Sr TPM, Perception, Prime Air Vehicle Software
AI in this role
Senior Technical Program Manager leading autonomous perception systems and machine learning algorithms for Prime Air drones.
The Prime Air team is seeking a Sr Technical Program Manager (TPM) with a strong results-oriented focus to own and drive the development of our autonomous perception systems. This role will lead programs that expand our operational envelope into challenging conditions like night operations, adverse weather (rain, snow), and complex environments, while simultaneously driving algorithmic efficiency improvements across our perception stack.
You will work with teams across Seattle and Europe to:
- Drive the technical roadmap for perception capabilities that enable safe autonomous flight in expanding operational conditions
- Lead cross-functional programs to optimize perception algorithms for improved efficiency and reduced computational overhead
- Coordinate integration of new perception capabilities with broader autonomy systems
- Partner with research teams to evaluate and implement computer vision and machine learning approaches
- Drive certification efforts for perception systems in accordance with aviation safety standards
- Manage technical dependencies and alignment across international engineering teams
Key job responsibilities
- Define and manage the end-to-end lifecycle of complex, cross-functional programs, including mission, vision, objectives, success criteria, and resource planning across multiple teams.
- Drive alignment between business and technical stakeholders by facilitating crisp decision-making, setting priorities, and communicating context for technology choices and trade-offs.
- Identify and mitigate risks proactively by analyzing system architectures, understanding dependencies and boundary conditions, and closing gaps in requirements, testing, and cross-team collaboration.
- Establish and maintain program metrics, regularly reviewing data to ensure visibility into progress, surface issues early, and keep initiatives aligned with organizational goals.
- Author and present narratives and program documents to senior leadership, translating complex technical topics into clear recommendations and actionable plans.
About the team
The Perception team is at the heart of Amazon's autonomous drone delivery initiative, developing the advanced computer vision and machine learning systems that enable safe, reliable flight operations. Our team tackles fascinating challenges at the intersection of radar technology, distributed computing, and real-time detection algorithms, creating solutions that have never been built before. We work in an innovative, collaborative environment where every scientists and engineer's contribution directly impacts the future of delivery technology. As we scale Amazon's drone delivery to new locations, you'll help shape both the technical direction and team culture that will define this transformative service for years to come.
Basic qualifications
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams 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
Preferred qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- 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, WA, Seattle - 148,700.00 - 201,200.00 USD annually
How we score this
Sr TPM, Perception, Prime Air Vehicle Software at Amazon scores 70 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.
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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.
- 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 autonomous systems 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?
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- List these exact terms on your resume: Computer Vision, Program Management, Machine Learning, and Autonomous 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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