Remote
Product Manager II - Trading, Data & Pricing
About this role
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom.
Ready to reimagine the DFS industry together? PrizePicks, the leading DFS platform known for accessibility and a thriving community, is seeking a rockstar Product Manager to join the Trading & Data Platform team. You’ll work closely with data science, engineering, and game operations to develop innovative features, optimize trading processes, and elevate the user experience across our games and services. What you’ll do: Product Vision & Strategy: Develop and communicate product vision, strategy, and roadmap for data products (recommender engine outputs, machine learning predictions and more) Identify and implement strategies to maximize revenue generation opportunities within the trading and data segment, including pricing optimization, upsell opportunities, and more Identify opportunities to innovate and improve products, while ensuring a best in class user experience by synthesizing customer pain points, user research, analysis, and stakeholder feedback Execute: Execute on our team’s product vision, strategy, and roadmap Define and execute on technical requirements, launch strategy, and overall vision of the product.
Own the end-to-end product lifecycle, from ideation to launch and ongoing optimization. Collaborate: Collaborate with engineers and data scientists to define, build, and iterate on best-in-class trading and data tools. Champion a data-driven approach to product decision-making. Foster a culture of collaboration across all levels of the team and organization. Industry Knowledge: Deeply understand the DFS landscape, particularly player behavior and data consumption trends.
What you have: Role Specific: Experience working with internal data engineering & data science teams and external data providers. Familiarity with production quality & near real time consumer facing machine learning implementations. Strong understanding of data analysis principles and how to leverage data to inform product decisions. Past Experiences: 3+ years of experience in product management or related disciplines Proven track record of shipping successful products that drive user engagement and business growth.