Customer Success Jobs at Lyft with Visa Sponsorship
Lyft's Customer Success teams handle rider and driver experience, enterprise partnerships, and platform support across a fast-moving rideshare operation. Lyft has a consistent track record of sponsoring international talent across multiple visa categories for this function, making it a genuine option for work-authorized candidates.
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Get Access To All JobsINTRODUCTION
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. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.”
As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward.
Responsibilities
- Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals
- Develop frameworks and scalable processes to drive decision-making and prioritization
- Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
- Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
- Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
- Monitor and diagnose KPI performance and present findings to senior leadership
Experience
- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
- 2+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
- Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
- Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
- Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
- Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
- Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources
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 $118,000 - $147,500, 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.
INTRODUCTION
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. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.”
As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward.
Responsibilities
- Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals
- Develop frameworks and scalable processes to drive decision-making and prioritization
- Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
- Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
- Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
- Monitor and diagnose KPI performance and present findings to senior leadership
Experience
- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
- 2+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
- Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
- Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
- Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
- Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
- Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources
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 $118,000 - $147,500, 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.
See all 6+ Customer Success at Lyft jobs
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Get Access To All JobsTips for Finding Customer Success Jobs at Lyft Jobs
Frame your support experience around metrics
Lyft's Customer Success hiring focuses on measurable outcomes: retention rates, CSAT scores, and resolution times. Quantify your impact in past roles before applying so your resume speaks the language their hiring team looks for.
Clarify your OPT or CPT authorization early
If you're on F-1 status, confirm your OPT start date before submitting applications. Lyft has hired candidates on F-1 work authorization, but misaligned timelines between your authorization window and their onboarding schedule can derail an otherwise strong offer.
Target roles with enterprise or partner scope
Lyft's larger Customer Success openings tied to enterprise accounts or driver partnerships tend to map more cleanly to H-1B specialty occupation criteria. Roles with defined account management responsibilities are stronger sponsorship candidates than general support positions.
Use Migrate Mate to filter open roles by visa type
Lyft posts Customer Success roles across seniority levels, but not all are sponsorship-eligible. Use Migrate Mate to filter current openings at Lyft by the visa categories that apply to your situation so you apply only to roles where sponsorship is on the table.
Get your H-1B petition timing right
H-1B cap-subject petitions can only be filed once per federal fiscal year, with registration opening in March and employment starting no earlier than October 1. If Lyft extends an offer late in the cycle, work with their immigration counsel to clarify whether you'd wait until the next cap season.
Confirm the LCA wage level matches your offer
Before signing an offer, verify that your compensation meets the prevailing wage for your job level in the work location. DOL Labor Condition Application requirements tie Lyft's sponsorship filing to a wage certification, so a mismatch can delay or block the petition.
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Find Customer Success at Lyft JobsFrequently Asked Questions
Does Lyft sponsor H-1B visas for Customer Success?
Yes, Lyft sponsors H-1B visas for Customer Success roles, particularly for positions with defined account management or enterprise partnership responsibilities that satisfy USCIS specialty occupation criteria. Not every Customer Success opening qualifies, so confirming the job description maps to a specific degree requirement is important before assuming sponsorship applies to a given role.
Which visa types are commonly used for Customer Success roles at Lyft?
Lyft supports a range of visa categories for Customer Success hires, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for current students, and Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, degree, and career stage, so clarifying your situation before applying helps you target the right roles.
What qualifications and experience does Lyft expect for Customer Success roles?
Lyft typically looks for candidates with a bachelor's degree in a related field and demonstrated experience in customer-facing roles, preferably in a technology or platform company. Enterprise account management exposure, strong data literacy, and familiarity with CRM tools are recurring expectations. For visa sponsorship purposes, the degree field should align directly with the responsibilities of the specific Customer Success position.
How do I apply for Customer Success jobs at Lyft?
You can browse and apply for Customer Success openings at Lyft through Migrate Mate, which filters current job listings by visa sponsorship eligibility so you can identify roles where your work authorization is supported. Once you identify a match, apply directly through Lyft's careers portal and be prepared to confirm your visa status early in the recruiter screening stage to avoid late-stage complications.
How do I plan my timeline around Lyft's sponsorship process?
Timeline depends heavily on your visa category. F-1 OPT authorization can begin within 90 days of your program end date, while H-1B cap-subject petitions have an October 1 employment start date with registration in March. TN and E-3 processing is faster, often completing within a few weeks. Aligning your job search with these windows, rather than starting after receiving an offer, significantly reduces delays.
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