Lyft Logo

Lyft

Engineering Manager, Rider Quality

Posted 2 Days Ago
Be an Early Applicant
Toronto, ON
Mid level
Toronto, ON
Mid level
The Engineering Manager for Rider Quality at Lyft will build and lead a new team of Test Automation and Machine Learning engineers, driving quality standards for the Lyft app. Responsibilities include setting technical vision, coaching team members, and collaborating with cross-functional partners to ensure project completion.
The summary above was generated by AI

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.

Top Skills

Machine Learning
Test Automation

Similar Jobs

Be an Early Applicant
4 Hours Ago
Toronto, ON, CAN
20,000 Employees
Senior level
20,000 Employees
Senior level
Food • Retail • Agriculture • Manufacturing
The OT Solution Architect will design and implement architectural solutions for OT systems, integrating them with cloud platforms while ensuring performance, security, and compliance. Responsibilities include optimizing system performance, collaborating with cross-functional teams, managing vendor relationships, and providing troubleshooting expertise.
Be an Early Applicant
4 Hours Ago
Toronto, ON, CAN
20,000 Employees
Expert/Leader
20,000 Employees
Expert/Leader
Food • Retail • Agriculture • Manufacturing
The Director of Data Platform Governance will lead the development and implementation of a governance strategy for Enterprise data assets, ensuring data quality, privacy, and security. The role involves collaborating with cross-functional teams to drive data governance solutions across McCain's business units and establish metrics for data quality. Additionally, the Director will oversee compliance with relevant regulations and establish frameworks for AI governance.
Be an Early Applicant
4 Hours Ago
Toronto, ON, CAN
20,000 Employees
Senior level
20,000 Employees
Senior level
Food • Retail • Agriculture • Manufacturing
The Sr Engineering Manager, SRE & Observability will lead the design, implementation, and monitoring of secure, fault-tolerant SRE and Observability infrastructure. Responsibilities include developing strategies, collaborating with teams, mentoring engineers, and driving operational excellence through advanced monitoring and automation techniques.

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account