Description
At Amazon Ads, we're re-imagining the advertising landscape through advanced generative AI technologies and AI agents, revolutionizing how millions of customers discover products and engage with brands online. As a Principal Technical Program Manager, you’ll lead large-scale technical programs that deliver forecasting and guidance experiences powered by machine learning and conversational AI. You’ll bridge engineering, applied science, and product teams to ensure advertisers have the tools to plan, optimize, and measure campaigns at scale—shaping the future of digital advertising.
Key job responsibilities
Own end-to-end program management for advertiser-facing forecasting and guidance experiences, including interactive planning surfaces and conversational AI tools, coordinating across multiple teams and organizational leaders.
Drive technical strategy and roadmap alignment across engineering, applied science, product, and business teams, sequencing dependencies and delivering against committed timelines.
Lead cross-functional teams through complex technical challenges in demand forecasting, recommendation systems, campaign management, and measurement.
Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability; define success metrics around coverage, adoption, engagement, accuracy, and business impact.
Identify, assess, track, and mitigate technical and operational risks across large-scale distributed systems, including calibration, monitoring, and rollback mechanisms required to safely ship machine learning-driven experiences.
Partner with engineering and applied science leaders to influence architecture decisions and plan the launch of model improvements into customer-facing surfaces.
Build and maintain relationships with senior stakeholders across Amazon Ads and partner organizations, negotiating integration points where forecasting and guidance capabilities connect with shared advertiser surfaces.
A day in the life
Your day centers on driving large-scale technical programs that transform how advertisers interact with Amazon Ads. You’ll lead design reviews for conversational AI tools that help advertisers diagnose campaigns, conduct launch-readiness reviews for forecasting accuracy improvements, and unblock cross-team dependencies that integrate recommendations into partner-owned surfaces. You’ll draft risk narratives for business reviews and prepare presentations for VP-level leadership, translating technical insights into actionable recommendations. Throughout the day, you’ll connect insights across applied science, engineering, product, and design to ensure multiple workstreams align into one coherent customer experience.
About the team
We build the intelligence layer that powers Amazon's advertising demand. Our forecasting predicts impressions, spend, reach, and performance for advertiser campaigns, while our guidance systems surface personalized recommendations that help advertisers create better campaigns and quickly resolve delivery and performance issues. We are a collaborative team of applied scientists, engineers, product managers, and designers working at the frontier of machine learning for advertising. We prioritize accuracy, trust, and customer outcomes—making trade-offs explicit, keeping ownership clear, and maintaining a high bar for quality. You'll work with partners across engineering, product, UX, sales, and marketing to solve complex problems that shape the future of digital advertising.
Key job responsibilities
Own end-to-end program management for advertiser-facing forecasting and guidance experiences, including interactive planning surfaces and conversational AI tools, coordinating across multiple teams and organizational leaders.
Drive technical strategy and roadmap alignment across engineering, applied science, product, and business teams, sequencing dependencies and delivering against committed timelines.
Lead cross-functional teams through complex technical challenges in demand forecasting, recommendation systems, campaign management, and measurement.
Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability; define success metrics around coverage, adoption, engagement, accuracy, and business impact.
Identify, assess, track, and mitigate technical and operational risks across large-scale distributed systems, including calibration, monitoring, and rollback mechanisms required to safely ship machine learning-driven experiences.
Partner with engineering and applied science leaders to influence architecture decisions and plan the launch of model improvements into customer-facing surfaces.
Build and maintain relationships with senior stakeholders across Amazon Ads and partner organizations, negotiating integration points where forecasting and guidance capabilities connect with shared advertiser surfaces.
A day in the life
Your day centers on driving large-scale technical programs that transform how advertisers interact with Amazon Ads. You’ll lead design reviews for conversational AI tools that help advertisers diagnose campaigns, conduct launch-readiness reviews for forecasting accuracy improvements, and unblock cross-team dependencies that integrate recommendations into partner-owned surfaces. You’ll draft risk narratives for business reviews and prepare presentations for VP-level leadership, translating technical insights into actionable recommendations. Throughout the day, you’ll connect insights across applied science, engineering, product, and design to ensure multiple workstreams align into one coherent customer experience.
About the team
We build the intelligence layer that powers Amazon's advertising demand. Our forecasting predicts impressions, spend, reach, and performance for advertiser campaigns, while our guidance systems surface personalized recommendations that help advertisers create better campaigns and quickly resolve delivery and performance issues. We are a collaborative team of applied scientists, engineers, product managers, and designers working at the frontier of machine learning for advertising. We prioritize accuracy, trust, and customer outcomes—making trade-offs explicit, keeping ownership clear, and maintaining a high bar for quality. You'll work with partners across engineering, product, UX, sales, and marketing to solve complex problems that shape the future of digital advertising.
Basic Qualifications
- 7+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience owning/driving roadmap strategy and definition
- Experience working directly with engineering teams
- Bachelor's degree in computer science or other related discipline
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- 7+ years of working directly with engineering teams experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience owning/driving roadmap strategy and definition
- Experience working directly with engineering teams
- Bachelor's degree in computer science or other related discipline
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
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
- Experience with AI/ML technologies
- Experience leading complex programs with significant change impact across organizational boundaries
- Experience in user experience design, product strategy, or customer-facing product development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
USA, CA, Mountain View - 203,500.00 - 275,300.00 USD annually
USA, CA, Palo Alto - 203,500.00 - 275,300.00 USD annually
USA, NY, New York - 194,700.00 - 263,400.00 USD annually
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience with AI/ML technologies
- Experience leading complex programs with significant change impact across organizational boundaries
- Experience in user experience design, product strategy, or customer-facing product development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Mountain View - 203,500.00 - 275,300.00 USD annually
USA, CA, Palo Alto - 203,500.00 - 275,300.00 USD annually
USA, NY, New York - 194,700.00 - 263,400.00 USD annually
