DraftKings

DraftKings

New York, NY
4,500 Total Employees
Year Founded: 2012

Teams at DraftKings

Team

The Offense Driving Innovation

What does it take to maintain a platform leveraged by millions of sports fans? According to the product and tech teams at DraftKings, the answer is innovation, collaboration — and community. For engineers across the company, every day offers a fresh set of challenges, which can be overcome with the right set of tools, support from leaders and a desire to seek novel solutions. Whether they’re building out a roadmap or creating user-interface designs, tech team members are continuously searching for ways to redefine the sports entertainment industry — while refining their unique talents in the process. “DraftKings is a great place to learn and grow,” said Emily Fischels, a site reliability engineer. “I’m excited to be a part of the company."

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Search the 24 jobs at DraftKings

Recently posted jobs

Digital Media • Gaming • Information Technology • Software • Sports • eSports
Senior Associate Delivery Manager responsible for leading cross-functional projects, executing roadmaps, and managing engineering operations. Facilitates Agile ceremonies, identifies process improvements, manages stakeholders, and ensures compliance. Requires Scrum Master experience, software development knowledge, and excellent communication skills.
6 Hours Ago
NYC
Remote
Digital Media • Gaming • Information Technology • Software • Sports • eSports
The Stock Plan Manager at DraftKings will support and implement the global equity compensation program, collaborate with various internal teams, ensure stock plan compliance, and manage external equity vendors. This role requires 7+ years of global stock plan administration experience, analytical skills, attention to detail, and proficiency in Microsoft and Google products.
Digital Media • Gaming • Information Technology • Software • Sports • eSports
As a Product Manager II on the Data Science Product Management Team, drive the strategy and roadmap for Enterprise Data Science tools, focusing on Experimentation and Machine Learning Platform tools. Manage the creation and prioritization of the ML Platform and MLOps strategy, scale best practices, organize training, and build documentation to enhance knowledge on MLOps and experimentation across teams.