
Gaming • Sports • B2C
DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.
1001 - 5000 employees
Founded 2012
🎮 Gaming
⚽ Sports
👥 B2C
Yesterday

Gaming • Sports • B2C
DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.
1001 - 5000 employees
Founded 2012
🎮 Gaming
⚽ Sports
👥 B2C
• Define and own product roadmaps for AI powered solutions that align with team and company goals • Translate business objectives, user needs, and technical opportunities into clear product requirements and success metrics • Collaborate with Engineering, Analytics, Enterprise Business teams, and Data Science teams to launch scalable, user-centric AI driven experiences • Evaluate model performance, latency, and quality metrics alongside user adoption and engagement data • Drive experimentation using model outputs, A/B testing, and product instrumentation to improve feature quality and impact • Lead AI delivery across multiple product iterations, balancing short-term priorities with longer-term platform needs • Stay current on AI trends and help assess where LLMs, agents, or predictive systems can create value • Identify and communicate trade-offs in AI product planning.
• Bachelor’s degree or any suitable combination of education, experience, and training • At least 5 years of experience in Product Management, including ownership of products involving data, ML, or automation • Strong grasp of experimentation, model feedback loops, and user behavior measurement • Ability to collaborate closely with technical teams on AI model lifecycle, inference constraints, and model monitoring • Track record of launching AI powered features that show measurable success • Skilled in prioritization, stakeholder alignment, and iterative delivery • Passion for building intelligent products and shaping how AI is used to enhance experience and efficiency.
• health insurance • retirement plans • paid time off • flexible work arrangements • professional development • bonuses • equity
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