AmazonSr. Technical Program Manager, Engine AI Transformation
Amazon is hiring a Sr. Technical Program Manager, Engine AI Transformation in New York, United States. It pays $164k-$221k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Agent Templates, Adoption Playbooks and program management.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Lead the AI Native Transformation program on the Engine team at Amazon, driving adoption of AI enablement strategies and productivity tooling.
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.
Basic qualifications
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 163,600.00 - 221,300.00 USD annually
USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually
How we rate this
Sr. Technical Program Manager, Engine AI Transformation at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where ai transformation was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where process optimization was part of your work. What did you do?
- Walk me through how you've used Agent Templates in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Program Management, AI Transformation, Stakeholder Management, Process Optimization, and Agent Templates. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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