Principal Product Manager - AI & Cloud Media Services, AWS Elemental Media Services, Elemental Media Services

AWS Elemental Inference is an AI-powered video understanding service that analyzes live and file-based video in real time, producing structured metadata that drives monetization, content transformation, and audience engagement at scale. The service delivers capabilities including intelligent video reframing, real-time highlight detection, automated subtitling, and contextual metadata for advertising workflows. Our customers today include the world's largest broadcasters, streaming platforms, and sports leagues. The core technology, real-time visual understanding at scale, is applicable to any domain where video carries signal that needs to be extracted and acted on.

We are looking for a Principal Product Manager to own the product strategy, roadmap, and commercial success of Elemental Inference. This is a single-threaded owner role. You will define what we build, why we build it, and how we bring it to market. You will work directly with applied scientists training video foundation models, engineers operating a real-time inference service, and customers running production workloads on it.

This role requires someone who can operate at the intersection of AI/ML product development and commercial execution. You will own the P&L, define pricing and packaging strategy, and drive adoption across a portfolio that spans AI inference, video monetization, and content intelligence. You will make trade-off decisions between expanding into new capabilities and verticals versus deepening quality and reducing cost on what exists today. You will represent Elemental Inference to AWS leadership, cross-org partners, and directly to customers.

Key job responsibilities
- Own the product strategy, roadmap, and P&L for Elemental Inference. Set pricing, define packaging, monitor revenue, and adjust GTM approach based on adoption data and customer feedback.
- Prioritize features based on customer requirements, revenue impact, competitive dynamics, and technical feasibility. Make explicit scope decisions between breadth (new capabilities, new verticals) and depth (quality, latency, cost).
- Partner with the applied science team on model roadmap decisions. Translate customer needs into science requirements and define the bar for production readiness.
- Drive cross-service integration with adjacent Elemental services (monetization, live encoding, VOD processing) to deliver end-to-end intelligent media workflows.
- Lead cross-org initiatives that span multiple AWS organizations, building alignment on joint product development where shared customer problems require coordinated solutions.
- Engage directly with strategic enterprise customers to validate product direction, close design partnerships, and drive adoption of launched features.
- Define and manage the partner ecosystem strategy for data dependencies (sports data providers, content licensing) that enable product capabilities.
- Identify and evaluate expansion opportunities where the core technology creates value in adjacent domains beyond the service's initial market.
- Represent Elemental Inference at industry events and with AWS leadership. Communicate product vision, competitive positioning, and business performance with clarity.

About the team
AWS Elemental provides the most comprehensive portfolio of media services in the cloud, purpose-built to prepare, process, deliver, and monetize video at global scale. We support technology that delivers outstanding viewing experiences to millions of viewers worldwide, from the largest live sporting events to 24/7 linear channels and on-demand libraries. Our customers include the world's leading broadcasters, streaming platforms, and sports leagues.

Basic Qualifications

- 7+ years of working as a Technical Product Manager experience
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

Preferred Qualifications

- Experience in the media, video, streaming, or advertising technology industry
- Experience with real-time inference systems or video processing at scale
- Experience working directly with applied science or machine learning teams on model development decisions

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.

Pursuant to the San Francisco 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, San Francisco - 208,300.00 - 281,800.00 USD annually
USA, OR, Portland - 181,100.00 - 245,000.00 USD annually
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually