Lead resource planning and end-to-end trading processes, maintain accurate player projections, and manage risk using modeling and quantitative analysis. Coordinate Game Operations staffing, training, coaching, reporting, and escalated issue resolution while improving processes based on data and member play patterns.
Manage a team of data engineers to design, develop, and operate scalable data pipelines and analytical products. Partner with cross-functional stakeholders to ensure data reliability, quality, and accessibility for business decision-making.
The manager will lead a team of analysts to provide data-driven insights and performance measurement for lifecycle, CRM, and promotional programs. They will serve as a strategic partner to leadership to optimize customer investment, experimentation, and cross-product adoption.
Own and evolve the MVP strategy, player experience, and operating plan, including segmentation, engagement, rewards, service standards, and performance measurement. Lead and develop the MVP team while coordinating with product, marketing, analytics, customer support, compliance, and legal to improve loyalty, retention, and responsible gaming outcomes.
The Product Manager will strategize and execute the product vision for MarTech, new member offers, and referral programs to drive user acquisition. They will collaborate with engineering, design, and marketing teams to define technical requirements and optimize the end-to-end product lifecycle.
You will own the database infrastructure, data lifecycle strategy, and operational readiness for high-traffic live events. Additionally, you will lead and mentor a team of database reliability engineers while managing vendor relationships and cloud costs.
The Manager, CRM Marketing will oversee a team to develop and implement complex CRM campaigns that drive customer engagement, retention, and loyalty. They will also manage the CRM calendar, optimize customer journeys, and partner with analytics to identify opportunities for audience strategy improvement.
The BI Analyst will distill complex datasets into actionable recommendations and clear visualizations to support game operations. They will also build and maintain insightful dashboards while partnering with product teams to address performance and process gaps.
Design, build, and own scalable Rails backend services for customer rewards, incentives, and loyalty, leading complex features from product requirements through deployment and monitoring. Improve system reliability and engineering practices, guide architectural decisions, mentor engineers, collaborate across teams, and participate in on-call incident response.
You will design and build backend services across a Rails monolith and Go microservices to support internal operational platforms. Additionally, you will lead technical delivery, mentor engineers, and drive the migration toward a microservices architecture.
You will design and build end-to-end machine learning infrastructure to transition experimental models into high-availability production services. Additionally, you will lead the optimization of a centralized feature store and implement automated retraining pipelines to ensure system observability.
You will design and build a scalable data platform to support batch and streaming use cases while ensuring robust data security and observability. Additionally, you will deploy low-latency services to power real-time decision-making across the company's sports betting and daily fantasy ecosystems.
You will define and execute the technical roadmap for Cloud, Container, and Edge Protection programs while automating security guardrails within CI/CD pipelines. Additionally, you will collaborate with engineering teams to perform infrastructure reviews, manage threat modeling, and ensure resilient security across all cloud environments.
You will architect and build a scalable, modern data platform to support batch and streaming use cases while ensuring high availability and performance. You will also collaborate with cross-functional teams to operationalize data engineering and machine learning capabilities for real-time decision-making.
You will own feature development for Rails-based backend services, including customer rewards and loyalty programs, while guiding junior engineers. You will also contribute to architectural decisions and participate in on-call rotations to ensure system reliability.
Own the line setting strategy and projection accuracy for fantasy markets while leading a team of data scientists and analysts. Partner cross-functionally with Product, Engineering, and Pricing teams to launch new markets and expand coverage across sports and esports.
You will lead the 3D discipline by designing characters, environments, and objects for brand campaigns and product moments while integrating AI workflows. You are responsible for maintaining the render quality bar and managing the 3D pipeline from briefing to final delivery.
The Trading Analyst will maintain and monitor accurate pre-game and in-game player projections across various sports markets. They will also manage risk using quantitative analysis and collaborate with sport owners to implement effective trading strategies.
You will build and operationalize an agent platform and internal tools to integrate AI into the software development lifecycle. Additionally, you will partner with cross-functional teams to design, ship, and iterate on AI-powered product features while establishing engineering standards.
Lead the technical direction and architecture of the React Native mobile application, focusing on scalability and performance. Mentor engineers and optimize developer tooling and CI/CD pipelines to improve team efficiency.
You will lead the technical architecture and productionization of scalable machine learning systems to support real-time inference and platform integrity. This role involves partnering with data science teams to build robust data pipelines, feature stores, and automated MLOps workflows.
