Top Tech Jobs & Startup Jobs

Lead a Rider vertical engineering team to deliver 0-to-1 and iterative consumer-facing products. Drive execution, define roadmaps, manage dependencies and risks, ensure observability and reliability, guide architecture and tech debt, maintain team health and career development, and collaborate cross-functionally with product, design, data, and operations.

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 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.

Lead programmatic and agency sales for LyftAds, owning revenue targets across agencies and demand partners. Develop GTM strategies, build C-level relationships, structure complex deals (PMPs, data partnerships, measurement), influence product roadmap, drive co-sells with Brand Sales, and maintain pipeline discipline including forecasting and CRM hygiene.

Develop and deploy optimization and ML models for pricing decisions. Collaborate with engineers, product, and business partners to frame problems, analyze data, run experiments, implement production algorithms, define metrics, and provide technical guidance to teammates.

Design, train, and deploy time-series forecasting and real-time ML models to generate marketplace supply and demand signals. Collaborate with engineers, PMs, and business partners to frame problems, perform exploratory data analysis, implement production model code, run backtests and live experiments, monitor model health, and scale tooling to improve marketplace efficiency.

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.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Define problems with stakeholders, build statistical pipelines and production models, design and analyze experiments, deploy solutions, and support automated campaigns via science on-call rotation to drive Growth outcomes.

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.