Technical Learning Manager
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Key skills for this role
About the Role
Lyft is seeking a Technical Learning Manager to own the strategy and execution of technical learning programs for Engineering, Science, Product, and Design organizations. The role involves program ownership, design, scaling, and cross-functional integration.
Key Skills for This Role
Responsibilities
- 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
- Design programs in ambiguous spaces — clarifying goals, defining success metrics, and building toward sustained program health
- Leverage a champion model and internal subject matter experts to scale content delivery
- Ensure programs are documented and structured for self serve or handoff where appropriate
- Build toward a scalable, structured continuing education program for engineers at Lyft, anchored in identified skill gaps
Requirements
- 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.
Full Job Posting
Overview
- At Lyft, our purpose is to serve and connect.
- 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
- 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
- Design programs in ambiguous spaces — clarifying goals, defining success metrics, and building toward sustained program health
- Leverage a champion model and internal subject matter experts to scale content delivery
- Ensure programs are documented and structured for self serve or handoff where appropriate
- Build toward a scalable, structured continuing education program for engineers at Lyft, anchored in identified skill gaps
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.
- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top up plan to complement provincial programs.
- Subsidized commuter benefits and Lyft ride credits
Workplace
- 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.
- Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
Salary
- 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.
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