Senior Staff Enterprise Architect, Q2c & Monetization

MongoDB

Palo Alto, California, United States
On-site
Enterprise architecture strategy
Solution architecture execution
Consumption-based business models
This role requires a leader who can define the "big picture" strategy but also actively lead technical design and partner with delivery teams to unblock implementation

Job Summary

  • This role requires a leader who can define the "big picture" strategy but also actively lead technical design and partner with delivery teams to unblock implementation.
  • You will own the architecture for our monetization platforms, enabling scale for "MongoDB 3.0" by minimizing manual intervention and designing tools for continuous improvement.
  • A critical component of this role involves Q2C and Financial transformation: You will be responsible for navigating the complex "buy vs. build" landscape of billing engines—specifically focusing on usage-based and consumption modeling—while ensuring our architecture acts as a catalyst for AI-driven business transformation.

Matching Summary

This role requires a leader who can define the "big picture" strategy but also actively lead technical design and partner with delivery teams to unblock implementation.

Skills & Requirements

Must-have

  • Enterprise Architecture strategy
  • Solution Architecture execution
  • consumption-based business models
  • usage-based billing platforms
  • event-driven integrations
  • AI architecture strategy

Nice-to-have

  • leader who can define the 'big picture'
  • partner with delivery teams
  • minimize manual intervention
  • shape architecture across domains
  • direct visibility to executive decision-making
  • AI-driven business transformation

Key Requirements

  • 15+ years of experience in IT
  • 10+ years of experience designing complex integrations
  • Deep expertise in usage-based/consumption-based billing platforms
  • Expertise in CPQ, Billing, and go-to-market/finance processes
  • Proven success in architecting innovative solutions
  • Experience architecting AI-integrated enterprise systems
  • Bachelor's degree in computer science or related field

Work Rights

Not specified

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