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

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Amazon Web Services (AWS)
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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

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 define and execute the vision for partner‑facing customer success tooling. You will own the strategy, execution, and delivery of key product features that enable partners to drive adoption, measure outcomes, and deliver proactive support s 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 redefine 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.

Key

job responsibilities
  • Develop a multi‑year roadmap & prioritize 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 drive toward Customer Success outcomes.
  • Build continuous‑improvement mechanisms and usability studies; synthesize feedback to iterate on features, optimize workflows, drive tool adoption, and inform the long‑term product roadmap.
Execution & Delivery
  • 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 driving corrective roadmaps.
Stakeholder Collaboration & Communication
  • 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 frequently 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.
We're Looking For People That Have
  • Experience building 0 to 1 products.
  • Experience working across matrixed teams at senior levels to deliver results.
  • A strong technical background with understanding of a wide variety of sales‑focused tools (Salesforce, Quick Sight, etc.).
  • Experience with data modeling, visualization, and business intelligence tools.
About The Team

Diverse Experiences – AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage…

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