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Principal Technical Program Manager, Discovery Tech, US Prime & Marketing Technology

Amazon is hiring a Principal Technical Program Manager, Discovery Tech, US Prime & Marketing Technology in New York, United States. It pays $195k-$263k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this marketing role: the daily work is on AI products, without building the model.
  • Pay on this posting starts 32% higher than the typical marketing posting on Level.
  • The posting mentions program management, cross functional leadership and generative AI among its tools and skills.
  • Amazon has 20,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Manage cross-functional programs scaling AI-native workflows and generative AI capabilities across marketing operations and product experiences.

program-managementcross-functional-leadershipgenerative-aistakeholder-management
This role sits at the intersection of two high-impact charters: Marketing AI, transforming how Marketing AI technology evolves and thousands of marketers work through AI-native workflows, and Amazon Registries, the #1 wedding and baby registry in the U.S. serving millions of customers. We are looking for a Principal Technical Program Manager who can operate across both cross organizational programs, driving execution on complex cross-functional programs while connecting the dots between them, and bringing AI capabilities into the Registries customer experience and marketing operations.

You will manage programs that span engineering, product, science, and marketing teams, ensuring we ship on time, remove blockers, and maintain visibility across senior leadership. You'll be equally adept running a Registries product launch as you are coordinating an AI adoption pilot across multiple marketing teams. The ideal candidate thrives in ambiguity, moves fast, and sees the connective tissue between programs that others miss.

Key job responsibilities
• Drive end-to-end program execution across cross-organizational Marketing AI program and Registries, managing dependencies, timelines, risks, and stakeholder communication
• Identify and act on opportunities to bring AI and generative AI capabilities to numerous organizations including Registries product experience (personalized recommendations, automated merchandising, AI-driven discovery)
• Coordinate across engineering, product, applied science, and marketing teams to deliver complex, multi-team programs on time and at quality
• Build and maintain program mechanisms: roadmap tracking, status reporting, escalation paths, and review cadences for senior leadership
• Connect the dots between teams and charters: surface shared learnings, reusable patterns, and integration opportunities that accelerate both programs
• Drive AI applications within Registries, partner with the broader Marketing AI for Me initiative to apply playbooks, SOPs, and pilot frameworks
• Manage technical trade-offs and sequencing decisions in partnership with engineering leads; understand system architecture well enough to ask the right questions and unblock teams
• Communicate program status, risks, and decisions clearly to senior leadership through written narratives and verbal updates
• Build trust across multiple teams and organizations; influence without authority to keep programs moving in a matrixed environment

About the team
The Discovery Tech team helps customers discover and engage with new, popular, and relevant products across Amazon worldwide, combining technology, science, and creativity to build customer-facing features and tools for marketers. Within Discovery Tech, Amazon Registries is the #1 wedding and baby registry in the U.S., a high-traffic product used by millions every year. Our Marketing AI for Me initiative is transforming how thousands of marketers work through AI-native workflows. This TPM role bridges both, driving execution across Registries and Marketing AI while bringing generative AI capabilities into the registry experience.

Basic qualifications

- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- 5+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred qualifications

- 8+ years of hands-on work managing complex technology projects experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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 - 194,700.00 - 263,400.00 USD annually
USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually

How we rate this

Principal Technical Program Manager, Discovery Tech, US Prime & Marketing Technology 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Program ManagementCross Functional LeadershipGenerative AIStakeholder Management

Also common in marketing jobs at this level

Pay

This job starts at
$195k
Typical marketing job
$148k

This posting starts 32% above the typical marketing job. See marketing jobs

Questions you could be asked

  1. Tell me about a project where program management was part of your work. What did you do?
  2. Tell me about a project where cross functional leadership was part of your work. What did you do?
  3. Tell me about a project where generative ai was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Program Management, Cross Functional Leadership, Generative AI, and Stakeholder Management. 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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