Sr. Product Manager, AI​/Platforms & Tool Operations, Cloud Sales Center

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 seller and manager needs, decide what to build, buy or deprecate, and measure whether every tool adds velocity or creates drag. You will own the end‑to‑end product lifecycle for 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 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.

• 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.

• 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.

• 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 organization: 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 appropriate elevation so leaders spend time acting on insights rather than hunting for data.

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

• 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.

• Own an 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, Info Sec, and procurement to ensure tool adoption meets security and compliance requirements while balancing seller and leader needs.
• Own the intake process for new tool…