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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI agent rollout and expansion, with a strong focus on product ownership in B2B SaaS and vertical AI. Proven ability to manage AI quality standards and collaborate across teams while handling sensitive data responsibly.
Highest-signal resume keywords
AI Agent RolloutProduct Ownership in B2B SaaSTechnical Fluency in Architecture and Data FlowsHands-On AI Evaluation ExperienceExperience with Permissions for Sensitive Data
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringTechnical Product ManagementLLM-Based Product DevelopmentAI EvaluationRegression TestingData FlowsProduction SystemsBackend EngineeringDistributed Systems EngineeringPlatform Standards
Soft Skills
CollaborationAlignment Across TeamsCustomer Value Focus
Tools & Technologies
MCPMastraPrototypes
Industry Keywords
B2B SaaSVertical AISensitive Data ManagementUsage-Based PricingAmerican FootballSoccerHockeyBasketball
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Equity
- Compensation determined by experience, skills, and interview performance
- Career advancement opportunities
- Long-term financial security opportunities
- Reasonable accommodations for candidates with disabilities