Jobs
Benefits & Perks
•Equity
•Flexible PTO
•Parental Leave
•Mental Health
•Healthcare
•401(k)
•Equity
•Parental Leave
•Mental Health
•Healthcare
•401k
Required Skills
Data Analysis
Business Strategy
Sales Operations
Excel
Salesforce
We are looking for a seasoned Strategy & Planning professional to help us lead the Customer Success Strategy & Planning function worldwide. You will be responsible for learning the ins and outs of each major MongoDB Sales and Customer Success Business, play a critical role in building relationships with the senior leadership team, developing the team, and drive forward initiatives that will help us unlock sales revenue. The ideal candidate understands what makes a team thrive, has a strong interest in data analysis to tell stories, and thrives in shaping narratives that are conducive to helping our Sales team grow.
Our Strategy and Planning team, part of our broader Sales Operations team, strives to help our field organizations go faster and grow faster. This function acts as business partners to our Senior Leaders. You have an opportunity to embed yourself as the “COO” of the Customer Success business, and your responsibilities will range across a variety of strategic initiatives including analyzing inefficient business rules, piloting new roles / engagement mechanisms, optimizing for obstacles in the sales / csm partnership process, and analyzing sales data to come up with meaningful business insights.
The Opportunity
As the Senior Manager of Strategy and Planning, you will:
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Help drive the analytical rhythm of our business including quarterly business reviews, org deep dives
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Partner with Senior leadership to drive customer, market and segment specific analyses to uncover insight
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Become an expert in business and CS rules
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Conceptualize and pilot new programs to test the effectiveness of various roles / comp plans / engagement mechanisms
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Lead the quarterly and annual business planning for the CS teams
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Collaborate with various business units to drive productivity and headcount scenario analyses
The Ideal Candidate
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Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)
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5+ years of work experience in either Sales Strategy / Consulting / Sales Operations / Analytics
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You have experience supervising direct reports
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Effective communicator who can break down convoluted technical concepts into simple business vernacular
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Strong SQL knowledge with an ability to write SQL queries to extract data needed for analysis is preferred but not required
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You are a spreadsheet wizard with the ability to manipulate and analyze data
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Experience with at least one major business intelligence tool (Tableau, Google Data Studio, Looker)
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You can navigate your way around Salesforce.com with relative ease
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 nearly 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: 426084
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:$147,000—$279,000 USD
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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%
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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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