Product Manager II – Trading, Data & Pricing

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. Develop and communicate product vision, strategy, and roadmap for data products, including recommender engine outputs and machine learning predictions .

Posted 10/26/2026full-timeAtlanta • United StatesMid-LevelSenior💰 $130,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on data-driven decision-making, strategic planning, and collaboration with engineering and data science teams. Proven ability to innovate and optimize products within the daily fantasy sports landscape.

Highest-signal resume keywords

Product ManagementData Analysis PrinciplesMachine Learning ImplementationsCollaboration Across FunctionsRevenue-Generation Strategies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Vision DevelopmentTechnical Requirements DefinitionEnd-to-End Product Lifecycle ManagementUser Engagement StrategiesData-Driven Product Development

Soft Skills

Excellent CommunicationInterpersonal SkillsStrategic MindsetEntrepreneurial DriveCustomer Empathy

Tools & Technologies

Data Visualization ToolsAPIsRecommender Engine Outputs

Industry Keywords

Daily Fantasy SportsData Consumption TrendsSports Projection ModelsCustomer Pain PointsUser Research

About the role

Key responsibilities & impact

Develop and communicate product vision, strategy, and roadmap for data products, including recommender engine outputs and machine learning predictions
Identify and implement revenue-generation strategies within trading and data, including pricing optimization and upsell opportunities
Identify product innovation opportunities by synthesizing customer pain points, user research, analysis, and stakeholder feedback
Execute the product vision, strategy, and roadmap
Define and execute technical requirements, launch strategy, and overall product vision
Own the end-to-end product lifecycle from ideation through launch and ongoing optimization
Collaborate with engineers and data scientists to define, build, and iterate on trading and data tools
Champion data-driven product decision-making
Foster collaboration across all levels of the team and organization
Develop deep understanding of the daily fantasy sports landscape, player behavior, and data consumption trends

Requirements

What you’ll need

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 leveraging data to inform product decisions
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 widely adopted, data-driven products for a large audience
Excellent communication and interpersonal skills, with ability to collaborate across functions
Strategic mindset translating business goals into actionable product initiatives
Entrepreneurial drive, passion for the mission, and customer empathy
Passion for daily fantasy sports or tangential industries and understanding of the competitive landscape
Track record of ongoing formal and informal learning
Experience working directly with data teams responsible for sports projection models
Familiarity with data visualization tools and APIs
Ability to work with and define ambiguity
Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

Benefits

Comp & perks

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development