DraftKings

DraftKings

Corporate Counsel, Gaming Regulations

Remote - US · Full-time

Sponsorship not specifiedDetected 137 days ago
Communication

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities.
  • Our teams are energized by innovation and readily embrace emerging technology.
  • We're not waiting for the future to arrive.

Responsibilities

  • Partner with business teams to assess and navigate legal and regulatory issues affecting licensed and regulated product offerings.
  • Engage with regulators to anticipate, manage, and resolve issues related to the application of regulations to products and operations.
  • Collaborate with attorneys across the Legal Team to align on cross-functional legal strategies and guidance.
  • Manage and oversee outside counsel to support specialized regulatory and legal matters when needed.
  • Support the Compliance, Product, and other Teams by interpreting regulatory, licensing, and enforcement requirements.

Requirements

  • A Juris Doctor Degree from an accredited law school with strong academic credentials.

Compensation

  • The US base salary range for this full-time position is 160,800.00 USD - 201,000.00 USD, plus bonus, equity, and benefits as applicable.

Company info

  • At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas.

This listing is sourced directly from DraftKings's careers page and normalized into a canonical job model.