About the Job
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design...
Every great support experience depends on the person behind it having the right tools, context, and intelligence to solve the problem in front of them. The Platform & Data teams build the tools our human support agents work in every day—and own the data that tells Lyft, and the world, what our customers are actually...
Key Responsibilities
Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that powers customer care & safety reporting
Define and drive how AI and copilot capabilities make agents more efficient and raise the quality and consistency of their work
Lead execution on the most complex, cross-cutting initiatives across the platform and its data
Own the accuracy and integrity of customer care & safety data so it can be trusted 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 deeply with engineering, data science, ML, design, and support operations to turn strategy into shipped product
Serve as the senior product voice on agent platform and data, aligning stakeholders and executives around a clear direction
Define the metrics that matter and use them to prioritize and measure real-world impact
8+ years of product management experience, including owning the vision and strategy for a platform or a complex, cross-functional product area
Direct experience with AI/ML-powered products—ideally copilots, agent-assist, or LLM-based tooling—with a real understanding of their capabilities and limits
Strong data fluency: you've owned or worked closely with data pipelines, data quality, and reporting, and you care about getting the numbers right
A track record of driving execution on ambiguous, high-complexity problems that span multiple teams and systems
Comfortable operating with autonomy and influencing senior stakeholders without direct authority
Strengths:
Customer obsession: You care deeply about the support experience and dive into the details of customer and agent problems
Technical depth: You engage credibly with engineers and understand platform + AI/ML/LLM capabilities, limitations, and emerging developments
Data rigor: You treat data as a product—accurate, well-defined, and trustworthy enough to report externally
Strategic ownership: You set direction, not just execute against it, and bring others along
Bias to action: You break down complex problems, build elegant solutions, and move quickly to deploy them at scale
Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly preferred
