Principal Tech Program Manager, Personalization
Seattle, WAJob$177–239K/yrSeen todaySeen in employer's feed today
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Job overview
Amazon’s Personalization team builds real-time systems that tailor customer experiences across Amazon’s prominent pages. The Principal Technical Program Manager will partner with engineers to design and implement page optimization systems, manage complex programs, and balance customer and business needs with technical constraints. The role coordinates cross-functional teams and strategic programs, with direct impact on high-revenue features.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Amazon’s Personalization team is responsible for tailoring the experience of every customer on Amazon’s most prominent pages, billions of times a day. Utilizing state of the art machine learning techniques, we build highly scalable, real-time systems that determine the content customers see across the Amazon ecosystem.
As a TPM, you will work with a team of engineers designing and implementing advance page optimization systems, inventing ways to multiply the rate of innovation across the company on behalf of our customers. You will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints. An ability to assimilate a large number of inputs from stakeholders, develop cohesive designs and functional specs, prioritize and deliver them in a successful and timely manner is expected. You will clearly communicate goals, requirements, roadmaps, and timelines to internal cross-functional and remote project teams. You are entrepreneurial, innovative, and thrive on solving complex problems. Maturity, sound business and technical judgement, negotiation skills, ability to influence, and leadership are essential to success in this role.
You will have a unique opportunity with large scope and responsibility – you will directly impact and help manage features generating billions of dollars of revenue per year. You will collaborate with teams and leaders across the entire company, including the most strategic programs, and gain exposure to many aspects of the Amazon business. You will be a part of a fast paced, growing research and development team. If you want to help build the future of personalized merchandising on Earth’s biggest online retailer, we would love to talk to you!
About the team
Amazon’s Personalization organization is a group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work full stack, from foundational backend systems to future-forward user interfaces. Our team’s culture is centered on rigorous experimentation and data-driven decision-making. We care deeply about our customers, as well as the well-being and growth of our team members. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.
Basic Qualifications
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10+ years of engineering experience
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7+ years of technical product or program management 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
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, WA, Seattle - 177,000.00 - 239,400.00 USD annually
How this job compares
Set against the 3,826 open Technical Program Manager jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$177–239K/yr
- Washington median$149–201K/yr342 salary ranges
- US median$131–220K/yr3,505 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 350 open Technical Program Manager jobs in Washington and 3,826 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 10 years of experience; Technical Program Manager postings that state a minimum ask for 7 years at the median (2,948 postings).
- Education
- 1,020 of the 3,826 open Technical Program Manager jobs (27%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 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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