Technical Learning Manager

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 internal technical content initiatives, including the Tech Blog, managing workflow, stakeholder relationships, and publication processes with engineering contributors.
• Assess the current program portfolio and make recommendations based on engineer needs and business priorities.
• Provide engaging learning experiences that empower technologists to do their best work.
• Embed AI upskilling across programs, including LLM education, AI productivity programming, and coordination across AI training functions.
• Partner with internal AI Champions and peer learning program owners to ensure initiatives are connected, complementary, and reaching the right audiences.
• Own and maintain technical learning sites, resources, and reference materials, ensuring content is current and discoverable.

Program Design and Scaling

• Design programs in ambiguous spaces by clarifying goals, defining success metrics, and building toward sustained program health.
• Leverage champion models and internal subject matter experts to scale content delivery.
• Document and structure programs for self-service or handoff where appropriate.
• Build a scalable, structured continuing education program for engineers, anchored in identified skill gaps.
• Create learning content for technical audiences.

Cross-Functional Integration

• Partner with the technical onboarding program to integrate onboarding with the broader technical learning ecosystem.
• Integrate technical manager training topics into People Development's manager programming.
• Contribute to resourcing decisions and help shape the structure of the technical learning function.

Stakeholder Partnership

• Build trusted relationships with engineering leaders, infrastructure TPMs, and technology-adjacent teams.
• Partner with HRBPs and People Analytics to understand technical audience needs and measure program impact.
• Navigate dependencies across legal, communications, compliance, LMS, and platform teams.

Requirements

• 5+ years of experience in learning and development, technical program management, or a closely related field, with ownership of complex, cross-functional programs.
• Experience designing and delivering learning programs for technical audiences such as software engineering.
• Comfort reviewing code snippets, understanding Git workflows, opening pull requests, working in GitHub, and building curricula for hands-on technical content.
• Strong program management skills, including managing multiple programs, defining milestones, identifying risks, and adapting in ambiguous environments.
• 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 such as Codecademy, Docebo, or Udemy, and experience managing compliance or required training workflows.
• Excellent communication skills, including synthesizing complex tradeoffs and presenting recommendations to senior leaders.
• Comfort working in a fast-moving environment where programs may need to be built, inherited, or adapted.

Benefits

• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health, family-building, child-care, and pet benefits.
• Lyft-funded Health Care Savings Account.
• RRSP plan with company match.
• Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off, with an additional day per year of service.
• 18 weeks of paid parental leave for eligible biological, adoptive, and foster parents.
• Subsidized commuter benefits and Lyft ride credits.
• Hybrid roles may work from anywhere for up to 4 weeks per year.
• Expected base pay range in the Toronto area: CAD $122,000–$152,500, excluding potential equity, bonus, or benefits.