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Senior Product Manager – Technical (PMT), Edge AI & Applied Science

Amazon

Senior Product Manager – Technical (PMT), Edge AI & Applied Science

Amazon

Sunnyvale, CA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$173,900 - $235,200

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Product strategy

Roadmap development

Technical fluency

Prototyping

Cross-functional leadership

The Edge AI & Applied Science organization is redefining what’s possible when advanced AI models are compressed to run efficiently on edge devices. Our mission is to push model compression, optimization, and systems innovation to unprecedented scales—unlocking entirely new classes of low-latency, privacy-preserving, always-available customer experiences.
We are looking for a hands-on Senior Product Manager – Technical (PMT) who thrives at the intersection of product vision, applied science, and building real experiences. This is not a traditional, document-only PM role. In this role, you are expected to personally prototype, experiment, and build early versions of experiences—using vibe coding, lightweight demos, notebooks, scripts, or simple apps—to explore what becomes possible when models are aggressively compressed and deployed on edge hardware.
You will act as both a product owner and an experience builder, shaping strategy not only through roadmaps and narratives, but through working artifacts that inspire teams, accelerate decision-making, and influence technical direction across the organization.

Key job responsibilities
Own the product vision and strategy for edge AI experiences enabled by extreme model compression across vision, language, speech, and multimodal domains.

Personally prototype and build early experience concepts, using vibe coding, scripts, notebooks, and lightweight applications to explore new interaction paradigms made possible by compressed models.
Translate customer needs, technical capabilities, and scientific insights into clear product direction, requirements, and success metrics—grounded in real, working prototypes.
Partner deeply with applied scientists and engineers to evaluate trade-offs across quality, latency, memory, power, and cost, using hands-on experimentation to inform decisions.
Serve as a thought leader and internal evangelist for the new experiences that emerge when models are compressed to unprecedented scales, influencing adjacent teams and partner organizations.
Drive product initiatives end-to-end—from concept and experimentation through development, launch, and iteration—while navigating ambiguity and evolving constraints.
Use prototypes, demos, and experiential artifacts to align stakeholders, secure buy-in, and accelerate execution across science, engineering, UX, and leadership.
Define and own roadmaps that balance near-term customer impact with long-term platform and capability investments.

Identify risks, unblock teams, and proactively course-correct to ensure delivery of high-quality, customer-obsessed outcomes.

Measure product success through data, customer signals, and experiential quality, iterating rapidly based on learnings.

Basic Qualifications

  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
  • 5+ years of experience in product management, technical product leadership, or equivalent roles delivering complex, technical products end-to-end.
  • Proven experience owning product strategy, roadmap definition, and execution in partnership with engineering and science teams.
  • Strong technical fluency with the ability to engage in architecture discussions, performance trade-offs, and system-level decision-making.
  • Demonstrated ability to operate effectively in highly ambiguous environments and drive clarity through action.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

Preferred Qualifications

  • Experience in using analytical tools, such as Tableau, Qlikview, Quick Sight
  • Experience in building and driving adoption of new tools
  • Hands-on experience building or prototyping technical products, including the use of code, notebooks, scripts, or experimental frameworks to explore ideas.
  • Familiarity with machine learning systems, edge AI, model compression, or on-device inference.
  • Comfort with vibe coding and rapid experimentation as a core product discovery and validation tool.
  • Experience influencing direction through working demos and artifacts, not just written documents.

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.

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 - 173,900.00 - 235,200.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0 reports

$187,921

total / year

Base

-

Stock

-

Bonus

-

$159,732

$216,110

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge