Jobs
Benefits & Perks
•Parental Leave
•Fertility Assistance
•Parental Leave
Required Skills
Financial planning and analysis
Financial modeling
Data analysis
Communication
Problem-solving
MongoDB is seeking a highly motivated and analytical FP&A Manager to lead the financial planning and analysis function for our Asia Pacific and Japan (APJ) region. This critical role will report directly to the Senior Director of International Sales and GTM FP&A and will partner closely with the APJ regional leadership team to drive strategic decision-making, improve financial performance, and ensure rigorous fiscal discipline across all regional operations. The successful candidate will be a proactive, hands-on leader capable of managing complex financial models, communicating clear insights, and supporting a high-growth business environment.
We are looking to speak to candidates who are based in Singapore for our hybrid working model.
Key Responsibilities:
Financial Planning and Analysis
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Lead the comprehensive financial planning processes for the APJ region, including the annual plan, quarterly forecasts, and other key analyses.
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Develop and maintain sophisticated financial models to support forecasting, scenario analysis, and business case development.
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Manage the monthly and quarterly financial reporting processes, providing accurate, timely, and insightful analysis of regional performance versus budget, forecast, and prior periods.
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Monitor key performance indicators (KPIs) and operational metrics, highlighting trends and analyzing causes of unexpected variances.
Business Partnership and Strategic Support
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Serve as a key finance partner to the APJ Sales leadership team and other functional leaders (e.g., sales operations, corporate finance, etc).
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Provide financial expertise and decision support for strategic initiatives, sales coverage, and other investment proposals.
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Drive efficiency and productivity by analyzing cost structures and identifying opportunities for optimization across the region.
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Support the implementation and tracking of regional sales commissions and incentive programs.
Reporting and Process Improvement
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Prepare detailed management presentations for executive review, board meetings, and investor updates, focused on APJ financial results and outlook.
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Ensure consistency and accuracy in regional financial data and reporting across various systems.
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Identify opportunities for process improvement, automation, and standardization within the FP&A function and across the region's financial operations.
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Collaborate with the Global FP&A team and corporate accounting on closing activities and ensuring compliance with financial policies.
What You'll Need:
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Bachelor’s Degree; finance, business or economics preferred, CPA/CA/MBA a plus
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Experience in FP&A, and/or superior analytical, critical thinking, and quantitative skills
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Track record of supporting a multi-country/regional business within the Asia Pacific and/or Japan region.
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Strong working knowledge of major financial planning and other software (e.g., Adaptive Planning, Net Suite, Google Suite, Pigment or similar).
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Exceptional analytical and problem-solving skills, with the ability to synthesize complex information into clear, actionable insights.
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Excellent communication and presentation skills, capable of conveying financial information effectively to both finance and non-finance stakeholders.
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Proven ability to manage multiple priorities, meet tight deadlines, and thrive in a fast-paced, demanding environment.
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 is an equal opportunities employer.
Requisition ID
1273366794
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About MongoDB

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
Employees
New York
Headquarters
$24.0B
Valuation
Reviews
3.7
2 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
3.0
Career
2.5
Management
3.5
25%
Recommend to a Friend
Pros
Practical experience with Node.js and MongoDB
Learning NoSQL database management
Web scraping experience
Cons
Poor application performance (5+ second response times)
Difficult job market with low interview rates
Unpaid internship opportunities
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
L6
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$137,500
total / year
Base
-
Stock
-
Bonus
-
$116,875
$158,125
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round/Onsite
5
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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