The Senior Machine Learning Engineer will develop machine learning solutions for online gaming platforms, improving security and user experience through data-driven decisions, while collaborating cross-functionally.

As a Senior Sports Quantitative Analyst, you will develop models for sports betting markets, analyze data, optimize performance, and collaborate with teams to enhance product offerings.

The Senior Data Product Manager focuses on defining the product strategy for an internal experimentation platform, overseeing its development, and collaborating with various teams to drive data-driven decision-making and promote a hypothesis-driven culture.

The Staff Product Data Scientist will influence product and strategy by conducting deep analyses, framing problems, and producing decision memos. Responsibilities include shaping strategy with data insights, defining metrics, and collaborating across the business to tackle ambiguous challenges and drive measurable change.

The HR Director will lead people strategy, workforce planning, and talent management, partnering with senior leaders to drive organizational growth and transformation in a regulatory environment.

Lead design, development, and deployment of scalable ML models and pipelines (including LLMs) across the platform. Own full ML lifecycle, influence technical direction, communicate results to stakeholders, and mentor junior engineers.

Lead global brand marketing campaigns, manage agency partnerships, evaluate sponsorship strategies, and ensure alignment with brand goals while guiding junior team members.

The Brand Development Lead will define and evolve the global brand strategy, oversee brand initiatives, manage the sponsorship function, and connect brand strategies with business goals.

The Senior UX Research Manager will lead and scale the research function, manage a team of UX researchers, drive strategic decisions with user insights, implement AI-driven operations, and shape product strategies aligned with business goals.