Search the 21 jobs at Lyft

The Senior UX Researcher at Lyft will design and conduct user research studies, analyze and communicate insights to guide product development, collaborate with cross-functional teams, and maintain a research roadmap prioritized by user needs. This role emphasizes the integration of qualitative insights with quantitative data to enhance user experience and drive strategic recommendations across the organization.

The Senior User Experience Researcher at Lyft will conduct various studies to understand user behaviors and attitudes, analyze mixed-methods data for actionable insights, and collaborate with cross-functional teams to inform product direction. Responsibilities include designing studies, presenting research findings, and aligning with stakeholders to prioritize the research roadmap.

The Product Designer will contribute to Lyft's partnerships by creating user-centered solutions that integrate Lyft's services with other brands. Responsibilities include developing wireframes, prototypes, and collaborative design solutions with various teams, ensuring a seamless experience for riders across platforms.

As a Frontend Software Engineer at Lyft, you will work closely in an inclusive team where you will own features, communicate across functions, participate in code reviews, and write maintainable code. You will also ensure code quality and support feature development from spec to maintenance while enhancing workflow efficiency and data insight within the claims tech engineering team.

The Head of Mapping at Lyft will lead the Mapping team to innovate and redefine mapping products, ETA and routing technology. Responsibilities include setting product vision and strategy, managing a team of engineers and product managers, driving collaboration across functions, and influencing company-wide priorities. The role demands exceptional leadership and communication skills to foster team success and enhance customer experiences.

As a Data Analyst at Lyft, you will leverage analytics to analyze business problems, work on investment strategies, handle data reporting, and partner with various teams to improve models and processes. Your role will involve presenting insights and recommendations to senior leadership and ensuring effective analysis aligns with business objectives.

The Fullstack Engineer will build and own innovative web applications, focusing on design fidelity, usability, and performance. Responsibilities include managing multiple projects, collaborating with various teams, writing code, leading projects from concept to launch, and participating in code reviews.

As a Senior Software Engineer at Lyft, you will develop and enhance backend systems for driver dispatching, working on large-scale distributed systems and collaborating with cross-functional teams. Your role involves improving algorithms for better driver utilization and fulfillment costs, while utilizing cloud platforms and CI tools.

As a Software Engineer on the Matching team at Lyft, you will improve driver dispatch strategies, work on algorithmic back-end systems, and collaborate across teams to enhance rider fulfillment. You'll tackle technical challenges in distributed systems while employing object-oriented programming and cloud services.

The Data Scientist will collaborate with cross-functional teams to develop safety insights from telematics data, apply machine learning and statistical models, and conduct exploratory data analysis. This role also focuses on product adoption, monitoring data health, and communicating findings effectively.

As a Data Scientist in the Rider Pricing team at Lyft, you will analyze data to identify growth opportunities, develop metrics and dashboards, and design online experiments to enhance decision-making. You will collaborate with cross-functional teams, providing insights that influence pricing strategies and enhance rider and driver experiences.

The Fraud and Risk Analyst will analyze complex data sets to develop and implement strategies for fraud detection and prevention. This role involves identifying fraud patterns, collaborating with cross-functional teams, and communicating solutions to enhance user experience while minimizing fraud risks. The Analyst will report key metrics and status to senior management.

As a Senior Data Engineer on the Growth team at Lyft, you will manage data architecture and pipelines for growth campaigns, ensuring data quality, evolving data models, and collaborating with cross-functional teams to align on business goals.

As an iOS Engineer at Lyft, you will design and develop features for the Rider application, collaborating with product managers and designers. Responsibilities include writing maintainable code, participating in reviews, debugging applications, and promoting best practices. You will enhance rider experience by building large-scale iOS applications and working within a cross-functional team.

As an iOS Engineer at Lyft, you will develop and enhance mapping applications, collaborate with cross-functional teams, and ensure a high-quality user experience. Responsibilities include building new features, addressing real-time data challenges, and implementing best practices in code architecture.

The Data Engineer at Lyft will design and implement data pipelines for insurance operations, optimize performance using ETL and MapReduce, and ensure seamless execution by collaborating with internal teams and external partners. The role involves refining data models and enhancing core data pipelines to support data processing and analytics needs across the organization.

The Senior Manager, Brand Strategy at Lyft will lead efforts to build brand preference and execute integrated marketing campaigns. Responsibilities include monitoring brand equity, collaborating with various teams to enhance brand perception, and driving brand strategy through data-driven insights. The role requires fostering relationships across functions to ensure brand message consistency and executing marketing programs that deliver measurable impact.

As a Senior Data Scientist on Lyft’s Rider team, you will use data and analytics to inform business decisions, develop frameworks to analyze performance, design online experiments, and collaborate with cross-functional teams to enhance rider experience and operational efficiency.

As the SDET Manager for Rider Quality at Lyft, you will build and lead a talented team specializing in Test Automation and Machine Learning. You will set the technical vision, collaborate with cross-functional teams, and guide the professional development of your team while ensuring the delivery of high-quality products.

As a Data Scientist on the Airports team at Lyft, you will leverage data-driven insights to enhance products and make informed business decisions, focusing on improving rider and driver experiences at airports through analytical modeling and collaboration with cross-functional teams.