At Amazon, we obsess over our customers and maintaining their trust.
To earn that trust in an environment as vast and varied as Amazon's requires the applied skills of experienced and innovative Technical Program Managers to tackle challenges at Amazon scale.
We are seeking a Sr. Technical Program Manager to lead AI Native Transformation efforts on the Engine team.
Engine delivers platform tooling that allows all Amazon employees to innovate, from capacity management, availability and incident management, and infrastructure hosting, to 1P and 3P productivity tooling, corporate access, foundational AI platforms, and the hardware Amazonians use to do their jobs.
We are looking for an individual who can lead technical initiatives, build and maintain strategic relationships with internal and external partners, define and implement repeatable processes, and deliver results across a complex landscape.
If you are passionate about building processes and technology that directly impact all Amazonians and want to join a team shaping the future of AI Native delivery at Amazon, we want to talk to you.
You will own the mechanisms that turn our AI enablement strategy into adoption across Engine.
You will partner with a Principal Engineer to identify best practices, experiment with frontier teams, and roll mature practices out to every Engine team.
You will run the monthly AI Native business review, own the retrospective cycle that sharpens our mechanisms, curate central resources (agent templates, shared skill packs, adoption playbooks), and influence teams to deliver productivity tooling that supports AI Native workflows.
Success takes maturity, high judgment, negotiation, influence, analytical talent, and leadership through ambiguity.
You will work across teams and through ambiguity.
You thrive by building consensus and driving teams toward results.
You will anticipate bottlenecks, provide escalation management, make trade-offs, and balance business needs against technical constraints.
An ability to take large, complex programs and break them down into manageable pieces to deliver them on time is essential.
Maturity, high judgment, negotiation skills, ability to influence, analytical talent, and leadership are critical to success in this role.
Key job responsibilities
- Own the planning, execution, and delivery of the AI Native Transformation program across Engine, from experiment through org-wide rollout.
Partner with the Principal Engineer to identify best practices, define the mechanisms that drive adoption, establish milestones, identify critical-path dependencies, and drive teams to deliver on schedule.
- Run the monthly business review for leadership: define metrics, report on progress against goals, and frame the decisions leadership needs to make.
- Identify common knowledge-worker workflows, rebuild them AI-natively, and influence the teams that build Amazon's productivity tooling to deliver those solutions as product features, extending Engine's work to every Amazonian.
- Coordinate across engineering teams, central tooling partners, and enablement teams to align priorities, resolve cross-organizational blockers, and build lasting partnerships with stakeholders at all levels.
- Curate the central resources teams rely on, including default agent templates, shared skill packs, and adoption playbooks.
- Program the organization's AI upskilling, working with the enablement team and role leads to schedule trainings, workshops, and office hours.
- Run the retrospective cycle each period, turning what teams report and what the metrics show into mechanism changes that raise adoption over time. About the team
Our customers are Amazonians, every one of them.
We build the technology that keeps the whole company productive, from the systems that keep Amazon's websites running to the productivity tools, corporate access, AI platforms, and hardware people use every day.
Our mission is to foster invention for all Amazonians, and right now we are making that work AI-native.
You would work closely with a principal engineer to define best practices, with builder teams to transform how they work, and with the teams who own productivity tooling to shape the features that bring AI-native workflows to every Amazonian.