Principal Tech Program Manager, Personalization
Amazon is hiring a Principal Tech Program Manager, Personalization in Seattle, United States. It pays $177k-$239k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include program management, machine learning and distributed systems.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Lead technical program management for large-scale real-time machine learning personalization systems and page optimization.
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
- 10+ years of engineering experience
- 7+ years of technical product or program management 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
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 we rate this
Principal Tech Program Manager, Personalization 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where personalization was part of your work. What did you do?
- 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, Machine learning, Distributed Systems, and Personalization. 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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