The AWS Cloud Sales Center (CSC) is a large sales organization generating over $11B in annual pipeline. As the CSC scales, our tool environment has grown faster than our ability to govern, measure, or consolidate it. Sellers are spending too much time navigating tools and not enough time with customers. Leaders lack seamless inspection mechanisms to make decisions with rigor. Promising AI capabilities are being adopted without measurement to prove they work.

We are hiring a Senior Product Manager to own the product vision and roadmap for the CSC's sales technology ecosystem. You will define what our sellers and managers need to move faster, decide what we build versus buy versus deprecate, and measure whether every tool in our environment adds velocity or creates drag. You will own the end-to-end product lifecycle for our inspection mechanisms, ensuring leadership at every level can inspect their business through seamless Salesforce-integrated experiences. You will spend time on the floor with sellers and leaders, sit in listening sessions, and deeply understand the customer problem before defining solutions. Your job is to translate seller and leader pain points into a prioritized product roadmap that gives time back, reduces friction, and ensures every tool earns its place through measurable impact on productivity and revenue.

Key job responsibilities

Driving Efficiency & Effectiveness for the CSC Tool Ecosystem
• Define and own the product vision, strategy, and roadmap for the CSC's sales technology ecosystem, prioritizing investments based on seller impact and business outcomes
• Translate seller and manager pain points into product requirements by mapping workflows end-to-end and identifying where tools create drag rather than lift
• Maintain a current view of the AI/ML market landscape for sales operations, evaluating emerging tools and making recommendations based on fit to CSC seller needs

Customer Discovery & Seller Insights
• Spend time on the floor with sellers and leaders, attend listening sessions, shadow workflows, and deeply understand real day-to-day friction before defining solutions
• Partner with segment leaders to understand role-specific needs across CARs, CSRs, and managers, translating those needs into differentiated product experiences
• Own the voice of the seller in all platform decisions, ensuring product choices reflect actual user needs rather than leadership assumptions

Org Health & Inspection Products
• Own the product definition for inspection mechanisms that integrate seamlessly with Salesforce, enabling leadership at every level to inspect their business with rigor and make informed decisions
• Define the information architecture that serves the full org: senior leadership inspecting org health, managers inspecting pipeline and talent, and sellers inspecting their own productivity
• Partner with sales operations and data teams to ensure products surface the right signals at the right altitude so leaders spend time acting on insights rather than hunting for data

Seller Enablement on AWS Products
• Partner with GTM, marketing, and sales enablement to define the product experience that builds authentic AWS AI/ML product fluency through daily seller use

Structured Pilots & Outcome Measurement
• Design and run structured pilots for new tools, defining success criteria tied to seller productivity metrics including time on selling, pipeline velocity, conversion rates, and administrative time reduced
• Deliver quarterly adoption and ROI reports with clear product decisions: continue, scale, or deprecate
• Own the experimentation framework that ensures every new tool is evaluated against a consistent bar before scaling

Tool Portfolio Management & Governance
• Own a comprehensive inventory of every tool and AI application in the CSC environment, sanctioned and unsanctioned, with visibility into usage, cost, and impact
• Drive portfolio rationalization decisions with data by identifying redundant and underutilized tools, recommending what to scale, sunset, or replace, and tracking outcomes
• Partner with AWS IT, InfoSec, and procurement to ensure tool adoption meets security and compliance requirements while balancing seller and leader needs
• Own the intake process for new tool requests, applying consistent evaluation criteria before tools enter the ecosystem

A day in the life

You start the morning sitting in on a seller listening session with a group of CARs, taking notes on where their workflow breaks down and synthesizing themes into your product backlog. Mid-morning, you review pilot data from a tool that is underperforming against its success criteria and draft a deprecation recommendation with a migration plan for the next leadership review. After lunch, you work with the data team on the next iteration of the manager inspection experience in Salesforce, simplifying the information architecture so managers can review pipeline and talent health in one view instead of three. You end the day on the floor with a frontline manager, observing how she uses the products you have shipped and noting what to prioritize next quarter based on what you see.

BASIC QUALIFICATIONS

- 5+ years of product or program management, product marketing, business development, or operations experience

- Experience defining roadmap strategy and prioritizing deliverables for your team products

- Experience working cross-functionally across several teams both technical and non-technical

- Bachelor's degree or equivalent, or experience with sales CRM tools such as Salesforce or similar software

- Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making

PREFERRED QUALIFICATIONS

- Experience defining product requirements for AI/ML tools in a sales environment including evaluating LLM-based applications and assessing vendor claims against actual user outcomes

- Track record of reducing tool proliferation in a large sales organization through deliberate product portfolio decisions while maintaining or improving seller productivity

- Experience with AWS AI/ML services (Amazon Bedrock, Amazon Q, SageMaker) or comparable cloud AI platforms

- Experience driving product adoption or behavior change across a large (500+) user population

- AWS Cloud Practitioner certification or equivalent cloud literacy

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, TX, Austin - 136,000.00 - 184,100.00 USD annually

USA, VA, Arlington - 136,000.00 - 184,100.00 USD annually

USA, WA, Seattle - 136,000.00 - 184,100.00 USD annually