Senior Technical Product Manager, AI

Teamworks

1d • $185,000 - $185,000

About The Position

Teamworks is hiring a Senior Product Manager, AI Platform to own and scale Ask Teamworks and the shared platform behind AI experiences across its product suite. Ask Teamworks is in beta in two products, and the role will help take those agents to general availability, support product teams in building to shared standards, and create trusted workflows from data spanning multiple products.

This is a build-and-scale role combining platform ownership with work on customer-facing experiences. The role leads the rollout and expansion of AI agents across Teamworks’ product portfolio and partners with product and engineering teams to define shared platform capabilities, technical standards, and integration requirements. It also owns AI-powered workflows that connect data and actions across products, with appropriate permissions and user confirmation.

The position defines and manages AI quality standards, including evaluation datasets, success criteria, and automated regression testing. It expands agent capabilities into embedded actions, dashboards, integrations with customers’ AI tools, and proactive alerts. The role also collaborates with go-to-market teams on usage measurement, customer allowances, product packaging, and visibility into customer access to AI capabilities.

The role calls for cross-functional alignment without direct authority, balancing customer needs, technical dependencies, and responsible handling of sensitive athlete data. It combines platform leadership with hands-on building within individual products, across multiple sports and regions. The position is not eligible for sponsorship at this time.

Requirements

• At least 5 years of software engineering or technical product management 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, including coordination across products and functions.
• 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.
• Ability to connect customer workflows, technical decisions, and product priorities, with a focus on helping teams work faster and building products customers trust and use regularly.

Nice To Haves

• Three or more years of experience as a backend, platform, data, or distributed-systems engineer.
• Recent hands-on experience with MCP, agent frameworks such as Mastra, or prototypes built independently.
• Experience with permissions for sensitive data, including health records or PII, or with usage-based pricing.
• Subject-matter expertise in American football, soccer, hockey, or basketball.

Responsibilities

• Lead rollout and expansion of AI agents across Teamworks’ product portfolio, partnering with product teams to move capabilities 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 for consistent, reliable AI experiences.
• Own AI-powered workflows connecting data and actions across products while maintaining appropriate permissions and user confirmation.
• Define and manage AI quality standards, including evaluation datasets, success criteria, and automated regression testing.
• Expand agentic capabilities into product-embedded actions, dashboards, integrations with customers’ AI tools, and proactive alerts; prioritize opportunities with meaningful customer value.
• Collaborate with go-to-market teams on usage measurement, customer allowances, product packaging, and 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed