Promotional Strategy & Monetization Specialist

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. 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. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
As a Promotional Strategy & Monetization Specialist, you'll shape the strategy behind how DraftKings utilizes generosity to drive revenue growth. You'll help develop, test, and scale promotional campaigns that balance customer satisfaction and profit. Your collaborative skills will be put to use as you'll work closely with cross-functional teams to drive smarter monetization decisions through customer analysis, experimentation and behavioral modeling. This is a highly analytical, math-driven role focused on maximizing long-term customer value.
What you'll do as a Promotional Strategy & Monetization Specialist

• Design and execute promotional campaigns that drive customer behavior while exceeding profitability targets.
• Partner with Product and Data Science to build and scale intelligent offer systems, including personalization models.
• Lead experimentation strategy for promotional profitization, including test design, analysis, and optimization.
• Collaborate with Analytics to model customer value, track bet-level economics, and evaluate long-term impact.
• Align closely with CRM, Finance, and Product teams to support campaign planning, execution and reporting.
• Maintain and enhance the core tools-dashboards, documentation, and frameworks-that guide promotional decisions.
• Contribute to budget strategies by advocating for investment based on predictive customer value.
• Provide strategic input into the evolution of generosity as a lever for monetization across the Sportsbook.

What you'll bring

• At least 3 years of experience in operations, analytics, or marketing strategy, with a focus on monetization.
• Bachelor's Degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
• Proficiency in SQL and data visualization tools such as Tableau; experience with Python or R is a plus.
• Experience designing and analyzing experiments and ability to distill complex data into clear recommendations to inform business strategy.
• A strong knowledge of sports betting or a passion for the sports industry.
• A strong understanding of customer segmentation, value modeling, and ROI-based decision-making
• Strong organizational skills and the ability to work autonomously in a fast-paced, data-driven environment.
• Comfort with ambiguity and a proactive approach to building new processes and framework.

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Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 85,600.00 USD - 107,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.