Senior Product Manager Tech, Amazon Device Solutions

Description

As a Senior Product Manager - Technical for Amazon Device Solutions (ADS), you will own AI as a durable product surface across Amazon Signage products. You will translate an existing strategic point of view on AI into a roadmap, ship features that move customer outcomes, and become the person Amazon Signage points to when customers and partners ask "what is your AI story."

This role is central to the next phase of the platform. AI features will determine which signage providers are still relevant in three years and which are commoditized. You will be responsible for distinguishing differentiators from table stakes, build the customer-grounded case for what to ship and when, and partner deeply with engineering on the architectural decisions that make an AI-native platform possible. Your success will be measured by adoption of AI features, the customer outcomes they drive, and the durable competitive moat they establish for Amazon Signage.

This role requires a rare combination of AI product depth, customer immersion, and architectural judgment. You will work alongside engineering teams in the US and other countries, GTM specialists, channel partners, and senior leadership to define and deliver an AI product surface that customers buy into and competitors cannot match.

Key job responsibilities

• Own the AI product surface end-to-end - translate the existing AI strategic POV into a 12-18 month roadmap, define which features ship and in what order, and own launch, adoption, and post-launch performance

• Serve as Voice of the Customer for AI by interacting directly with businesses running signage networks, IT decision makers, and channel partners; distinguish stated AI requests from underlying customer outcomes that drive purchase and renewal

• Make crisp build/buy/wait decisions across an accelerating set of AI capabilities, separating durable differentiators from table-stakes features that should be acquired or deferred

• Partner with engineering at the architecture level - participate in design reviews, probe scalability, latency, on-device vs. cloud trade-offs, model selection, and AI-specific failure modes including hallucination, drift, and privacy

• Define API and data requirements for AI features, including how external partners (CMS partners, advertisers, screen owners) integrate with AI capabilities

• Author PR/FAQs, six-pagers, and OP1/OP2 narratives for AI investments; drive senior leadership alignment on AI strategy and resource allocation

• Develop the playbook for AI-native digital signage - define what an AI-native platform looks like and what that means for partners building on top of Amazon Signage

• Establish success metrics that distinguish output (feature adoption) from outcome (customer manageability, audience insight, cost reduction, content effectiveness)

• Coordinate AI feature requirements with internal teams across engineering, design, GTM, and partner channels, both in the US and oversea

• Recruit, mentor, and develop other product managers on the team as the AI product organization grows

A day in the life

Your day begins with a check-in on the latest customer conversations - what enterprise IT teams told the GTM specialists yesterday, what channel partners are asking for, what came in via support escalations. You spend the morning in customer discovery: a live call with a 200-store retail chain piloting audience-aware content, then a working session with a Lab126 engineering team on edge inference latency targets.

After lunch you review a vendor pitch for a new generative content tool, decide it's table-stakes and not worth a build, and walk the team through the reasoning. Mid-afternoon you sit in an architecture review where you push back on a proposed AI orchestration pattern that introduces hallucination risk on customer-facing signage. You end the day drafting a section of the AI six-pager for the OP1 narrative, send it to your manager, and check tomorrow's customer pipeline.

You will gather business and functional requirements from customers. This person owns the overall AI product roadmap and strategy while balancing daily execution of product reviews, customer engagement, demand planning, and more. This person will thrive by working independently with large, cross functional teams inside/outside Amazon. This PMT will enjoy creating clarity and transparency in ambiguous situations, and the end-to-end ownership over product development strategy and execution.

About the team

Team members are enthusiastic, friendly and supportive. As a global team, we work very closely with internal and external teams for small medium business and enterprise solutions. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing, mentorship and high quality work. We're excited to build and launch new solutions from the ground up together as one team.

Basic Qualifications

• Experience contributing to engineering discussions around technology decisions and strategy related to a product

• Bachelor's degree in Engineering, Computer Science, or a related technical field

• 6+ years of technical product or program management experience

• Experience leading product development start to finish, including shipping customer-facing products, with the ability to drive prioritization consensus across business units and serve as an effective liaison between customers and engineering

• Experience writing and publishing technical documents or equivalent

• Experience blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement

• 3+ years shipping AI/ML-powered customer-facing features (computer vision, generative content, recommendation, anomaly detection, agentic workflows, or similar) - features that customers paid for and used, not internal tooling

• Demonstrated technical depth in AI/ML - model selection, on-device vs. cloud inference trade-offs, latency and cost economics of inference, AI-specific failure modes

Preferred Qualifications

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

• Experience in building and driving adoption of new tools

• Master's degree in a quantitative/technical field such as computer science, engineering, statistics

• Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time

• Master's degree or above in engineering, management, or technology, or Master's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field

• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience with PyTorch, JIT compilation, and AOT tracing

• Experience developing, deploying and managing AI products at scale

• Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)

• Experience in B2B / enterprise hardware-software platforms - digital signage, IoT, point-of-sale, kiosk, fleet device management, or adjacent

• Experience with edge AI and on-device inference, particularly on Android-based hardware

• Experience working with engineering teams across multiple time zones, including offshore engineering partners

• Multi-lingual fluency is a plus

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.

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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 .

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