"design" Jobs
129 open tech roles matching “design”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 129 results
Join Lyft Urban Solutions as an Android Software Engineer to enhance the rider experience for bike and scooter-sharing platforms.
Own and execute technical learning programs for Lyft's engineering and tech teams, enhancing skills and fostering development.
Join Lyft as a Staff Software Engineer to lead complex systems and drive engineering excellence in a collaborative environment.
Join Lyft as a Senior Product Manager to lead the development of innovative bike-sharing stations in a fast-paced micromobility environment.
Join Lyft as a Business Systems Engineer to enhance financial planning and analysis through data integration and reporting.
Join Lyft as a Staff Applied Scientist to develop ML and optimization models that enhance pricing and ETA decisions.
Lead business planning and central operations for Lyft's Customer Care, ensuring financial discipline and operational readiness.
Join Lyft as a Software Engineer to design and maintain scalable systems in a collaborative hybrid work environment.
Lead a team of engineers at Lyft to drive technical direction and product strategy in a collaborative environment focused on global growth.
Join Lyft as a Machine Learning Engineer to design and deploy cutting-edge ML systems in a collaborative hybrid environment.
Serve as a Senior Business Solutions Architect at Lyft, bridging the gap between People teams and engineering with an AI-first approach.
Join Lyft as a Machine Learning Engineer to design and deploy cutting-edge ML systems in a collaborative environment.
Join Lyft's Airports team as a Data Scientist to leverage data for enhancing rider and driver experiences in the airport marketplace.
Join Lyft as a UX Research Intern to conduct impactful research and enhance user experiences for drivers and riders.
Lead lifecycle marketing strategy at Lyft, driving engagement and retention through data-driven experimentation.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth through algorithm development.
Lead a team responsible for Lyft's foundational data layer, driving modernization and mentoring engineers in a hybrid work environment.
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