Senior Product Manager, Chess AI

Chess.com

Completely RemoteFull TimeEngineering & Architecture
Posted 1 months ago

This role is no longer accepting applications.

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Job description

Responsibilities

  • Shape the AI/ML roadmap and long-term vision to help users learn and improve at chess
  • Expand the role of AI in core products like Game Review, Play Coach, and FairPlay
  • Lead new initiatives including human-like bots and personalized coaching
  • Partner deeply with engineering to define technical approaches and drive execution
  • Define success metrics and evaluation criteria for AI models in ambiguous environments
  • Use AI tools to prototype, de-risk, and accelerate product development
  • Communicate clearly and asynchronously in a globally remote environment

Requirements

  • 7+ years of experience in product management
  • 4+ years of experience shipping consumer-facing AI/ML products
  • Experience working with LLMs and quantitative ML models
  • Technical fluency in engineering pipelines and data-driven decision making
  • Ability to provide substantial overlap with US Eastern and Pacific time zones

Preferred Qualifications

  • Deep passion for chess and familiarity with the Chess.com product suite
  • Excellent product taste and understanding of user needs across different skill levels
  • AI-native workflow, using AI daily to prototype and explore ideas
  • High-velocity written communication skills for a remote-first culture

About the Company

Chess.com is the world's #1 platform for playing, learning, and enjoying chess, supporting over 200 million players worldwide. We are a fully remote team of over 600 people across 60+ countries, driven by a mission to serve the global chess community through cutting-edge technology and passion for the game.

Skills & tools

AIMachine LearningLLM

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017+ years in product management
  2. 024+ years shipping consumer AI/ML products
  3. 03Experience with LLMs and quantitative ML models
  4. 04Technical fluency in engineering pipelines and data
  5. 05Ability to overlap with US Eastern and Pacific time zones
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