Principal Technical Program Manager, Sequence Models (project Sequoia)
Amazon is hiring a Principal Technical Program Manager, Sequence Models (project Sequoia) in New York, United States. It pays $204k-$275k 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.
- The posting mentions computer vision, NLP and program management among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead execution of large-scale technical programs involving generative AI, machine learning, and customer journey sequence models.
As a Principal Technical Program Manager on the team, you will be at the forefront of innovation, driving program execution on this highly ambiguous, highly impactful initiative across Amazon. You will work across Product, Science, and Engineering to drive this initiative spanning SVP/CEO organizations. You will own the planning, execution, and delivery of this large-scale technical program that spans multiple teams, product organizations, and business stakeholders. You'll work at the intersection of Ads, Stores and Media technology, machine learning, and distributed systems to solve ambiguous problems that shape the future of the company.
Key job responsibilities
- Own end-to-end program management for strategic technology initiatives spanning multiple teams and organizations
- Drive technical strategy and roadmap alignment across engineering, product, science, and business teams
- Lead cross-functional teams through complex technical challenges
- Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability at the SVP and CEO level
- Identify and mitigate technical and operational risks across large-scale distributed systems serving billions of requests daily
- Partner with engineering leaders to influence architecture decisions and ensure scalability, reliability, and performance
- Build and maintain relationships with senior stakeholders across Amazon Ads, Stores, AWS, Media and Stores organizations
- Drive operational excellence through process improvements, automation, and best practices
- Mentor and develop other TPMs across the organization
- Represent this technical program in executive-level reviews and planning sessions
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video https://advertising.amazon.com/help/G4LNN5YWHP6SM9TJ
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry to build scalable modeling and software solutions.
Basic qualifications
- 7+ years of working directly with engineering teams experience
- 7+ years of technical product or program management experience
- 5+ years of software development 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
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.
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.
Pursuant to the San Francisco 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, Palo Alto - 203,500.00 - 275,300.00 USD annually
USA, CA, San Francisco - 203,500.00 - 275,300.00 USD annually
USA, NY, New York - 194,700.00 - 263,400.00 USD annually
USA, WA, SEATTLE - 177,000.00 - 239,400.00 USD annually
How we rate this
Principal Technical Program Manager, Sequence Models (project Sequoia) at Amazon rates 70 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
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where program management 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?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, NLP, Program Management, Cross Functional Leadership, and Distributed Systems. 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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