Sr. Product Manager - Technical, CS Intel & Analytics, AWS Specialist and Partner Organization

Amazon•Sunnyvale, CA

About The Position

The Customer Success Center of Excellence (CS COE) believes customer success is a strategic differentiator for AWS and our partners – we drive adoption, maximize value, and scale innovation so customers don’t just use AWS services but achieve measurable and sustained business impact. The CS Intelligence team within the CS COE helps bring this vision to life by enabling customer success teams to drive customer value realization through simplified tooling, agentic workflows, and data analysis. As a Sr. Product Manager - Technical on the CS Intelligence team, you will be responsible for defining and executing the vision for partner-facing customer success tooling. You will own strategy, execution, and delivery of key product features that enable partners to drive adoption, measure outcomes, and deliver proactive support at scale. This product will support a net new partner program launching in 2026 and is an opportunity to build your product vision from the ground up. You will collaborate closely with AWS engineering, data science, UX, and operations teams to re-define the AWS selling process and drive end-to-end product delivery. You will need a unique blend of deep technical expertise and strong business acumen to create an integrated tooling environment that drives operational efficiency and delivers actionable insights across the customer success organization, other AWS teams, and AWS Partners. This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Requirements

5+ years of product management experience
Proven success defining and delivering strategic, cross-organizational initiatives
Strong business acumen; experience creating business cases, ROI, and value realization
Bachelor’s degree in Computer Science, Engineering, Business, or a related field
Experience building and effectively executing a strategy from the ground up, including designing roadmaps to drive incremental progress towards long-term vision and goals
Experience working across functional teams and senior stakeholders

Nice To Haves

Experience building 0 to 1 products
Experience working across matrixed teams at senior levels to deliver results
A strong technical background with understanding of wide variety of sales focused tools (Salesforce, QuickSight, etc.)
Experience with data modeling, visualization, and business intelligence tools
Experience in customer success operations or large-scale CRM/BI integrations
Deep familiarity with AWS data services (Redshift, Athena, Sagemaker) and security/compliance models
AWS certifications in Data Analytics, Machine Learning, or Solutions Architecture

Responsibilities

Developing a multi-year roadmap & driving prioritization to define and evangelize a product vision that aligns with AWS global objectives. Establish and apply prioritization frameworks (e.g., RICE, weighted scoring) to balance near-term delivery with long-term strategic bets.
Lead discovery and gap analysis with cross-functional senior leaders to integrate data frameworks, sales artifacts, and automation and intelligence that drives towards Customer Success outcomes.
Builds Continuous Improvement mechanisms and usability studies; synthesize feedback to iterate on features, optimize workflows, drive tool adoption, and inform the long-term product roadmap.
Own delivery of complex platform capabilities (e.g., unified data models, ML-powered risk scoring, self-service analytics) by writing clear Business Requirement Documents, PRFAQs, user stories, and acceptance criteria.
Define and scale best practices for agile delivery, risk management, and release governance. Manage roadmaps and sprints with matrixed teams, tracking dependencies, risks, and go/no-go decisions to ensure timely feature releases.
Focus on quality, scalability & adoption while partnering with engineering and data science to set performance benchmarks.
Oversee post-launch analysis by conducting A/B experiments at scale, surfacing adoption gaps, and drive corrective roadmaps.
Manage cross-functional stakeholders and collaborate effectively with leaders in engineering, business intelligence, data science, and operations to translate customer needs into technical solutions; negotiate trade-offs and scope adjustments.
Lead Voice of the Customer to engage directly with internal users (Customer Success roles, partner teams) via interviews, focus groups, and support ticket reviews to capture requirements and validate prototypes.
Communicate effectively and often on status & change management with respect to progress, risks, and results through well written briefings, strategy docs, tooling demos, and stakeholder reviews; author launch playbooks, training materials, and release notes to drive smooth adoption.