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About the role
We're looking for a high-energy, detail-oriented and hands-on individual to join the Revenue Team as a Manager, Revenue Operations. This role will be based in our Palo Alto, CA office and will support the execution and scaling of revenue operations in a high-growth, multi-product environment. This is a highly visible individual contributor role with significant ownership across revenue close, technical accounting, and cross-functional initiatives.
This is a great opportunity to join and grow with a strong accounting team at a high growth, enterprise software company!
The Revenue team is an extremely visible, high-performing team, ultimately responsible for accurate financial reporting of revenue. The team is responsible for managing the monthly close, contract negotiation and documentation, and determining appropriate accounting treatment for our product offerings. Additionally, this team is responsible for designing and maintaining controls over reporting of revenue and assisting in quarterly revenue forecasting activities. This role will report directly to the Senior Manager of Revenue.
We are looking to speak to candidates who are based in Palo Alto for our hybrid working model.
POSITION EXPECTATIONS
Participate in month-end close activities comprising various revenue analyses, booking JEs, account reconciliations and revenue recognition
Analyze sales transactions within the Company’s ERP systems to ensure accuracy of data and integrity of revenue schedules, inclusive of revenue allocations
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Review and validate all revenue streams for appropriate revenue treatments
Review contract write-ups and provide guidance on revenue treatment under ASC 606 and related financial reporting requirements to ensure appropriate revenue recognition
Experience establishing, maintaining, and reviewing standalone selling price ranges and methodologies
Manage the execution of quarterly reviews and year-end financial audits by external auditors
Provide functional oversight to Revenue Analysts, including reviewing work and offering guidance to support growth and development
Assist in the review and delivery of executive-level analytics and revenue disclosures by analyzing complex data sets, identifying trends, anomalies, and underlying drivers, and applying sound judgment to translate findings into actionable insights
Work cross-functionally with key internal business partners, such as OTC and FP&A on ongoing initiatives
Assist with special projects and ad hoc requests as required
QUALIFICATIONS
Bachelor's degree in Accounting (CPA preferred) with at least 8+ years of experience in a similar role at public, high-growth SaaS or technology company
Prior experience with revenue operations, revenue recognition and reconciliation processes including working with sales data, customer contracts and new product offerings
Working knowledge of ASC 606, including application of SaaS and usage-based revenue models.
Proficiency in MS Excel and working with large volumes of data
Knowledge of ERP and CRM systems (NetSuite, Salesforce)
Strong analytical, research, and problem-solving skills
Acute attention to detail and well-developed organization
Excellent time management skills and ability to work in a fast-paced environment
Ability to take ownership of complex revenue areas, influence cross-functional partners, and independently drive projects to completion
Must be self-motivated, flexible and deadline-oriented
Outstanding interpersonal, communication, and business partnering skills with demonstrated ability to work cross functionally at various levels within the company
SUCCESS MEASURES
A successful candidate must have the ability to operate effectively in a fast-moving, global environment as well as have experience and a strong interest in revenue operation processes
In 30 days, a successful candidate will have become familiar with our business, product offerings, and revenue streams
In 3 to 6 months, you’ll have become familiar with our internal systems, operational workflows and accounting close tasks assigned to you and would be performing them independently
In 6 to 9 months, you’ll have established relationships with key business partners such as Billing/OTC, FP&A and would be working directly with them as and when issues arise
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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 3273530477
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: $78,000—$154,000 USD
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
