Role at a glance
- Job function
-
Product, Strategy & Operations Product Management & Product Ownership
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Education
- Master's
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Qualifications
Required
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 8+ years of product management experience, with significant time in pricing, billing, or commercial product roles at a cloud, SaaS, or enterprise software company
Preferred
- MBA or equivalent analytical depth demonstrated through work product
- Understanding of enterprise AI buying dynamics: multi-vendor hedging strategies, DSI investment frameworks, build-vs-buy tradeoffs at the model and silicon layers
- Experience in SaaS enterprise go-to-market — including channel economics, reseller discount frameworks, GSI co-sell structures, and EDP bundling
- Experience designing AI or API consumption pricing models: token-based, credit-based, outcome-based, or hybrid seat-plus-consumption structures
- Familiarity with AWS billing and pricing systems: AWS Billing and Cost Management, Deal Management Console (DMC), Deals Desk processes, and private pricing agreement (PPA) mechanics
About the role
Original posting provided by amazon
Amazon Quick is redefining how people work. It combines agentic AI, intelligent automation, and enterprise collaboration into a single productivity platform. Quick is the first enterprise SaaS product AWS has built that competes directly across multiple market segments - enterprise productivity, data and analytics solutions, AI native solutions. That places it in many commercial motions AWS has never run before especially for a managed AI service: seat-based subscription pricing, tiered discounts, promotional mechanics, private deals, and a channel ecosystem spanning direct sellers, account teams, GSIs, resellers, and ISV partners who are themselves built on AWS.
We are at an inflection point. Quick has early enterprise traction, strong product velocity, and a pricing and billing infrastructure that must scale with it. The person in this role owns that infrastructure — not just as a compliance function, but as a growth lever.
You will own the full commercial engine for Quick: pricing architecture, consumption-based billing models, private pricing strategy, promotional and discount frameworks, and deal enablement across a complex multi-party go-to-market. You will partner directly with AWS Billing IT and Ops teams, deals desks, strategic contracting teams and finance to build automated systems that accelerate the deal cycle and reduce operational friction. You will also partner with other product leaders across agentic AI services to develop common pricing frameworks.
Key job responsibilities
Own Quick's pricing and billing roadmap: list pricing, volume discounts, promotional mechanics, and private pricing constructs (EDP integrations, custom commit deals, partner-tier structures).
Partner with AWS Billing IT to build scalable pricing models operationalized across sales, partner, and GTM motions.
Serve as Quick's Deals Desk subject matter expert. Act as service-level approver for private deals and author 5Q/PRFAQ artifacts for new pricing capabilities.
Design Quick's AI consumption billing model: metering units (tokens, credits, actions), rate structures, and overage mechanics.
Build and ship automated billing workflows from deal intake through entitlement provisioning to invoice generation, with AWS BillGeneration and Billing Product teams.
Define partner pricing tiers, discount frameworks, and margin guardrails across Quick's channel: direct sellers, account teams, GSIs, resellers, and ISV partners.
Build pricing constructs that handle multi-year committed spend and flexible consumption as enterprises hedge across model families, silicon providers, and managed services.
Extend pricing innovations from Quick to other AWS AI services.
Write business narratives, competitive pricing analyses, and P&L models for AWS senior leadership.
Define success metrics, instrument billing features, and iterate pricing strategy from observed customer behavior.
A day in the life
You start the morning reviewing the deal queue — a mix of new private pricing requests and deals approaching approval deadlines. You review strategy paper on a EDP deal that bundles Quick with some AWS services. Mid-morning, you're in a working session with AWS Billing engineering, reviewing the metering spec for Quick's token-credit abstraction layer. After lunch, you write the PRFAQ for a new promotional construct targeting ISV partners which is to be reviewed by AWS VP+ audience in a week. You close the day in a deep dive with finance, modeling three scenarios for Quick's FY28 cost structures
About the team
The Amazon Quick product team sits inside AWS and owns the full product lifecycle — from roadmap to GTM to commercial strategy. We work at the intersection of enterprise software, agentic AI, and AWS infrastructure economics. This is a small, high-caliber team with direct access to AWS senior leadership and a mandate to move fast. Billing and pricing is a first-class product discipline on this team, not a finance handoff.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 8+ years of product management experience, with significant time in pricing, billing, or commercial product roles at a cloud, SaaS, or enterprise software company
- Understanding of enterprise AI buying dynamics: multi-vendor hedging strategies, DSI investment frameworks, build-vs-buy tradeoffs at the model and silicon layers
- Experience in SaaS enterprise go-to-market — including channel economics, reseller discount frameworks, GSI co-sell structures, and EDP bundling
- Experience designing AI or API consumption pricing models: token-based, credit-based, outcome-based, or hybrid seat-plus-consumption structures
- Familiarity with AWS billing and pricing systems: AWS Billing and Cost Management, Deal Management Console (DMC), Deals Desk processes, and private pricing agreement (PPA) mechanics
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.
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually
We are at an inflection point. Quick has early enterprise traction, strong product velocity, and a pricing and billing infrastructure that must scale with it. The person in this role owns that infrastructure — not just as a compliance function, but as a growth lever.
You will own the full commercial engine for Quick: pricing architecture, consumption-based billing models, private pricing strategy, promotional and discount frameworks, and deal enablement across a complex multi-party go-to-market. You will partner directly with AWS Billing IT and Ops teams, deals desks, strategic contracting teams and finance to build automated systems that accelerate the deal cycle and reduce operational friction. You will also partner with other product leaders across agentic AI services to develop common pricing frameworks.
Key job responsibilities
Own Quick's pricing and billing roadmap: list pricing, volume discounts, promotional mechanics, and private pricing constructs (EDP integrations, custom commit deals, partner-tier structures).
Partner with AWS Billing IT to build scalable pricing models operationalized across sales, partner, and GTM motions.
Serve as Quick's Deals Desk subject matter expert. Act as service-level approver for private deals and author 5Q/PRFAQ artifacts for new pricing capabilities.
Design Quick's AI consumption billing model: metering units (tokens, credits, actions), rate structures, and overage mechanics.
Build and ship automated billing workflows from deal intake through entitlement provisioning to invoice generation, with AWS BillGeneration and Billing Product teams.
Define partner pricing tiers, discount frameworks, and margin guardrails across Quick's channel: direct sellers, account teams, GSIs, resellers, and ISV partners.
Build pricing constructs that handle multi-year committed spend and flexible consumption as enterprises hedge across model families, silicon providers, and managed services.
Extend pricing innovations from Quick to other AWS AI services.
Write business narratives, competitive pricing analyses, and P&L models for AWS senior leadership.
Define success metrics, instrument billing features, and iterate pricing strategy from observed customer behavior.
A day in the life
You start the morning reviewing the deal queue — a mix of new private pricing requests and deals approaching approval deadlines. You review strategy paper on a EDP deal that bundles Quick with some AWS services. Mid-morning, you're in a working session with AWS Billing engineering, reviewing the metering spec for Quick's token-credit abstraction layer. After lunch, you write the PRFAQ for a new promotional construct targeting ISV partners which is to be reviewed by AWS VP+ audience in a week. You close the day in a deep dive with finance, modeling three scenarios for Quick's FY28 cost structures
About the team
The Amazon Quick product team sits inside AWS and owns the full product lifecycle — from roadmap to GTM to commercial strategy. We work at the intersection of enterprise software, agentic AI, and AWS infrastructure economics. This is a small, high-caliber team with direct access to AWS senior leadership and a mandate to move fast. Billing and pricing is a first-class product discipline on this team, not a finance handoff.
Basic Qualifications
- 5+ years of technical (software development, network development, IT, other related) experience- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 8+ years of product management experience, with significant time in pricing, billing, or commercial product roles at a cloud, SaaS, or enterprise software company
Preferred Qualifications
- MBA or equivalent analytical depth demonstrated through work product- Understanding of enterprise AI buying dynamics: multi-vendor hedging strategies, DSI investment frameworks, build-vs-buy tradeoffs at the model and silicon layers
- Experience in SaaS enterprise go-to-market — including channel economics, reseller discount frameworks, GSI co-sell structures, and EDP bundling
- Experience designing AI or API consumption pricing models: token-based, credit-based, outcome-based, or hybrid seat-plus-consumption structures
- Familiarity with AWS billing and pricing systems: AWS Billing and Cost Management, Deal Management Console (DMC), Deals Desk processes, and private pricing agreement (PPA) mechanics
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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.