Senior Technical Product Manager, AI

🕒 October 26

🇺🇸 United States – Remote

💵 $185k / year

⏰ Full Time

🟠 Senior

⚒️ Technical Product Manager (TPM)

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Teamworks

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $235M Series F - Teamworks on 2025-06

Consulting • Healthcare • Logistics

Teamworks is a SaaS "Operating System for Sports" that unifies communication, roster and personnel management, scheduling, performance, coaching, compliance, inventory, nutrition, and other operations for professional, collegiate, Olympic/NGB, and military/tactical teams. The platform centralizes workflows, file sharing, automated processes, and AI-driven analytics (Teamworks Intelligence) to inform talent acquisition, roster construction, athlete evaluation, and game strategy. Teamworks serves thousands of teams and hundreds of collegiate departments and professional organizations worldwide, helping organizations coordinate staff and athletes, streamline operations, and improve performance.

📋 Description

• Lead rollout and expansion of AI agents across Teamworks' product portfolio • Partner with Product and Engineering to define shared platform capabilities, technical standards, and integration requirements • Own AI-powered workflows connecting data and actions across products • Define and manage AI quality standards, evaluation datasets, success criteria, and automated regression testing • Expand agentic capabilities into embedded agent actions, dashboards, customer AI-tool integrations, and proactive alerts • Collaborate with go-to-market teams on usage measurement, customer allowances, product packaging, and customer capability visibility • Drive alignment across product, engineering, and commercial teams • Move Ask Teamworks agents from beta to general availability and scale adoption across sports and global markets • Help product teams apply shared platform standards while handling sensitive athlete data responsibly

🎯 Requirements

• 5+ years of software engineering or technical product management experience building production systems • 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 • Technical fluency in 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 • Experience as a backend, platform, data, or distributed-systems engineer is an advantage • Hands-on experience with MCP, Mastra, or self-built prototypes is an advantage • Experience with permissions for sensitive data, including health records or PII, or usage-based pricing is an advantage • Subject-matter expertise in American football, soccer, hockey, or basketball is an advantage • Legal right to work in the indicated location without employer sponsorship now or in the future

🏖️ Benefits

• Equity • Compensation determined by experience, skills, and interview performance • Career advancement opportunities • Long-term financial security opportunities • Reasonable accommodations for candidates with disabilities

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