Role at a glance
- Salary
- $194.7K – $263.4K/yr
- Location
- New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of technical product or program management experience
- Education
- Bachelor's degree in Computer Science, Engineering, or related fields
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Role Summary
The Principal Technical Project Manager will lead development and delivery of media planning capabilities within Ads Agent, an AI-powered conversational platform for media planners. The role owns the end-to-end lifecycle of planning skills across 23+ global marketplaces and coordinates integration with Amazon’s planning-to-activation ecosystem.
What You'll Do
- Own delivery of media planning skills including Reach Estimation, Audience Discovery, Budget Allocation, and Plan Creation.
- Drive skill development from beta phases through general availability and manage success criteria and readiness.
- Establish evaluation frameworks, analyze conversation logs, and collaborate on model refinement to improve response quality and accuracy.
- Define and monitor skill-level metrics such as task completion rates, response accuracy, and user engagement.
- Coordinate user acceptance testing, beta account onboarding, and go-to-market readiness across stakeholders and teams.
- Connect planning skills with campaign activation and coordinate workflows across teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 10+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 8+ years of hands-on work managing complex technology projects 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 with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Bachelor's degree in Computer Science, Engineering, or related fields
Preferred
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience with and deep understanding of advertising technologies (i.e., ad server, DSP)
- Master's degree in a technical field
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Key job responsibilities
Own end-to-end project delivery for media planning skills including Reach Estimation, Audience Discovery, Budget Allocation, and Plan Creation, ensuring each new capability is developed and launched as a skill
Drive skill development lifecycle from initial beta phases through general availability, managing success criteria and readiness at each stage
Improve response quality and accuracy by establishing evaluation frameworks, analyzing conversation logs, and collaborating with teams to reduce error rates through continuous model refinement
Define and monitor skill-level success metrics such as task completion rates, response accuracy, and user engagement to track performance and guide optimization efforts
Coordinate cross-functional efforts including user acceptance testing, beta account onboarding, and go-to-market readiness across all stakeholders and teams
A day in the life
Your focus centers on advancing media planning capabilities within Ads Agent. You'll collaborate with engineering and machine learning teams to refine skills like Reach Estimation, Audience Discovery, and Budget Allocation, ensuring responses are accurate and trustworthy. You'll analyze conversation logs to identify improvement opportunities and drive model enhancements, balancing technical complexity with real-world advertiser needs.
You'll coordinate cross-functional initiatives to connect planning skills with campaign activation, ensuring seamless workflows across teams. You'll define skill-level metrics such as task completion rates and response accuracy, then manage beta cycles by onboarding strategic advertisers for testing. Throughout your week, you'll partner with leaders to align roadmaps, secure resources, and communicate Ads Agent's value across global markets.
About the team
We’re a cross-functional team combining AI innovation with advertising expertise. Our goal is to make media planning more efficient and accessible for advertisers worldwide. We work closely with engineers, data scientists, and product teams to build tools that support media planners. The team values collaboration, practical problem-solving, and delivering results that advertisers can trust.
Basic Qualifications
- 10+ years of technical product or program management experience- 7+ years of working directly with engineering teams experience
- 8+ years of hands-on work managing complex technology projects 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 with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Bachelor's degree in Computer Science, Engineering, or related fields
- Experience in verbal and written communication for executive level leaders
- Track record delivering large-scale, cross-functional projects with measurable business impact
Preferred Qualifications
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules- Experience with and deep understanding of advertising technologies (i.e., ad server, DSP)
- Master's degree in a technical field
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team
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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.