Top Tech Jobs & Startup Jobs

As a Senior Associate Delivery Manager, you'll manage low to medium complex projects, ensuring they meet quality, schedule, scope, and budget requirements. This role involves overseeing project aspects like timelines, communication, and risk management, while contributing to project success metrics and supporting team growth.

As a Manager of Delivery Management, you will lead the development of features that enhance product offerings by overseeing technical and organizational problem-solving, coordinating initiatives, and managing project outcomes. You'll focus on delivering high-quality features on time while driving strategic alignment and supporting team productivity.

The Program Manager in Talent Development will drive talent strategy by designing and managing programs that support career growth, leadership development, and succession planning. Responsibilities include implementing talent development programs, managing resources, and using AI and data analytics to improve learning initiatives.

As a Senior Android Engineer for the Sportsbook application, you'll develop systems and APIs, create new features, and ensure code quality. You'll work closely with product teams to define technical requirements and mentor junior team members while focusing on agility and scalability.

As a VIP New Business Executive, you will prospect and develop high-value player relationships, execute player acquisition events, and enhance the VIP engagement strategy. Your focus will be on managing a business plan to drive revenue while ensuring compliance with gaming policies.

As a People Program Manager on the M&A team, you will manage employee transitions and integration processes during mergers and acquisitions, provide strategic advice, assess workforce risks, and foster employee engagement through various initiatives. You will also align people strategies with organizational goals to ensure a seamless transition for employees and systems.

The Data Science Engineer at DraftKings will develop and deploy statistical models and machine learning algorithms to resolve complex business issues, manage data science projects, ensure timely delivery, and work with teams to integrate solutions. Responsibilities include communicating insights to stakeholders and supporting automation strategies.