At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You’ll collaborate with highly cross-functional teams such as product, data science, analytics, and design, as well as other organizations like Driver and Infrastructure, to deliver on that promise. As the SDET Manager for Rider Quality, you will help Lyft re-imagine what quality means in the age of AI. You will be responsible for building and leading a new team of talented engineers specialized in Test Automation and Machine Learning, alongside Quality Assurance engineers, to create robust tooling and tests to ensure a high-quality Lyft app.

Responsibilities:

• Set the technical vision and strategy for Rider Quality.
• Build and lead a new team of Test Automation and Machine Learning engineers, as well as QA engineers, that are collaborative, inclusive, and respectful.
• Collaborate with engineering leadership and cross-functional partners to understand needs and requirements.
• Coach and guide the professional and technical development of your team members.
• Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds.

Experience:

• B.S., M.S., or Ph.D. in Computer Science, a related technical field, or relevant work experience.
• 3+ years of experience managing engineering teams, ideally with experience in Test Automation or Machine Learning.
• Passion for building scalable and extensible solutions that enable others and ensure a high-quality product.
• Experience launching and supporting consumer-facing products.
• Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure.

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 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

Lyft proudly pursues and hires a diverse workforce. 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 now if you wish to make such a request.

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. 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 $172,000 - $215,000 CAD. 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.