Top Tech Jobs & Startup Jobs in Austin, TX

The Senior Product Manager will define and execute the strategy for Athlete Identity and analytics, enhancing data integration and personalization across athlete interactions.

The Project Manager is responsible for overseeing all aspects of the new store opening process, ensuring timely and budget-compliant openings while maximizing productivity.

The Engineering Manager will lead the MarTech team's development of solutions for high-traffic products, manage resources, and boost engineering excellence through collaboration and innovation.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

As a Machine Learning Engineer II, you will design, build, and deploy machine learning systems, optimize existing models, and collaborate with data teams.

The Senior Program Manager will lead critical programs in the Enterprise Data and Intelligence Platforms team, focusing on AI-driven supply chain optimization, cross-functional collaboration, and delivering measurable business impacts.

The Director, Corporate Counsel will provide legal guidance on employment law across West Coast jurisdictions, managing litigation and ensuring compliance with various laws.

The Senior Software Engineer will develop and maintain mobile applications for DICK'S Sporting Goods and Golf Galaxy, collaborating with cross-functional teams and delivering high-quality code while mentoring junior developers.

The Regional Finance Manager will advise operational regions, provide financial analytics, support decision-making, and enhance financial acumen within the team.

The Senior Data Scientist will develop intelligent decisioning systems focused on optimizing fulfillment operations, using machine learning and operations research techniques. This role involves collaboration across teams and addressing complex logistical challenges through advanced modeling.