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.