Sr. Product Manager - Technical, CS Intel & Analytics, AWS Specialist and Partner Organization
Listed on 2025-12-15
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Senior Product Manager - Technical, CS Intel & Analytics, AWS Specialist and Partner Organization
AWS's Customer Success Center of Excellence (CS COE) believes customer success is a strategic differentiator for AWS and its partners. As part of the CS Intelligence team, you will define and execute the vision for partner-facing customer success tooling, owning strategy, execution, and delivery of key product features that enable partners to drive adoption, measure outcomes, and deliver proactive support at scale.
Key Responsibilities Strategy & Data-Driven Product Development- Develop a multi-year roadmap & drive 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 drive towards 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.
- 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.
- 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.
- 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.
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Basic Qualifications- 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.
- Experience in customer success operations or large‑scale CRM/BI integrations.
- Deep familiarity with AWS data services (Redshift, Athena, Sage Maker) and security/compliance models.
- AWS certifications in…
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