Top Tech Jobs & Startup Jobs

Lead lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design, prioritize, and analyze experiments, partner with Product/Engineering/Data teams, drive creative and incentive strategy, and own performance reporting to optimize engagement and retention.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.

Lead measurement and optimization of marketing investments using causal inference and MMM. Deliver end-to-end data science solutions for Growth: define problems, build statistical pipelines, productionize models, design and analyze experiments, own roadmaps, and support automated campaigns via on-call rotation.

As Group Product Manager for Verticals at Lyft, you will lead product management across critical transportation areas, managing a team, setting strategic goals, and collaborating with cross-functional partners to enhance user experiences in high-value markets.

Lead end-to-end development, launch, and sustainment of station hardware products and a global fleet of charging/non-charging stations. Drive cross-functional alignment, set roadmaps and success metrics, resolve systemic product issues, and represent Lyft externally. Collaborate with engineering, design, data science, operations, and software PMs to deliver cohesive rider, operator, and city experiences.

Lead lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design tests, prioritize roadmap, partner with Product/Engineering/Data teams, own reporting, and drive creative and incentive strategies to increase rider and driver engagement and retention.

Lead forecasting and variance analysis for salary and equity/SBC, support monthly close and headcount forecasting, maintain Anaplan modules, partner with Total Rewards, Payroll Accounting, and People on data integrity, and produce reporting and ad hoc analysis for leadership and earnings while driving process automation improvements.

Design, train, and deploy time-series forecasting and real-time machine learning models to improve marketplace efficiency. Partner with engineers, product, and business teams to frame problems, run exploratory analysis, implement production model code, build backtesting and live experiments, and define monitoring and tooling for model health and operational efficiency.

Own visual asset creation and accuracy for Lyft's Learning Center by editing and animating video, motion graphics, and images; maintain asset libraries and versioning in CMS/DAM; run audits and brand-refresh updates; manage vendors and occasional small live-action shoots; partner cross-functionally to build efficient production systems and tooling.