Senior Product Manager, Deal Intelligence & Automation

Amazon Inc.

San Diego (CA)

On-site

USD 151,000 - 205,000

Full time

12 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Senior Product Manager - Technical to own the product vision for analytics and automation that scale deal workflows globally. You will define products using broad data sets to surface precise insights for deal strategists, pricing leaders, and executives, and partner with engineering on AI-enabled capabilities.

The role requires deep analytical acumen, the ability to prioritize questions, and product judgment to drive fast, rigorous outcomes at scale.

Qualifications

  • Bachelor's degree required.
  • Own/driving road-mapping and strategic direction for products.
  • Deliver features with clear tradeoffs and measurable impact.
  • Engage engineering in architecture and tech strategy discussions.
  • Lead technical product management and online services initiatives.
  • Advocate for diverse customers and executive stakeholders during planning.

Responsibilities

  • Own 3–5 year product vision and roadmap for deal intelligence and automation.
  • Define products using broad data sets to deliver global, actionable insights.
  • Partner with engineering on architectural trade-offs, AI, automation, leverage.
  • Establish metrics, cadences, and experimentation to improve quality and delivery.
  • Align stakeholders and remove obstacles to deliver outcomes.
  • Engage customers and executives to validate direction and evolve the platform.

Skills

Roadmap strategy
Technical product mgmt
Stakeholder management
Data-driven decisions
Cross-functional collaboration

Education

Bachelor's degree

Tools

Tableau
QlikView
QuickSight

Job description

Amazon Web Services, Inc. is seeking a Senior Product Manager - Technical to own the product vision for analytics and automation that scale deal workflows globally. You will define products using broad data sets to surface precise insights for deal strategists, pricing leaders, and executives, and partner with engineering on AI-enabled capabilities.

The role requires deep analytical acumen, the ability to prioritize questions, and product judgment to drive fast, rigorous outcomes at scale.

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