Product Manager II - Trading, Data & Pricing
Own the vision and lifecycle of trading and data products, partnering with engineering, data science, and game operations to improve pricing, optimize trading processes, and grow user engagement.
Own the vision and lifecycle of trading and data products, partnering with engineering, data science, and game operations to improve pricing, optimize trading processes, and grow user engagement.
Own strategy and execution for a core product pod spanning accounts, payments, fraud, or compliance, building scalable systems that strengthen player trust, business outcomes, and operational efficiency.
Source and purchase trading cards, build relationships with collectors and dealers, and manage each deal through payment, inventory intake, accurate recordkeeping, and reconciliation.
The Game Operations - Trading Manager coordinates trading resources, develops projection workflows, monitors market risk and player projections, and coaches the Game Operations team to improve accuracy and execution.
Lead and develop a data engineering team while setting technical direction for reliable, scalable pipelines and analytical data products that support analytics, AI, and business decision-making.
Leads lifecycle marketing analytics and a team of analysts, shaping measurement, experimentation, and investment decisions across CRM, promotions, customer conversion, retention, and cross-product adoption.
The Director, VIP Experience & Loyalty leads the MVP strategy and team, shaping high-touch player engagement, retention, and service while coordinating cross-functional work and measuring program performance.
Lead the Database Reliability Engineering function, owning cloud database infrastructure, data lifecycle, security, and live-event readiness while developing technical leaders and setting the teamβs multi-quarter roadmap.
The Manager, CRM Marketing leads a two-person team to plan and optimize lifecycle campaigns, customer journeys, segmentation, and cross-channel messaging that improve engagement, retention, and loyalty.
Own lifecycle strategy for a new product line, building customer journeys and campaigns that drive retention and repurchase while partnering across product, analytics, and lifecycle teams.
Own market and consumer research that combines operational data, external intelligence, and primary studies to explain emerging trends and deliver clear recommendations that guide business decisions.
Leads government affairs across Northeast jurisdictions, building relationships with policymakers and industry stakeholders while shaping legislative and regulatory strategy for daily fantasy sports, gaming, and consumer choice.
The Senior Security Engineer will mature cloud, container, and edge security by building automated guardrails and threat detection, embedding enforcement in CI/CD, and guiding secure infrastructure design.
Architect and build a scalable data platform for batch, streaming, analytics, and machine learning, enabling low-latency decisions while improving platform reliability, observability, security, and self-service.
Own end-to-end development of Ruby on Rails features for rewards, incentives, and loyalty services, while shaping architecture, improving reliability, and guiding junior engineers.
Design and own scalable Ruby on Rails backend services for customer rewards, incentives, and loyalty, leading complex features from product planning through production while improving reliability and mentoring engineers.
Own the MarTech product strategy and lifecycle, improving marketing tools, acquisition efficiency, new-member offers, and referrals through data-driven decisions and cross-functional collaboration.
Lead the 3D discipline by creating distinctive characters, environments, and objects for brand campaigns and product experiences, while shaping the teamβs workflows and integrating AI tools to deliver high-quality work faster.
Monitor and trade sports projections across pre-game and live markets, using quantitative analysis to manage risk, track relevant information, and refine game operations processes.
Build and scale agent platforms and AI-powered engineering workflows, shipping reliable LLM and ML capabilities while setting standards for evaluation, observability, safety, and responsible AI adoption.
The Business Intelligence Analyst turns game, product, and user data into recommendations, dashboards, and reusable analyses, partnering with Game Operations and Product to improve performance and processes.
Build and operate the machine learning platform that moves models into production, powers low-latency real-time inference, and enables reliable training, deployment, monitoring, and feature management.
Build and operate scalable batch and streaming data platforms, enabling low-latency services, production ML, and reliable data pipelines through strong deployment, monitoring, security, and observability practices.
Design and own backend services across a Ruby on Rails monolith and Go microservices, helping migrate to distributed architecture while powering internal operations and improving reliability.
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