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.
Because we operate as a leaner, high-growth IT organization, 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. This role offers rare breadth: the ability to shape architecture across domains that larger organizations silo, with direct visibility to executive decision-making.
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.
We're looking to speak with candidates based in Palo Alto for our hybrid working model.
Key Responsibilities
Q2C Strategy & Integration Roadmap
Systems Design & Integration Architecture
Data, AI & Innovation
Governance, Standards & Risk Management
Team Leadership & Evangelism
Qualifications
- 15+ years of progressively responsible experience in information technology, with substantial senior-level experience in Enterprise Architecture and Solution Architecture
- You must have 10+ years of experience designing complex, event-driven integrations using modern middleware, APIs, microservices, and data streaming technologies to connect high-volume usage engines with financial systems
- Deep expertise in usage-based/consumption-based billing platforms. You must have proven experience navigating "buy vs. build" decisions for billing engines and understanding the trade-offs between custom implementations versus vendor solutions
- Expertise in CPQ, Billing, and common go-to-market and finance business processes. Led architecture for large-scale implementations that delivered measurable business outcomes: CRM, Enterprise Data Platforms, Data Lakes, or ERP systems
- Proven success in applying a structured approach to architecting innovative solutions, with a track record of supporting delivery teams through the full SDLC
- Experience implementing or architecting data-intensive applications. Demonstrated experience architecting AI-integrated enterprise systems, including RAG patterns, vector search, and LLM integration with structured data pipelines
- Experience managing vendor evaluations, contract negotiations, and ongoing partner relationships
- Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis, or a related field; MS or advanced degree is preferred
Core Competencies
- Leadership: Leads cross-functional teams through influence, navigates conflict, and drives results without direct authority
- Communication: Translates complex technical concepts for executive and business audiences. Strong written, visual, and presentation skills
- Financial & Analytical: Builds business cases with TCO analysis and ROI projections. Defines measurable success metrics
- Change Management: Drives technology adoption while addressing stakeholder concerns and resistance
- Technical Pragmatism: Cuts through vendor hype. Makes build vs. buy decisions grounded in business value and risk
- Influence Without Authority: Shapes technical direction through credibility and collaboration, not mandate
- Methodologies: Working knowledge of Agile, ITIL, and design thinking practices
Success Measures
- Delivery of high-value Q2C technology use cases that improve operational efficiency and directly contribute to strategic business goals
- Implementation of solutions that adhere to security, scalability, and observability standards, ensuring that cross-system integrations (Product to Cash) meet service quality requirements in production
- Successful deployment of AI-driven capabilities within the quoting or billing process (e.g., reducing manual interventions or billing errors)
- Reduce the time-to-quote and data availability latency for financial reporting through optimized architectural patterns
- Maintain architecture review cadence (bi-weekly) with <5 day SLA on design feedback
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273368199
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:
$177,000—$349,000 USD