Currently tracking 17 active AI roles, up 103% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $128k–$222k (avg $171k).
| Title | Stage | AI score |
|---|---|---|
| Data Science Manager, Rider App Lyft is seeking a Data Science Manager to lead a team focused on improving the Rider App experience through algorithm development, machine learning, and experimentation. The role involves shaping vision, driving execution, and partnering with cross-functional teams to enhance rider relationships and expand to new segments. The ideal candidate will have expertise in advanced analytics, ML, causal inference, experimentation, and a proven track record of leading data science teams in fast-paced environments. | Ship | 7 |
| Workplace Operations Specialist This role is for a Workplace Operations Specialist at Lyft, responsible for providing operational and facilities support to ensure a productive and inclusive work environment. Responsibilities include managing vendor relationships, coordinating facility maintenance, managing inventory, handling Zendesk tickets, managing mail/shipments, assisting with onboarding/offboarding, supporting events, and other site-specific duties. The role requires strong customer service, organizational, and communication skills, with at least 3 years of customer service experience and 1 year of office experience. |
| — |
| 0 |
| Senior Analyst, Global Expansion Strategy Senior Analyst role focused on global expansion strategy for Lyft, involving market analysis, product development planning, and collaboration with cross-functional teams. The role requires strong analytical skills, business acumen, and strategic thinking to shape Lyft's international growth. | — | 0 |
| Product Manager, Driver Experience Product Manager for Lyft's Driver Experience team, focusing on identifying and solving driver pain points to improve service quality, streamline interactions, and create intuitive systems. This role involves setting product vision, defining success metrics, building roadmaps, and leading cross-functional teams (engineers, designers, data scientists, marketers) to execute product strategies for consumer-facing products. | — | 0 |
| Senior Director, Strategic Finance Senior Director, Strategic Finance role at Lyft, reporting to the Head of FP&A. This role will partner with business leaders in Ads, Lyft Business, and Marketing, driving strategic financial decision-making through advanced analytics, consumer tech expertise, and ROI frameworks. Responsibilities include financial planning, budgeting, forecasting, scenario analysis, and leading a high-performing Strategic Finance team. Requires 12+ years of FP&A or strategic finance experience, preferably in technology companies, with direct experience supporting advertising or media businesses and growth/performance marketing finance. | — | 0 |
| Financial Analyst Lyft is seeking a Financial Analyst to support their Rideshare business. The role involves partnering with business leaders to translate data into actionable insights, shape strategy, forecast performance, and guide critical decisions. Responsibilities include developing financial models, running scenario analyses, supporting strategic business plans, collaborating with cross-functional teams, enhancing forecasting accuracy, developing financial data management practices, delivering insights through presentations, ensuring accurate financial reporting, and supporting continuous improvement of FP&A systems and processes. Required experience includes a quantitative Bachelor's degree, 2-3 years of FP&A experience, strong financial modeling and forecasting skills, ability to translate complex data into insights, and comfort in a fast-paced environment. Preferred skills include G-Sheet, SQL, and ERP systems like Oracle Essbase or Anaplan. | — | 0 |
| Program Manager, Technology Ops This role is for a Program Manager, Technology Ops at Lyft, focused on driving high-impact initiatives across Corporate Engineering, IT, Privacy, and Security. The role involves end-to-end program delivery for various technology transformations, strategic planning, program governance, and vendor management. While the role supports AI and automation initiatives by identifying opportunities for process optimization, it does not involve direct AI/ML model development or deployment. | — | 0 |
| Analytics Lead, Events & Venues Lyft is seeking an Analytics Lead for the Events & Venues team in Toronto. This role will leverage data and analytical thinking to shape products and business decisions related to events. Responsibilities include performing deep dives on event performance, identifying growth opportunities, establishing key metrics, managing reporting, and collaborating with cross-functional teams. The ideal candidate will have strong business acumen, experience in strategic data science/analytics, proficiency in SQL, and excellent communication skills. | — | 0 |
| Data Analyst, Global Growth Strategy Data Analyst role focused on shaping product strategy and business decisions for Lyft's Global Growth team, which includes premium modes, international expansion, and Autonomous Vehicles. The role involves deep product analysis, identifying opportunities, measuring feature impact, and collaborating with cross-functional teams to drive market growth. | — | 0 |
| Manager, Strategic Finance Manager, Strategic Finance role at Lyft, focusing on financial analysis for strategic decision-making, long-range and annual planning, competitive intelligence, and ad-hoc analysis. Requires strong financial modeling and business acumen. | — | 0 |
| Demand Generation Manager, Lyft Business Demand Generation Manager for Lyft Business, focusing on scaling the self-serve business by developing and executing end-to-end demand generation strategies, managing paid media, and optimizing the customer journey to drive leads and bookings across various verticals. | — | 0 |
| Analytics Lead, LUS This role focuses on leveraging data and analytics to improve the performance of bikeshare and scooter markets, driving data-informed strategies and impacting decisions related to operations, pricing, and product features. The primary focus is on data analysis and business intelligence within the urban mobility domain. | — | 0 |