Job Description:
• Own coach-member marketplace KPIs and use data to drive continuous improvement: match quality, time-to-match, coach utilization, member satisfaction, coach satisfaction, matching efficiency and cost.
• Develop and execute the strategy to move Mento’s matching from human-powered to AI-augmented within 3–4 months.
• Own and optimize the full member journey and enable transition from a hands-on member experience to a high-touch, personalized experience that can scale.
• Design experiments to measure model performance vs. human decisions: accuracy, match quality, failure modes, and edge cases.
• Lead with an experimentation mindset – constantly piloting tools, testing solutions, and running experiments that increase efficiency and improve outcomes without sacrificing personalization.
• Maintain deep knowledge of member personas and coach profiles (specializations, styles, capacity) to inform both manual and algorithmic matching decisions.
Requirements:
• + years of hands-on experience using LLMs and AI tools to improve workflows in a professional setting, with clear examples and measurable results.
• Experience improving matching, pairing, or recommendation systems in a two-sided marketplace (coaching, recruiting, talent, matchmaking, etc.).
• Project management and process improvement experience with measurable results
• Comfort/fluency with AI tools, CRM systems (Hubspot), workflow automation platforms (Zapier), and scheduling tools.
Benefits:
• Competitive salary and equity
• Medical, dental, vision, and a 401k plan
• Unlimited vacation (We actually mean this! it's important to keep yourself fresh)
• Access to your own Mento Coach
• Commuter benefits for Bay Area transportation