채용
At Lyft, our purpose is to serve and connect. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.
The Mapping organization at Lyft has spent the last few years building up Lyft’s mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we’ve also built industry leading geospatial visualisation and debugging platform.
We are hiring an Engineering Manager to lead our Mapping XP Services team. This role will accelerate Mapping through an AI-powered transformation to drive the strategy and execution for building AI agents to extract valuable insights from the realtime data. Mapping AI agents and our agentic-first platform will be used to automate map improvements, debug complex in-ride issues, identify ride anomalies and potential root causes, interpret freeform feedback from drivers and riders, and eventually scale beyond Mapping to draw insights across Lyft teams.
In this role, you'll collaborate with engineering, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.
Responsibilities
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Set the technical vision and strategy for a rapidly evolving product area
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Co-own the product strategy with the product partner and ensure a timely high quality delivery of the engineering solutions
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Lead a team of talented engineers who like to ship code and tackle hard engineering problems
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Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals
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Build teams that are collaborative, inclusive, and respectful of each other
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Provide continuous feedback, address performance, and recognize the individual strengths and contributions of your team members
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Create plans for prioritizing technical and resourcing challenges in your organization
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Maintain a balance between building sustainable, high-impact projects and shipping things quickly
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Instill a spirit of continuous improvement in the team’s code, architecture, and processes
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Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds
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Work with your engineers and/or product managers to create roadmap, short term and long-term goals
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Own your team’s deliverables and ensure we continue to ship scalable, highly-available products that delight our passengers and drivers
Experience
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Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
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4+ years of experience managing engineering teams
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Strong proficiency in both backend (Python, Go, Java, or C++) and frontend (JavaScript, React.js) technologies, and familiarity with cloud platforms (AWS, GCP, Azure, etc.).
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Experience architecting, building, and scaling distributed systems
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Experience launching consumer facing products and iterating through data-driven experimentation
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You have experience leading a team of engineers and guiding them through their career development
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You enjoy working in a collaborative environment, and you’re committed to driving projects to completion creatively
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You can motivate and instill a strong sense of ownership in your team
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You have experience guiding teams through planning, prioritization, and execution of work
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You are able to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure
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You work well with product and science partners and help set the product vision for an ambiguous project
Benefits:
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Extended health and dental coverage options, along with life insurance and disability benefits
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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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Access to a Lyft funded Health Care Savings Account
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RRSP plan to help save for your future
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In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
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Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
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Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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 at least 3 days per week, including 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 Toronto area is CAD $172,000 - CAD $215,000, 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.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
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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
2.7
10 reviews
Work Life Balance
3.8
Compensation
2.1
Culture
2.3
Career
2.0
Management
1.8
25%
Recommend to a Friend
Pros
Flexible scheduling and work-from-home options
Easy money and side hustle opportunities
Meet new people with good conversations
Cons
Unfair pay structure and low compensation
Easy deactivation based on rider complaints
Poor customer support for drivers
Salary Ranges
29 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1 reports
$146,004
total / year
Base
$126,960
Stock
-
Bonus
-
$146,004
$146,004
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Offer Rate
100%
Experience
Positive 60%
Neutral 40%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Take-home Challenge
5
System Design Interview
6
Onsite/Virtual Interviews
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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