Top Tech Jobs & Startup Jobs

Lead go-to-market strategy for Lyft Ads measurement, data, and audience products. Translate ad tech signals into market-facing solutions, define pricing/packaging, drive attribution and reporting adoption, and build bespoke data partnerships. Collaborate cross-functionally with Product, Data Science, Engineering, Sales, Legal, and Finance to commercialize first-party mobility data and demonstrate ROI to brands and agencies.

Lead go-to-market strategy for Lyft Ads programmatic and Audience Extension products. Own packaging, pricing, partner management (DSPs/SSPs/clean rooms), and commercial negotiations. Collaborate with Product, Data Science, Sales, and Engineering to scale programmatic channels, build partner frameworks, drive revenue, and refine measurement and audience segmentation.

Lead a Core Rider engineering team to own foundational systems and rider functionality. Drive strategy, execution, architecture, reliability, observability, hiring, career development, and cross-functional collaboration to improve top-line metrics and rider experience.

Develop and deploy production-grade ML and optimization models for pricing and ETA decisions. Partner with cross-functional teams to frame problems, build proofs-of-concept, productionize scalable pipelines, evaluate model performance against business metrics, and monitor system health. Drive collaboration to ensure robust, impactful solutions.

Processes insurance claims, creates loss reports, responds to customer inquiries, gathers investigative materials, coordinates accident-related next steps, and collaborates with Risk, Safety, Legal, Finance, and other teams. The role supports claims processing, audits, data reconciliation, reporting, customer experience improvements, and cross-training while managing multiple priorities in a fast-paced remote environment.

Lead a cross-functional team to own the core rider journey (home, request, pickup, in-ride, payment) for Lyft's consumer mobile app. Set vision, goals, metrics; drive ideation through launch, experimentation, growth, and maintenance; coordinate engineers, designers, analysts, marketers, and operations; and deliver scalable experiences across locations and vehicle types.

Lead decision science initiatives to improve operational efficiency and financial outcomes. Build decision frameworks, attribution and forecasting models, deliver reproducible Python/SQL code, mentor data scientists, and partner cross-functionally to measure and scale impact.

Lead decision-science initiatives to improve operational efficiency and financial outcomes. Design decision frameworks, attribution and measurement strategies, forecasting and monitoring systems. Produce production-quality Python/SQL code, guide other data scientists, and translate analyses into actionable recommendations for cross-functional stakeholders.

Lead and grow a team building user-facing mapping experiences and scalable map services. Hire, mentor, prioritize work, balance long-term architecture with shipping speed, and collaborate with Product, Design, Research, and Science to deliver high-quality mobile products for millions of users.

Lead and grow a cross-platform engineering team (backend, frontend, iOS, Android) to define technical vision, deliver high-quality app experiences for luxury ride modes, mentor managers and engineers, prioritize technical investments versus product work, drive cross-functional alignment, hire diverse talent, and ensure scalable, highly available production systems.