Technical Learning Manager

About Lyft

Lyft’s mission is to serve and connect people by building a workplace where employees feel they belong and can grow. The People Development team is responsible for creating the systems that help Lyft’s people develop, scale, and succeed.

As the Technical Learning Manager, you will lead the strategy and delivery of learning programs for the Engineering, Science, Product, and Design organizations. This is a high-impact role focused on strengthening how technical teams learn, grow, and stay aligned with business priorities.

The position brings together learning experience design, program leadership, and technical organizational support. You will take over an existing set of programs for software engineers, including technical learning, compliance training, and documentation efforts, and extend them across Lyft’s broader technology groups.

You will report to the Head of People Development and collaborate with functional excellence leaders, HR business partners, and other internal partners to make sure technical learning work is effective, well received, and connected to measurable outcomes.

Key responsibilities

In this role, you will oversee technical learning end to end, from strategy through execution, while keeping programs current, scalable, and relevant to engineering teams.

Program ownership

• Set direction and manage delivery for Lyft’s technical learning portfolio, including ongoing engineering education, documentation improvement, and compliance learning.
• Run mid-cycle programs that already have active stakeholders and fixed commitments, maintaining consistency, quality, and follow-through.
• Oversee editorial operations for internal technical content efforts such as the Tech Blog, including workflow, contributor coordination, and publishing processes in partnership with engineers.
• Review the current learning portfolio and recommend changes based on engineer needs and business goals.
• Design learning experiences that help technical teams do their best work.
• Build AI learning into all relevant programs, including LLM education, productivity-focused AI enablement, and coordination across Lyft’s AI training efforts.
• Work with internal AI Champions and peer program owners so learning initiatives complement one another and reach the right groups.
• Maintain technical learning sites, materials, and reference resources so content stays accurate, easy to find, and aligned to current priorities.

Program design and scaling

• Create learning programs in uncertain or undefined areas by clarifying goals, setting success measures, and designing for long-term sustainability.
• Use champion networks and internal subject matter experts to expand content delivery efficiently.
• Document programs so they can be self-serve or transferred smoothly when needed.
• Develop a scalable continuing education model for engineers based on identified capability gaps.
• Produce learning content tailored to technical audiences.

Cross-functional integration

• Coordinate with technical onboarding to ensure the onboarding experience connects well with the wider technical learning ecosystem.
• Bring technical manager development topics into the broader People Development manager curriculum so engineering managers are supported appropriately.
• As the function grows, help with resourcing decisions and contribute to shaping the structure of technical learning at Lyft.

Stakeholder partnership

• Develop trusted relationships with engineering leaders, infrastructure TPMs, and other tech-adjacent teams as the main PDev contact for the technical community.
• Work with HRBPs and People Analytics to understand audience needs and evaluate program impact.
• Coordinate across legal, communications, compliance, LMS, and platform partners so programs continue to run smoothly.

What we are looking for

Lyft is seeking someone with substantial experience in learning and development, technical program management, or a similar field, along with proven ownership of complex cross-functional initiatives. The ideal candidate will be comfortable creating learning for technical audiences, working with code-related workflows, and building practical curricula for hands-on environments.

You should be able to manage several programs at once, set milestones, identify risks, and adapt when the work is ambiguous. The role also requires the ability to build strong relationships with engineering leaders and other stakeholders, and to communicate recommendations clearly to senior leadership.

Experience with AI/ML learning content, developer education, or technical enablement is important, as is familiarity with LMS tools and compliance training processes. A fast-moving environment where programs may need to be created, inherited, or adjusted should feel comfortable to you.

Benefits and perks

• Coverage for extended health and dental care, plus life insurance and disability benefits.
• Mental health support.
• Benefits for family building.
• Support for child care and pet care.
• Access to a company-funded health care savings account.
• RRSP plan with company matching.
• Flexible paid time off for salaried employees, in addition to provincial holidays; hourly employees receive 15 days of paid time off plus one extra day for each year of service.
• 18 weeks of paid parental leave top-up support for biological, adoptive, and foster parents.
• Subsidized commuter benefits and Lyft ride credits.

Work arrangement

This is an in-office hybrid position based in Toronto, Ontario, Canada. Team members are expected to work from the office at least three days per week, specifically on Mondays, Wednesdays, and Thursdays. Working on-site three days weekly is considered an essential part of the role. Hybrid employees may also work from anywhere for up to four weeks each year.

Equal opportunity and accommodation

Lyft is committed to building an inclusive workplace and providing equal employment opportunities regardless of protected characteristics under applicable law or company policy. The company also maintains a strict no-harassment standard and supports workplace safety. Accommodation for people with disabilities is available upon request during the application and hiring process.

Compensation

The expected base salary range for this role in the Toronto area is CAD 122,000 to CAD 152,500 per year, excluding possible equity, bonus, and additional benefits. Final compensation will depend on qualifications, experience, and work location.

Additional information

Lyft may use artificial intelligence to screen applications, but hiring decisions are ultimately made by Lyft employees. This position fills an existing vacancy.