As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

• This is a high-impact Principal Product Manager
• Tech role within Amazon Connect Decisions team. Amazon Connect Decisions a standalone agentic AI system designed to transform how customers manage supply chain operations. Our vision is to enable AI teammates (or agents) to help companies achieve best-in-class decisioning and planning capabilities. As a 0-to-1 product approaching General Availability, you'll join a startup-like environment building the most robust and agentic SaaS solutions serving external customers in the rapidly growing Supply Chain Planning market.
  As the Principal PMT for Demand Intelligence (DI), you are responsible for the complete product lifecycle and P&L for this critical capability. You'll define the Ideal Customer Profile (ICP) specifically to your use case, collaborate with Go-To-Market teams to identify and win the right customers, and build products that genuinely meet customer needs. This role demands end-to-end ownership spanning use case definition, UX/Planning Hub experience, onboarding/configuration workflows, intelligence tooling, demand intelligence agents, ML forecasting models, adaptive learning systems, success metrics, and pricing strategy. You'll serve as the domain expert with deep knowledge of demand planning, forecasting, demand sensing, demand shaping, rapid response planning, metrics measurement, product lifecycle forecasting (NPI and EOL), demand plan exceptions, sales and operations planning, financial planning, collaborative planning processes. Additionally, you'll bring expertise in agentic AI experiences, understanding how to design autonomous AI agents that collaborate with human planners, enable continuous learning, and deliver intelligent recommendations through conversational interfaces.

Key job responsibilities
1. P&L Ownership: Responsible for the complete P&L responsibility for Demand Intelligence, including revenue targets, pricing strategy, and business case development across customer segments (Basic, Intermediate, and Sophisticated enterprises)
2. Product Vision, Strategy, and Roadmap: Define and champion the product vision while also owning the near-term product launch decisions and strategy. Define and execute the product strategy across five strategic pillars: (1) Accurate Forecasts, (2) Accelerated Time to Forecast Acceptance, (3) Feature Parity for Demand Planning Workflows, (4) Integrated Demand and Supply Planning, and (5) Performance at Scale
3. Customer-Centric Product Development: Lead customer discovery, beta programs, and feedback loops to continuously refine the product. Work backwards from customer needs, translate to actionable product requirements to deliver business outcomes for customers.
4. Agentic AI Innovation: Drive the development of AI-first capabilities including demand planner agents, conversational planning agents, 21+ intelligence tools, and human-in-the-loop (HITL) systems that enable continuous learning and adaptation
5. Cross-Functional Leadership: Partner closely with engineering (SDEs/SDMs), data science, UX, and Go-To-Market teams to deliver on ambitious roadmap commitments. Write detailed Business Requirements Documents (BRDs) and drive execution
6. Market Positioning: Define, refine, and expand ICP segmentation based on technology maturity (not just company size), enabling GTM teams to focus on winnable customers while sequencing product capabilities appropriately
7. Technical Product Excellence: Own complex technical decisions around ML model selection, model ensembling, model optimization metrics, model training frameworks (including SCOT and Chronos Foundation Models), feature engineering, data enrichment, hierarchical forecasting, and system integrations with third-party platforms
8. Success Metrics & Analytics: Define and track key metrics including forecast accuracy improvement (MAPE/WAPE), time to forecast acceptance, feature adoption, customer satisfaction, and business outcomes (inventory optimization, service level improvements)

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture:

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and Amaze Con conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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

• 4+ years of supply chain management, planning, strategic sourcing, commodity management or program management experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, WA, Seattle - 181,100.00 - 245,000.00 USD annually