Product Manager II - Trading, Data & Pricing

About PrizePicks

PrizePicks is the leading platform for Daily Fantasy Sports (DFS), covering 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.

Role Overview

PrizePicks is seeking a 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.

Responsibilities

• 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 and upsell opportunities.
- 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 the 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.

Qualifications

• 3+ years of experience in product management or related disciplines.
• Proven track record of shipping successful products that drive user engagement and business growth.
• Documented results of building data-backed products that have garnered widespread adoption.
• Experience working with internal data engineering & data science teams and external data providers.
• Familiarity with production-quality and near-real-time consumer-facing machine learning implementations.
• Strong understanding of data analysis principles and how to leverage data to inform product decisions.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across functions.
• A strategic mindset with a knack for translating business goals into actionable product initiatives.
• Passion for daily fantasy sports or tangential industries with an understanding of the competitive landscape.

Nice-to-Haves

• Experience working directly with data teams responsible for sports projection models.
• Passion for sports and/or gaming.
• Familiarity with data visualization tools and APIs.
• Ability to work with and define ambiguity.

Additional Information

• You must be authorized to work for any employer in the U.S. (Visa sponsorship is not available).