Lyft

Product Manager, Risk Tech - Claims

🇨🇦 Toronto, CA Hybrid IT Senior Posted May 15, 2026
LocationToronto, CA
WorkplaceHybrid
SenioritySenior
CategoryIT
IT CategoryProduct Manager
LanguageEnglish
PostedMay 15, 2026
Last verifiedMay 15, 2026

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Key details
1 location, IT, Product Manager, Hybrid, Senior
Current openings
70 active jobs
Original language
English
Source and freshness
Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 15, 2026.
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JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.

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 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.

As the Product Manager for Risk Tech - Claims, you’ll be thinking about our overall Claims experience. You will be assessing and creating the products around how to report an accident, how to update our internal records, work with external insurance partners and get the driver back on the road. Given Insurance is Lyft’s largest variable cost, we are looking for someone who can think about a multi billion P&L and influence leadership. Finally, Lyft is partnering with industry leading Insurance carriers and technology providers, and the Product Manager is expected to drive meaningful strategic conversations that would shape the long term structure of our Insurance program.

Responsibilities:

  • Lead the long-term vision, strategy, and product execution for the end to end claims process.
  • Integrate the latest ML, AI, and LLM tools into the overall process utilizing our large claims and telematics datasets to drive improvements for both accuracy and speed 
  • Focus on enabling key use cases, driving impact and balancing technical considerations 
  • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of the risk tech landscape.
  • Execute on the roadmap with proper OKRs and project tracking
  • Communicate roadmaps, priorities and decisions across a wide spectrum of audiences from partner teams to executive levels. 
  • Ensure that key leadership & stakeholders are aligned on proper priorities, opportunities and progress on key initiatives

Experience:

  • Minimum of 4 years of product management or relevant product experience
  • An academic background in Engineering, Computer Science, or related science discipline.
  • Have a data driven mindset and are comfortable working with large data sets and technical internal tools
  • Detail oriented with superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you.
  • History of effectively working cross functionally and bridging gaps with multiple teams
  • Be able to define and analyze metrics that inform the success of products.
  • Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users, to press, and other audiences.
  • Experience leading post-launch optimizations including developing testing strategies.
  • Bonus:
    • Experience building B2C software or internal tools in large complex ecosystems. 
    • Experience with Insurance Products or working closely with Insurance 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 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 CAD $108,000 - CAD $135,000, 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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