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.

• →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
• →Program Design and Scaling
  • →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
• →Cross-functional Integration
  • →Partner with the technical onboarding program to ensure the onboarding experience is well-integrated with the broader technical learning ecosystem 
  • →Integrate technical manager training topics into People Development's Manager programming — ensuring engineering managers are well-served within the broader PDev portfolio
  • →As the role grows, contribute to resourcing decisions and help shape the structure of the technical learning function at Lyft
• →Stakeholder Partnership
  • →Build and maintain trusted relationships with engineering leaders, infrastructure TPMs, and tech-adjacent teams as the face of PDev to the technical community
  • →Partner with HRBPs and People Analytics to understand the needs of the technical audience and measure program impact
  • →Navigate cross-functional dependencies (legal, comms, compliance, LMS/platform) to keep programs running smoothly

• 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 — 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.