Sr Technical Program Manager, Prime Video Personalization and Discovery
AI in this role
Drive large-scale machine learning recommendation systems and personalization initiatives for Prime Video.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career in Prime Video Tech takes you!
Prime Video is a premium streaming service that offers a vast collection of digital videos—all with the ease of customers finding what they love to watch in one place.
Included with Prime: Watch thousands of popular movies and TV shows, including our critically-acclaimed Amazon Originals such as the Emmy Award-winning comedies Fleabag and Fallout, The Rings of Power, and The Summer I turned pretty, exclusives live sports including Thursday Night Football and licensed content available in more than 200 countries and territories worldwide.
Key job responsibilities
As a Senior Technical Program Manager, you will work deeply with engineering and science teams on the design, implementation, and drive the delivery of large scale recommendations systems that power all Prime VIdeo surfaces
You will be responsible for leading initiatives spanning across teams of software engineers, designing and building innovative software solutions for our customers. You will need to be an excellent leader and bridge across various parts of Tech, Product, and business.
A day in the life
- Craft a goal update for a key goal that goes up to our VP
- Attend an engineering standup and help unblock a key milestone
- Update the experimental roadmap with updates on hundreds of experiments in flight across the org
- Work through a launch-blocker with some engineers
- Talk with Product managers about the requirements for an upcoming project
- Respond to some emails and work through the release strategy for an upcoming project
About the team
We are a team that is passionate about using Machine Learning and experiments to recommend the right content to every customer at the right time. We love experimentation and learning how we can improve the quality of our recommendations. As a TPM, you will work across the team and the broader PV organization to deliver meaningful change.
We move fast, seek impact and don't forget to have fun on the way. Come help shape this important business for Prime Video and change the streaming industry.
Basic qualifications
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience building and evaluating system-level technical design
- Experience developing and executing/delivering product and technical roadmaps
Preferred qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- 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, CA, Sunnyvale - 171,000.00 - 231,400.00 USD annually
USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually
How we score this
Sr Technical Program Manager, Prime Video Personalization and Discovery at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where technical program management was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
- Walk me through how you've used Machine Learning in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Technical Program Management, Experimentation, Software Engineering, Cross Functional Leadership, and Machine Learning. 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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