Jobs
Benefits and perks
•Healthcare
•Mental Health
•401(k)
•Parental Leave
•Pet Insurance
•Commuter
•Unlimited Pto
Required skills
Digital transformation
AI strategy
Product Management
Design thinking
Cross-functional leadership
Change Management
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.
Having been born in the cloud, we are now accelerating our journey to transform into an AI-native company. Reporting directly to our AI Transformation executive, this role will be responsible for defining and executing our most impactful transformation initiatives.
You are not just a theorist; you are a connector and evangelist who identifies high-impact AI opportunities, prototype solutions, and guide our global workforce toward responsible and inclusive AI adoption. This role will sit at the intersection of business strategy and technical execution. Working closely with our business and technical leaders of People, Finance, and Legal technologies to redefine the team member experience.
Responsibilities:
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8+ years of experience in digital transformation, product strategy, or AI enablement (ideally in high-growth tech), with at least 5 years specifically focused on People, Finance, or Legal technologies.
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Deep understanding of core People/Finance systems (Workday, Greenhouse, Oracle FInancials) and how People/Finance processes work end-to-end.
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Proven success leading AI implementations or workflow automation, with a deep understanding of LLM capabilities (e.g., Gemini, Claude, GPT, Copilot).
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Comfort working with technical and non-technical stakeholders alike. You can speak engineering and business in the same conversation.
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Strong communication chops—you’re a natural translator, facilitator, and storyteller.
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Curiosity and a thoughtful point of view about where AI is heading, and how we can harness it in responsible and inclusive ways.
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Demonstrated ability to partner cross-functionally
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Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to People or Finance initiatives
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Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype experience solutions, and implement data-driven iteration cycles that measurably enhance engagement and retention
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Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level and familiarity using AI to enhance productivity are strongly preferred.
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Familiarity with AI ethics frameworks or responsible AI principles in practice.
Experience:
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Previous experience leading AI and complex technology transformations
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Exposure to or experience with low-code/no-code platforms, process automation tools (e.g., Workato, Ui Path), or GPT-based applications
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Experience with programing languages
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Experience working in a product, design thinking, or change management capacity
Benefits:
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Great medical, dental, and vision insurance options with additional programs available when enrolled
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Mental health benefits
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Family building benefits
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Child care and pet benefits
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401(k) plan with company match to help save for your future
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In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
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18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
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Subsidized commuter benefits
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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 San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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About Lyft

Lyft
PublicLyft, Inc. is an American company offering ride-hailing services, motorized scooters, and bicycle-sharing systems in the United States and Canada, and, via its Free Now mobile app, Europe. Lyft is the second-largest ridesharing company in the United States after Uber.
1,001-5,000
Employees
San Francisco
Headquarters
$3.2B
Valuation
Reviews
3.9
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
4.2
Career
3.5
Management
3.7
72%
Recommend to a friend
Pros
Flexible hours/schedule
Great team culture
Good work-life balance
Cons
Long hours
Fast-paced work environment
Pay could be better
Salary Ranges
41 data points
Mid/L4
Senior/L5
Mid/L4 · DATA SCIENTIST
10 reports
$166,400
total per year
Base
$128,000
Stock
-
Bonus
-
$166,400
$229,600
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Assessment
4
Technical Interview
5
Onsite/Virtual Interviews
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
News & Buzz
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