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

Amazon • Sunnyvale, CA

1d

About The Position

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.

Requirements

• 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).

Nice To Haves

• Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
• 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.

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level