PRODUCT MANAGER II, AI at DraftKings
Boston, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

31 Oct, 25

Salary

147400.0

Posted On

31 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Scalability, A/B Testing, Product Management, Kubernetes, Health, Fintech, Causal Inference

Industry

Information Technology/IT

Description

ABOUT DRAFTKINGS

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

READY TO OWN WHAT’S NEXT?

We know finding a new job can be intimidating. Don’t let imposter syndrome stop you from applying! Even if you don’t think you tick off every box in this job description, we’d still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
JR1167

Responsibilities
  • Partner with Engineering, Data Science, and domain leaders to surface high‑impact automation and decision‑support use cases and sequence them into a staged roadmap that accelerates DraftKings’ AI‑transformation goals.
  • Deliver SDKs, templates, and documentation so any DraftKings team can spin up compliant, observable AI agents without reinventing the wheel.
  • Gather requirements from operators, analysts, product managers, and marketers; convert them into clear platform capabilities, agent behaviors, API contracts, and success metrics.
  • Drive squads through PoCs, model selection, evaluation, A/B testing, and production deployment—championing responsible‑AI practices every step of the way.
  • Define and own KPIs such as time‑to‑insight, workflow‑automation %, cost savings, and agent adoption; build dashboards that reveal what’s working (and what’s not).
  • Partner with Security, Legal, and Compliance on data privacy, bias detection, and model‑governance policies so innovation never outruns our responsibilities.
  • Host demos and craft playbooks that raise AI literacy company‑wide and ensure new capabilities land with maximum impact.
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