Technical Learning Manager

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 People Development team is building the infrastructure for how Lyft grows, develops, and equips its people. As Technical Learning Manager, you will own the strategy and execution of technical learning programs for Lyft's Engineering, Science, Product, and Design organizations - one of our highest-leverage investments in people.

This role sits at the intersection of learning design, program management, and functional excellence across the technology organizations. You will inherit an established portfolio of programs for software engineers - including Tech Learning, compliance training, and documentation initiatives - and will be responsible for running, evolving, and expanding them across all of Lyft’s tech orgs.

You will report to the Head of People Development and work closely with Functional excellence leadership, HRBPs, and cross-functional partners to ensure our technical learning programs are high-quality, well-adopted, and tied to real business outcomes.

Responsibilities:

• Program Ownership
• Own the strategy and execution of Lyft's technical learning portfolio, including engineering continuing education programs, documentation improvement initiatives and compliance training
• Manage mid-cycle programs with active stakeholder relationships and scheduled commitments - ensuring continuity, quality, and follow-through
• Provide editorial oversight for Lyft's internal technical content initiatives, including the Tech Blog - managing workflow, stakeholder relationships, and publication processes in partnership with engineering contributors
• Assess the current program portfolio and make recommendations grounded in engineer needs and business priorities
• Provide engaging learning experiences that empower technologists to do their best work at Lyft
• Embed AI upskilling in all programs including LLM education, AI productivity programming, and connecting the dots across all AI training functions at Lyft
• Partner with internal AI Champions and peer learning program owners to ensure technical learning initiatives are connected, complementary, and reaching the right audiences
• Own and maintain tech learning sites, resources, and reference materials - ensuring content is current, discoverable, and reflects the latest programs and priorities

Experience:

• 5+ years of experience in learning & development, technical program management, or a closely related field - with demonstrated ownership of complex, cross-functional programs
• Experience designing and delivering learning programs for technical audiences (i.e. Software Engineering) - you should be comfortable reviewing code snippets, understanding Git workflows (e.g. opening PRs, working in GitHub), and building curriculum for hands-on technical content
• Strong program management skills: able to manage multiple programs simultaneously, define milestones, identify risks, and adapt in ambiguous environments
• Demonstrated ability to build trusted relationships with engineering leaders and cross-functional stakeholders
• Experience with AI/ML learning content, technical enablement, or developer education
• Familiarity with LMS platforms (e.g., Codecademy, Docebo, Udemy) and experience managing compliance or required training workflows
• Excellent communication skills - able to synthesize complex tradeoffs and present recommendations to senior leaders clearly and confidently
• Comfort operating in a fast-moving environment where programs may need to be built, inherited, or adapted.

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 $122,000 - CAD $152,500, 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.