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 connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product. Product managers at Lyft lead the integration of engineering, data science, and design to achieve the company's vision of reinventing transportation. We are looking for entrepreneurial and passionate product managers to innovate and execute across a rapidly growing, fast paced company and industry.



The Rider organization is responsible for the Lyft consumer app that you know and love (we hope!), and spans the entire consumer journey across requesting, purchase flow, pickup, in-trip experience, drop offs, and time between rides. Within this org, the Rider AI team is responsible for delivering machine learning features that customize the consumer app experience. Together with this team, this PM will own our Rider AI platform that strives to deliver an exceptional experience for every Lyft rider. This includes optimizing the content that riders see throughout the app, the Lyft modes they can select, and the notifications that drive ride intent. The right PM for this role will operate with enormous amounts of user empathy, be a product thought-partner to a customer-obsessed ML engineering team, and an effective collaborator across Lyft teams, to deliver experiences and products that delight our users and represent our brand values.

Responsibilities:

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Understand Lyft's strategic priorities and AI technology trends, in order to set an ambitious product vision that motivates and inspires your team, peers and leadership Deliver on this vision by setting your team's goals, success metrics and roadmap that prioritizes our most impactful ML investments, and lead a core team of engineers, designers, data scientists, and marketers in execution Balance near term impact with durable long term platform solutions, that maximize our products' future extensibility and agility Deeply understand the needs and motivations of your customers across different rider segments and use cases - leveraging data analysis, market research, and user research to inform your decisions Collaborate extremely effectively across the company, clearly communicating roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executives Drive industry-leading solutions and thought leadership around consumer ML systems at Lyft, building solutions that are scalable and efficient

Experience:

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5+ years of product management, engineering or equivalent experience with significant time spent leading a technical product or platform 2+ years building and shipping production ML systems (recommendation engines, ranking algorithms, personalization systems) with demonstrated impact on user metrics Ability to collaborate effectively across partner teams, capable of synthesizing input into cohesive, scalable platform solutions Natural leadership and ability to make things happen. You manage project ambiguity, complexity, and interdependencies in an organized and structured way, and you are able to define and analyze metrics that inform the success of your products Excellent judgment and thoughtfulness about the dynamics of the product ecosystem. Strong communication skills with various audiences and levels, including conveying complex and technical concepts in a compelling and easily understandable manner Detail-oriented with superior organizational skills - balancing multiple projects, deadlines, and requests should be second nature to you

Benefits:

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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 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 $136,000- $170,000 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.