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Jobs/Palo Alto/Senior Staff Enterprise Architect, Q2C & Monetization
Palo Alto, CA

Senior Staff Enterprise Architect, Q2C & Monetization

We are seeking a Senior Staff Enterprise Architect, Q2C & Monetization to drive the strategy, technical design, and modernization of our Quote-to-Revenue processes. This is a high-impact, hybrid role operating at the intersection of Enterprise Architecture strategy and pragmatic Solution Architecture execution.

Company
Mongodb
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

We are seeking a Senior Staff Enterprise Architect, Q2C & Monetization to drive the strategy, technical design, and modernization of our Quote-to-Revenue processes. This is a high-impact, hybrid role operating at the intersection of Enterprise Architecture strategy and pragmatic Solution Architecture execution. Responsibilities: - Q2C Strategy & Integration Roadmap - Define and execute the architecture strategy for consumption-based business models. You will lead critical decisions on whether to leverage custom-built billing solutions (leveraging MongoDB) or vendor platforms, ensuring the solution can handle high-volume usage metering and complex pricing logic - Define the integration strategy that binds the Q2C landscape. You will determine how "First Party" (internal product/usage data) and "Third Party" (CRM, CPQ, ERP) systems interoperate, moving us toward real-time data availability for Finance and Sales - Analyze cross-functional business processes to recommend new approaches via technology enablement, investigating operational requirements to seek effective solutions through automated and non-automated components - Systems Design & Integration Architecture - Design robust integration patterns (REST APIs, Event-Driven/Streaming, SOA) to decouple systems while ensuring data consistency. You will architect the flow of usage data from the MongoDB product platform into the billing engine and downstream to the General Ledger Requirements: - Systems Design & Integration Architecture - Design robust integration patterns (REST APIs, Event-Driven/Streaming, SOA) to decouple systems while ensuring data consistency. You will architect the flow of usage data from the MongoDB product platform into the billing engine and downstream to the General Ledger - Specify and design solutions across the Q2C landscape (CRM, CPQ, ERP). You will contribute to solution scoping, effort sizing, and strictly translate IT solutions into technical delivery consistent with standards - Define data ingestion and integration architectures that reduce availability latency. You will specify patterns (e.g., CDC, batch vs. real-time) that balance performance with cost, ensuring billing data is accurate and timely - Data, AI & Innovation - Define the AI architecture strategy for the revenue cycle, establishing the data foundations (golden records, vector search, RAG patterns) required before AI can deliver value. Own the roadmap for deploying AI capabilities β€” such as anomaly detection in billing, intelligent quoting assistants, and deal scoring β€” with clear sequencing from foundational data quality through to production deployment Company context: MongoDB is the public document database company powering modern applications across cloud, on-prem, and edge.

Responsibilities

Day-to-day expectations

Mongodb lists these responsibilities for the Senior Staff Enterprise Architect, Q2C & Monetization role.

  • Q2C Strategy & Integration Roadmap
  • Define and execute the architecture strategy for consumption-based business models. You will lead critical decisions on whether to leverage custom-built billing solutions (leveraging MongoDB) or vendor platforms, ensuring the solution can handle high-volume usage metering and complex pricing logic
  • Define the integration strategy that binds the Q2C landscape. You will determine how "First Party" (internal product/usage data) and "Third Party" (CRM, CPQ, ERP) systems interoperate, moving us toward real-time data availability for Finance and Sales
  • Analyze cross-functional business processes to recommend new approaches via technology enablement, investigating operational requirements to seek effective solutions through automated and non-automated components
  • Systems Design & Integration Architecture
  • Design robust integration patterns (REST APIs, Event-Driven/Streaming, SOA) to decouple systems while ensuring data consistency. You will architect the flow of usage data from the MongoDB product platform into the billing engine and downstream to the General Ledger
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Systems Design & Integration Architecture
  • Design robust integration patterns (REST APIs, Event-Driven/Streaming, SOA) to decouple systems while ensuring data consistency. You will architect the flow of usage data from the MongoDB product platform into the billing engine and downstream to the General Ledger
  • Specify and design solutions across the Q2C landscape (CRM, CPQ, ERP). You will contribute to solution scoping, effort sizing, and strictly translate IT solutions into technical delivery consistent with standards
  • Define data ingestion and integration architectures that reduce availability latency. You will specify patterns (e.g., CDC, batch vs. real-time) that balance performance with cost, ensuring billing data is accurate and timely
  • Data, AI & Innovation
  • Define the AI architecture strategy for the revenue cycle, establishing the data foundations (golden records, vector search, RAG patterns) required before AI can deliver value. Own the roadmap for deploying AI capabilities β€” such as anomaly detection in billing, intelligent quoting assistants, and deal scoring β€” with clear sequencing from foundational data quality through to production deployment
UpJobz market context

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Next step

Apply through the employer source

Open the source listing from mongodb.com, confirm the role is still active, then apply on the employer or ATS page.

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Source: mongodb.com Β· Source ID: 7643999 Β· Confidence: 90/100 Β· Last checked: May 7, 2026

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