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Lyft

Runs a ride-hailing app and bike-share systems

Staff Product Manager - Customer Care Platform & Data

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • At least 8 years of product management experience, including ownership of the vision and strategy for a platform or complex cross-functional product area.
  • Direct experience with AI/ML-powered products, ideally copilots, agent-assist, or large language model-based tooling, and a practical understanding of their capabilities and limitations.
  • Strong data fluency, including experience owning or working closely with data pipelines, data quality, and reporting.
  • A track record of driving execution on ambiguous, high-complexity problems spanning multiple teams and systems.
  • Ability to operate autonomously and influence senior stakeholders without direct authority.
  • A degree in Computer Science, Engineering, or Mathematics, or equivalent technical experience, is strongly preferred.
  • Deeply understand customer and agent support problems and focus on the support experience.
  • Engage credibly with engineers and understand platform, AI/ML, and large language model capabilities, limitations, and developments.
  • Treat data as a product by ensuring it is accurate, well-defined, and trustworthy enough for external reporting.
  • Set strategic direction and align others around it.
  • Break down complex problems, develop solutions, and deploy them at scale.

Responsibilities

  • Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that powers customer care and safety reporting.
  • Define and drive how AI and copilot capabilities improve agent efficiency and the quality and consistency of their work.
  • Lead execution on complex, cross-cutting initiatives across the platform and its data.
  • Own the accuracy and integrity of customer care and safety data for internal decisions, company-wide use, and external reporting on issue types and trends.
  • Shape how the platform is architected, configured, and operated as agent workflows and AI capabilities evolve.
  • Partner with engineering, data science, machine learning, design, and support operations to turn strategy into shipped product.
  • Serve as the senior product voice on the agent platform and data, aligning stakeholders and executives around a clear direction.
  • Define meaningful metrics and use them to prioritize work and measure real-world impact.

About the Company

Lyft

Runs a ride-hailing app and bike-share systems

Lyft runs a ride-hailing app that connects riders with nearby drivers in the United States and Canada, and its Freenow app books taxis and other rides across Europe. In 2019, it became the first ride-hailing company to go public in the United States, weeks ahead of Uber. Riders see the price before they book and pay through the app, and Lyft keeps a share of each fare while independent drivers, who use their own or rented cars, earn the rest. Lyft also runs bike-share systems such as New York's Citi Bike, sells ads inside its app, and dispatches self-driving cars from partner companies in some cities. Lyft was founded in 2012 and is based in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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