
Principle Technical Program Manager, FAIM (Full Funnel Agentic Intelligence and Models)
SEATTLE, WAJob$177–239K/yrSeen todaySeen in employer's feed today
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Job overview
Amazon Advertising is building foundational optimization science to help models reason about advertisers’ strategic goals. The Principal Technical Program Manager for FAIM will shape the model-training strategy and drive execution, owning the roadmap and sequencing across program pillars. The role aligns scientists, engineers, product leaders, and business teams, taking models from research to production while guiding decisions on training data, compute, evaluation, and infrastructure.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Amazon Advertising is building the foundational optimization science that will teach machines to think like advertising strategists — not just configure campaigns, but reason about goals like "how can I make more money." As a Principal Technical Program Manager for the FAIM team, you will own this rare charter from strategy through execution, shaping how Amazon helps advertisers achieve outcomes that today's models cannot.
Current state-of-the-art models can set up ad campaigns to a specification, but do not understand advertising strategy well enough to help with the abstract goals that real advertisers ask about. You will develop the strategy and drive execution of the foundational model training plan to close this gap.
You will own the program roadmap and sequencing across these pillars, define milestones and success criteria, and drive cross-team alignment across a growing organization of scientists and engineers. You will partner with science, engineering, and product leadership to take models from research to production at Amazon scale — driving decisions on training data strategy, compute capacity, model evaluation frameworks, and infrastructure readiness.
Key job responsibilities
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Own end-to-end program management for strategic technology initiatives spanning multiple teams and organizations
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Drive technical strategy and roadmap alignment across engineering, product, science, and business teams
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Lead cross-functional teams through complex technical challenges
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Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability at the VP and SVP level
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Identify and mitigate technical and operational risks across large-scale distributed systems serving billions of requests daily
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Partner with engineering leaders to influence architecture decisions and ensure scalability, reliability, and performance
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Drive operational excellence through process improvements, automation, and best practices
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Mentor and develop other TPMs across the organization
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Represent this technical program in executive-level reviews and planning sessions
About the team
The FAIM (Full Funnel Agentic Intelligence and Models) team builds the agentic AI systems behind next-generation advertising. The team develops multimodal foundation models and LLM-driven agents that power shopper understanding, audience-aware creative generation, and agentic advertising workflows.
Basic Qualifications
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7+ years of technical product or program management experience
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7+ years of working directly with engineering teams experience
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5+ years of software development experience
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Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred Qualifications
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8+ years of hands-on work managing complex technology projects experience
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Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
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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 - 194,700.00 - 263,400.00 USD annually
USA, WA, SEATTLE - 177,000.00 - 239,400.00 USD annually
How this job compares
Set against the 3,577 open Technical Program Manager jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$177–239K/yr
- Washington median$149–201K/yr336 salary ranges
- US median$131–215K/yr3,282 salary ranges
This range's midpoint, $208K, is 19% above the Washington median midpoint ($175K) — in the middle half of Technical Program Manager salary ranges in Washington.
- Openings
- Olive Jobs lists 345 open Technical Program Manager jobs in Washington and 3,577 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 7 years of experience; Technical Program Manager postings that state a minimum ask for 7 years at the median (2,866 postings).
- Education
- 674 of the 3,577 open Technical Program Manager jobs (19%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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