Senior Technical Product Manager, AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the implementation and growth of AI agents throughout Teamworks' product suite.

• Collaborate with Product and Engineering teams to establish shared platform capabilities, technical standards, and integration needs.

• Oversee AI-driven workflows that link data and actions across various products.

• Establish and maintain AI quality standards, evaluation datasets, success metrics, and automated regression testing protocols.

• Enhance agentic functionalities by integrating embedded agent actions, dashboards, customer AI-tool integrations, and proactive notifications.

• Work alongside go-to-market teams to analyze usage metrics, customer permissions, product packaging, and visibility of customer capabilities.

• Facilitate alignment among product, engineering, and commercial teams.

• Transition Ask Teamworks agents from beta to full availability and promote adoption across sports and international markets.

• Assist product teams in applying shared platform standards while responsibly managing sensitive athlete information.

⛳️ Requirements

• Minimum of 5 years of experience in software engineering or technical product management focused on building production systems.

• Proven history of delivering an LLM-based or agentic product to actual users, demonstrating adoption or customer value.

• Experience in product ownership within B2B SaaS, vertical AI, platform, or developer products.

• Technical proficiency in system architecture, data flows, retrieval processes, tool interaction, permissions, and production failure scenarios.

• Practical experience in AI evaluation, encompassing datasets, rubrics, regression testing, human review, and release thresholds.

• Ability to drive a shared platform or standard across teams without direct authority.

• Background as a backend, platform, data, or distributed-systems engineer is a plus.

• Hands-on experience with MCP, Mastra, or custom-built prototypes is advantageous.

• Familiarity with permissions for sensitive data, such as health records or PII, or experience with usage-based pricing is beneficial.

• Subject-matter expertise in American football, soccer, hockey, or basketball is a plus.

• Legal eligibility to work in the specified location without employer sponsorship, now or in the future.

🏝️ Benefits

• Equity opportunities.

• Compensation based on experience, skills, and performance during the interview.

• Opportunities for career advancement.

• Long-term financial security options.

• Reasonable accommodations available for candidates with disabilities.