Top Tech Jobs & Startup Jobs

Lead design, ownership, and scaling of Lyft's Global Support Platform. Set technical vision, drive AI/ML adoption, architect distributed systems, manage roadmaps, ensure reliability and observability, mentor engineers, and coordinate cross-functional alignment.

Lead Lyft's People M&A function: own People due diligence, advise Integration Management Office, design and execute workforce integrations, assess talent and risks, partner with Legal/Finance/Corporate Development, and drive change management to retain talent and align acquired teams with Lyft culture.

Owner of pricing, yield, and sales compensation for Lyft Ads and Lyft Business. Set CPM floors, rate cards, and margin targets; oversee Audience Extension vendor performance; design and administer commission plans; build commission modeling infrastructure; coordinate adtech systems across Finance, Analytics, Sales, and Accounting.

The Global Equity Program Manager supports Lyft's global equity programs, focusing on administration, compliance, automation, and employee education while collaborating cross-functionally with senior leadership.

The Global Equity Program Manager will manage Lyft's equity programs, ensuring compliance, improving systems, and enhancing employee education while collaborating with cross-functional teams.

Lead and grow an engineering team supporting growth products: remove blockers, ensure reliability and observability, drive architecture and technical excellence, partner cross-functionally on roadmap, manage team health and career development, and scale systems for international expansion.

Own pricing, yield, and sales compensation for Lyft Ads and Lyft Business. Set CPM floors, rate cards, and margin targets; monitor sell-through and vendor-managed Audience Extension performance; design and administer commission plans; run compensation calculations, reconcile with Accounting, and coordinate adtech/OMS systems across Analytics, Sales, and Finance.

Build and maintain Lyft's ETA prediction system: analyze data, prototype ML and non-ML solutions, develop statistical/ML/optimization models, trade off accuracy versus production/runtime, write scalable production-quality code, participate in design/code reviews, on-call support, and incident triage.

Build and maintain scalable pricing data pipelines and schemas, implement data quality systems, develop ETL/self-service tools, tune SQL/MapReduce jobs, write tested maintainable code, perform code reviews, and collaborate with engineering, data science, and business partners.

Lead end-to-end infrastructure and data platform programs, own roadmap and priorities, drive migrations and modernization, gather customer requirements, define success metrics, manage stakeholders and risks, and participate in release on-call rotation.