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

Amazon Web Services offers the world’s most comprehensive and broadly adopted cloud platform, trusted by startups and Global 500 customers alike. In this senior product role, you will own the vision, strategy, and end-to-end lifecycle of the Cloud Sales Center CSC sales technology ecosystem, including AI-enabled tools and Salesforce integration, to boost seller productivity and revenue. AWS backs you with a culture that values inclusion, mentorship, and continuous growth, along with a benefits package designed to support health, retirement, work-life balance, and family needs.

Benefits

• Comprehensive health coverage (medical, dental, vision, prescription) plus Basic Life & AD&D insurance and optional supplemental life plans
• Employee Assistance Program, mental health support, Medical Advice Line, and Flexible Spending Accounts
• Adoption and surrogacy reimbursement
• 401(k) with company matching
• Paid time off
• Parental leave

Culture and growth

AWS values diverse experiences and fosters an inclusive culture through active affinity groups and ongoing learning opportunities. Programs such as Conversations on Race and Ethnicity (CORE) and AmazeCon promote belonging and professional development, inviting candidates from varied paths to contribute. You will find robust mentorship and knowledge-sharing resources to support ongoing career growth, alongside a flexible working culture that supports balance between work and home life.

Responsibilities

• Lead the CSC sales technology ecosystem vision, strategy, and roadmap, prioritizing investments by seller impact and business outcomes
• Turn seller and manager pain points into concrete requirements by tracing end-to-end workflows and identifying friction
• Monitor the AI/ML landscape for sales operations, assess new tools, and advise on fit for CSC seller needs
• Engage with sellers and leaders on the floor through listening sessions and workflow shadowing to understand real daily friction
• Collaborate with segment leaders to capture role-specific needs across CARs, CSRs, and managers, translating them into differentiated product experiences
• Represent the seller voice in platform decisions to ensure product choices reflect real user needs
• Define the product for inspection mechanisms that integrate with Salesforce, enabling leadership to inspect business health with rigor
• Design information architecture that serves the whole organization, from executives to managers to individual sellers
• Partner with sales operations and data teams to surface signals at the right altitude so leaders act on insights rather than hunting for data
• Collaborate with GTM, marketing, and sales enablement to shape a product experience that builds practical AWS AI/ML fluency through daily use
• Design and run pilots for new tools with success criteria tied to metrics such as time on selling, pipeline velocity, conversion rates, and reduced administrative time
• Provide quarterly adoption and ROI analyses with clear decisions to continue, scale, or deprecate
• Own the experimentation framework to ensure consistent evaluation before scaling tools
• Maintain a comprehensive inventory of all CSC tools and AI applications, including sanctioned and unsanctioned, with visibility into usage, cost, and impact
• Drive data-driven portfolio rationalization by identifying redundant or underutilized tools and recommending what to scale, sunset, or replace, while tracking outcomes
• Work with AWS IT, InfoSec, and procurement to balance security and compliance with seller and leader needs
• Own the intake process for new tool requests, applying consistent evaluation criteria before adding tools to the ecosystem

Requirements

• 5+ years of product or program management, product marketing, business development, or operations experience
• Experience defining roadmap strategy and prioritizing deliverables for your team’s products
• Experience collaborating across multiple teams, both technical and non-technical
• Bachelor's degree or equivalent, or hands-on experience with sales CRM tools such as Salesforce or similar software
• Experience communicating results to senior leadership or building financial and operational data sets that inform business decisions

Technologies

• Salesforce
• Amazon Bedrock
• Amazon Q
• SageMaker