LLM-based or agentic product to real users, with evidence of adoption or customer value
Product ownership experience in B2B SaaS, vertical AI, platform or developer products, with experience coordinating across products and functions
The technical fluency to influence architecture, data flows, retrieval, tool calling, permissions and production failure modes
Hands-on AI evaluation experience, including datasets, rubrics, regression testing, human review and release thresholds
Experience driving a shared platform or standard across teams without direct authority
The ability to connect customer workflows, technical decisions and product priorities, with a focus on making teams faster and building products customers trust enough to use every day
You've recently worked hands-on with MCP, agent frameworks such as Mastra, or prototypes you built yourself
The challenge is making AI work across six-plus sports, three regions and both central and embedded product experiences. Each product team builds its own AI tools, while a small platform team owns the shared contracts and evaluation system that make those tools work together. You'll combine platform leadership with hands-on building within individual products, helping teams put the platform into practice.
You'll think like an engineer and decide like a product leader, moving from a coach's Monday workflow to a tool schema to a roadmap decision. The shared athlete identity and permission systems are being built now, so some ideas will need to wait. A wrong answer about an athlete's health has real consequences. This role calls for judgment about what to build, what to defer and when an experience is ready for customers to trust.
This role is not eligible for sponsorship at this time.
