Top Tech Jobs & Startup Jobs

The Senior Machine Learning Engineer at DraftKings will design scalable ML pipelines, optimize models, implement monitoring systems, and lead technical initiatives in AI development.

As Corporate Counsel for Gaming Regulations, you will provide legal guidance related to compliance and regulatory issues for gaming products, collaborating across teams and managing legal risk.

The Senior Director of Brand & Social Strategy will lead brand strategy, oversee social media, guide cultural relevance, and mentor a high-performing team at DraftKings.

As a Data Engineer, you'll build and maintain reports and dashboards, automate workflows, and ensure data quality for decision-making at DraftKings.

As a VIP Acquisition Manager, you'll design strategies to onboard and activate high-value players, lead acquisition events, and ensure compliance while enhancing customer experiences.

Build scalable, production-ready Python services and internal tools that surface engineering metrics and AI impact. Own end-to-end features, partner with leadership and data teams, define measurements, and drive cross-team technical direction and observability.

Build scalable, data-driven internal tools and services in Python; lead technical strategy to measure AI impact across tooling, data pipelines, and dashboards; own end-to-end features from requirements to observability; partner with engineering, data, and delivery teams; set squad technical direction and mentor junior engineers.

Drive App Store Optimization for DraftKings mobile apps: execute metadata and creative updates, perform keyword research and competitive analysis, run and analyze A/B tests, track installs and conversion metrics, and collaborate with Creative, Marketing, Analytics, and Engineering to increase organic visibility and growth.

Support administration and execution of merit and promotion cycles by validating data, auditing recommendations, responding to stakeholder inquiries, preparing reports and dashboards, administering Workday compensation processes, coordinating communications, and identifying process improvements while ensuring data accuracy and confidentiality.

Build scalable, data-driven internal tools and services in Python to measure AI impact across engineering tooling. Own end-to-end features, partner with leaders and data teams, set squad technical direction, and deliver observable, tested data pipelines and dashboards.