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Lyft

Senior Product Manager, Customer Care AI

Hybrid · New York City, NY

This role is hybrid in New York City, NY. Remote eligibility is not stated by the employer.

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 4 hours ago.

PayNot listed
Work arrangementHybrid
Who can applyPeople who can work in New York City, NY
LevelManager
TypeNot stated
Occupationproduct manager
Languageen
Posted18 September 2026
Last verified4 hours ago
StatusActive

About the role

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

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 to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices.

The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most.

Responsibilities:

  • Build and optimize AI agents that handle customer support interactions across chat and voice channels
  • Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors
  • Write, test, and refine prompt logic and conversation flows for specific customer use cases
  • Partner with support operations teams to understand workflows, pain points, and opportunities
  • Run rapid feedback loops between customer interactions and product development to continuously improve agent performance
  • Serve as the in-house expert on AI agent development, translating technical capabilities into business impact
  • Define success metrics and drive data-informed decisions to ensure optimal prioritization
  • Create an AI strategy that scales as Lyft grows

Experience:

  • 5+ years of experience in product management, with experience or familiarity with AI, ML, or conversational interfaces
  • Deep technical acumen—ability to understand and shape AI system designs, including prompt engineering and agent architectures
  • Experience leading a team of engineers and setting clear goals, strategies, and multi-quarter roadmaps
  • Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them
  • Strengths:
    • Customer obsession: You care deeply about delivering excellent support experiences and dive deep into the details of customer problems
    • Technical depth: You can engage credibly with engineers and understand AI/ML/LLM capabilities, limitations, and emerging developments
    • Collaboration: You excel at working across functions—engineering, design, operations, and executive teams—to drive aligned outcomes
    • Bias to action: You dive deep into complex problems, build elegant solutions, and move quickly to deploy them at scale
    • Analytics: You rely on experimentation and data to make decisions and measure real-world impact
  • Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly preferred

Benefits:

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $148,000-185,000/year. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Listed via Lyft · first seen 22 October 2026 · last verified 28 October 2026

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