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Added 1 min ago
IR
Senior Manager, Consulting
Info-Tech Research Group
Canada
- Full-time
We are seeking an experienced and dynamic Consulting Senior Manager to lead strategic client engagements, drive executive-level relationships, and oversee the delivery of research-driven…
Added 1 min ago
SC
Financial Advisor/ Senior Financial Advisor - Oakridge Branch
Servus Credit Union
AB · Calgary, AB
- Full-time
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Added 1 min ago
HR
Registered Practical Nurse, Inpatient Surgery 10 East & West
Humber River Health
Toronto, ON · Greater Toronto, ON
- Other
…Health, Wilson SiteLabour Group: NOWUReporting Relationship: Manager, Surgical Inpatient 10 Unit East & WestHourly Rate: $38.893 -…
Added 1 min ago
HR
Registered Nurse, 10 East & West Inpatient Surgery
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Toronto, ON · Greater Toronto, ON
- Other
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Added 1 min ago
Senior Full Stack Developer - UGH - FT Support
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Toronto, ON
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NS
Psychiatrist, Community Mental Health and Addictions - Halifax
Nova Scotia Healthcare System
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- Contract
C/O Ms. Aleya MacNeil, Physician Resource Manager, via email: [email protected]
Added 1 min ago
FB
Assistant Produce Manager
Farm Boy Inc.
Aurora, ON
- From $21.5 CAD / hour
- Full-time
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Added 1 min ago
SS
Commandant·e de réponse aux incidents cyber / Cyber Incident Response Commander
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Montreal, QC
- Full-time
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Added 1 min ago
IB
Events Manager
Indigo Books & Music
Toronto, ON
- $85,000 to $95,000 CAD / year
- Full-time
The Manager, Events leads the day-to-day execution of Indigo’s events program, translating strategic vision into disciplined operational plans, overseeing events support staff, and…
Added 1 min ago
D
Mobile Infrastructure Technician
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- Full-time
Reporting to the Senior Manager, Infrastructure Services, the mobile technician role plays a vital part in keeping technology based infrastructure running and secure.
Added 1 min ago
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Finance Director
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- Full-time
Maintain a strong and result-driven relationship with Plant Manager.
Added 1 min ago
CI
Manager, RF Systems Engineering
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Saskatoon, SK
- Full-time
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Added 1 min ago
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Niagara Falls, ON
- $70,000 to $90,000 CAD / year
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Added 1 min ago
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Product Manager
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St. John's, NL
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Claims & Benefits Administrator
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IT Specialist - VMware
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RI
IT Specialist - VMware
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Sr. Customer Success Manager
Okta
Toronto, ON
- Full-time
The Sr. Customer Success Manager role will play a critical part in the exciting growth and retention trajectory of the Enterprise Sector at Okta. You will report to the Regional Manager,…
Added 1 min ago
O
Sr. Customer Success Manager
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Oakville, ON
- Full-time
The Sr. Customer Success Manager role will play a critical part in the exciting growth and retention trajectory of the Enterprise Sector at Okta. You will report to the Regional Manager,…
Added 1 min ago
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Sr. Customer Success Manager
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Added 1 min ago
DL
Apply Operations Assistant
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Added 1 min ago
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Project Manager/Leader - Senior
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Added 1 min ago
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Senior Data Warehouse Developer
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Added 1 min ago
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Manager, Customer Service & Order Management - Food Industry
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Toronto, ON · Etobicoke, ON
- $100,000 to $120,000 CAD / year
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Added 16 mins ago
Staff Technical Program Manager - AI/ML
PlayStation Global
Waterloo, ON
7+ years as a technical program manager, with at least 3 years specifically on AI/ML or applied data science delivery

Lyft

Staff Product Manager I, Base Pricing

Toronto, ON, Canada

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Job details

Experience: 5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products
Posting language: English
Posted: Nov 3, 2026

Original 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 management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry.

Pricing is the primary economic engine of Lyft's marketplace - a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft's sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization.

The Base Pricing Team owns the systems that set the base price of a Lyft ride for every ride type, region, and ride intent. Behind these base prices is a machine-learning and optimization stack that predicts how the Lyft marketplace responds to price, translates the cost of serving a ride into a price, and recommends price changes across hundreds of markets every week. Base prices are the foundation of every fare, and they set the reference point that dynamic pricing and rider discounts build on.

The team serves two sets of customers: riders, who should see prices that are fair, competitive, and matched to what they value; and the analysts and market managers who use our models and tools to set pricing strategy.

Responsibilities:

As the Staff Product Manager for Base Pricing, you will own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it. That includes:

Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)
Improving how our base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions
Re-evaluating how costs to fulfill a ride impact prices
Jointly optimizing prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio
Making our impact estimation models accurate and trusted by market management teams
Evolving base pricing to function in a hybrid network with autonomous vehicles
Work closely with cross-functional stakeholders (engineers, scientists, analysts), and partner teams (Driver Earnings, Verticals, Market Management) to align on a shared vision, define requirements, and prioritize inbound requests.
Communicate roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft's executive team.

Experience:

5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products
A deep technical understanding of microeconomics, and ideally a background in Operations Research, Econometrics, Machine Learning, or algorithmic systems
Experience owning pricing, revenue management, or other economic levers with direct P&L impact; experience with price optimization, elasticity modeling, or cost modeling is a strong plus
Experience running A/B tests and market-level experiments, using statistical and causal inference techniques to evaluate results, and developing post-launch testing strategies
Experience with data, including querying, aggregation, analysis, and visualization; comfortable working directly in SQL and with data science partners on model design
Ability to define and analyze metrics that inform the success of products, and excellent judgment about the dynamics of a product ecosystem
Natural ability to make things happen around you; you manage ambiguity, complexity, and interdependencies across many teams in an organized and structured way
Strong communication skills and intuition for communication strategy at every level - within teams, within the company, and with executives
Passion for Lyft and what we are trying to achieve in sustainable urban transportation

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 $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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More about this job

Responsibilities

You will own the vision and roadmap for Lyft's base pricing systems, defining success metrics and optimizing price granularity. You will collaborate with cross-functional teams including engineering, data science, and market management to align on pricing strategy and communicate results to executives.

Requirements

Candidates must have 5+ years of product management experience, specifically with algorithmic, data-driven, or marketplace products. A strong technical background in microeconomics, machine learning, or operations research is required, along with proficiency in SQL and statistical analysis.

Skills

Product management
Pricing strategy
Marketplace dynamics
Data science
Machine learning
Optimization
SQL
Statistical inference
Causal inference
Microeconomics
Econometrics
Operations research
A/B testing
Data visualization
Strategic planning
Cross-functional leadership

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health care savings account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Product Management
Base Pricing
Marketplace
Machine Learning
Optimization
SQL
Microeconomics
Operations Research
Econometrics
A/B Testing
Causal Inference
Data Science
Revenue Management
Elasticity Modeling
Cost Modeling
Strategy
Roadmap
Stakeholder Management
Transportation
Autonomous Vehicles
Data Analysis
Visualization
Pricing Engine
Dynamic Pricing
Portfolio Optimization
Impact Estimation
Hybrid Network
Market Management
Sustainability
Urban Transportation

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