Level

Lyft

Engineering Manager, Dynamic Pricing

Lyft is hiring an Engineering Manager, Dynamic Pricing in Toronto, Canada. It pays $172k a year and Level rates it ; you can apply on Lyft.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Python, Machine learning and Optimization among its tools and skills.
  • Lyft has 180 other open roles on Level.
  • Posted within the past week.

AI in this role

Lead an engineering team partnering with scientists to productionize dynamic pricing machine learning models at scale.

pythonmachine-learningoptimization
engineering-managementmlopssystem-architecture

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.

The Marketplace organization at Lyft is responsible for accelerating the growth of the business while delivering on key business and financial metrics, and Pricing sits at the heart of it. The Dynamic Pricing & Offer Selection team uses real-time and historical data to set the price of every ride on Lyft, balancing price and ETA so riders have a great experience and drivers have earning opportunities when and where demand is highest. We also decide which ride options a rider sees, which makes our systems one of the highest-traffic, most business-critical services at the company.

We're a tightly integrated team of software engineers and data scientists spread across the US and Canada. Engineers and scientists work side by side to take machine learning and optimization models from research to production while scaling our systems to handle more volume. We are looking for an Engineering Manager to lead a group of 6-8 engineers. You'll own the reliability and evolution of dynamic pricing systems that operate at Lyft's full scale, partner closely with our technical and product leadership to define the roadmap, and grow a strong team of engineers. This is a hands-on leadership role for someone who enjoys going deep on technical tradeoffs, cares equally about operational excellence and business outcomes, and is energized by working in a fast-paced environment with high impact.

Responsibilities:

Execution and Planning

  • Own and drive engineering execution for the team's roadmap, from planning through delivery, adapting as priorities and business conditions change
  • Define the team's engineering vision and short- and mid-term plans in partnership with Science and Product, making clear tradeoffs between technology, product and business needs
  • Facilitate cross-functional decision-making and resolve blockers with partner teams across Marketplace
  • Build relationships with key stakeholders to align on standards, identify collaboration opportunities, and keep them informed of risks and dependencies

Technical Leadership

  • Understand the team's stack deeply and be accountable for architectural decisions
  • Partner with tech leads and scientists to productionize models safely, with strong experimentation, shadowing, rollout and monitoring practices
  • Ensure production readiness by setting success metrics, SLAs and reliability standards; own on-call health and serve as an escalation point during incidents, including major events
  • Manage tech debt and make sure systems stay reliable, efficient and cost-effective as the platform evolves

People

  • Hire, develop and retain a diverse team of engineers, and build an environment where open, positive collaboration between engineering and science is the norm
  • Set clear expectations, give timely feedback, evaluate performance fairly, and support each engineer's growth and career development
  • Match people to opportunities that stretch them, and develop future technical leaders on the team
  • Define and refine team processes, tooling and operating rhythms
  • Contribute to the broader Lyft engineering community through mentoring, interviewing and knowledge sharing

Experience:

  • B.S. or M.S. in Computer Science or equivalent practical experience
  • At least 5 years of software development experience, with enough technical depth to engage credibly in architecture and design discussions
  • At least 3 years of people management experience, with a demonstrated ability to grow engineers and build cohesive teams
  • Proven track record of delivering projects end-to-end in a fast-paced environment, balancing speed with quality and sustainability
  • Strong cross-functional collaboration skills — comfortable working alongside Product, Design, Science, and Analytics to align on priorities and drive shared outcomes
  • Ability to operate effectively in ambiguity, decompose complex problems, and bring structure and clarity to the team
  • Experience managing a diverse set of engineering roles — backend, web, mobile, and/or data — is a plus
  • Experience working on a growth-focused team or org (incentives, messaging, ads) is a plus
  • Strong written and verbal communication skills, with the ability to represent the team clearly to senior stakeholders and advocate effectively for resourcing and prioritization

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.

How we rate this

Engineering Manager, Dynamic Pricing at Lyft rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementMLOpsSystem ArchitecturePythonMachine learningOptimization

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where mlops was part of your work. What did you do?
  3. Tell me about a project where system architecture was part of your work. What did you do?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used Machine learning in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Engineering Management, MLOps, System Architecture, Python, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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