Software Engineer, Driver Earnings

Lyft; Toronto (OH); Hybrid; USD 62,000 - 77,000; Full time

Benefits offered by this job

Extended health & dental

Mental health benefits

Family building benefits

Child care benefits

Lyft Health Savings Account

RRSP matching

Paid time off

Parental leave

Commuter benefits

Ride credits

Job summary

Lyft is seeking experienced, product-focused software engineers for the Driver Earnings Team in Toronto. You will lead multiple work streams to improve drivers’ earnings experience, design pay-related features, and collaborate with product, data science, analytics, and operations to ship impactful solutions.

The role emphasizes collaboration across teams and a hybrid in-office schedule. The base pay range in the Toronto area is CAD 88,000–CAD 110,000, with equity/bonus and benefits varying by

Qualifications

• Degree in Computer Science or Computer Engineering (advanced degrees preferred) or relevant work experience.
• Proficiency in SQL – able to write structured and efficient queries on large data sets.
• Experience in programming, especially in Python and/or Golang.

Responsibilities

• Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products.
• Design and analyze experiments; communicate results and act on launch decisions.
• Work with cross-functional partners in Driver Experience and Marketplace so earnings data is available and usable by various systems.
• Work on tooling that makes it easier to modify driver earnings configurations.

Skills

SQL

Python

Golang

Cross-functional collaboration

Education

Degree in CS or CE

Job description

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 is looking for experienced, product-focused software engineers for our Driver Earnings Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers.

As a Software Engineer for Driver Earnings, you will lead multiple work streams that improve drivers' experience with rideshare. In addition, you will focus on incentivizing drivers to prefer Lyft, building differentiated pay products and features for the thing that drivers care the most about - their earnings. As an engineer on our team, you'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to increase the adoption & usage of Lyft.

Responsibilities:

• Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products.
• Design and analyze experiments; communicate results and act on launch decisions
• Work with cross-functional partners in the Driver Experience and Marketplace so earnings related data is available and usable by the various systems that need this data.
• Work on tooling that makes it easier to make changes to driver earnings related configurations.

Experience:

• Degree in Computer Science or Computer Engineering (advanced degrees preferred), or relevant work experience
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience in programming, especially in Python and/or Golang (preferred but not required)
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• 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
• 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.
• Subsidized commuter benefits and Lyft ride credits

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 $88,000 - CAD $110,000, 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.