Jobs
Benefits & Perks
•Health benefits
•Base salary plus commission
•Sales training
•Team trips
•Healthcare
Required Skills
LinkedIn Sales Navigator
Outreach
Zoom
Get to Know the Sales Team
Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “Think Big and Go Far.”
The Opportunity
As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions.
What You’ll Be Doing
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Prospect into CTOs, Engineering/IT leaders, and technical end users
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Grow a current base of MongoDB customers by landing new workloads through outbound prospecting
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Manage the full sales cycle for all Mongo
DB Products & Services:
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Develop and execute a strategic territory plan to achieve revenue targets
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Collaborate with the sales ecosystem to drive sales initiatives and partnerships
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Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, Zoom Info, Sendoso, and Outreach
What You’ll Bring To The Role
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5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts
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Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units
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A proven track record of overachievement and hitting sales targets
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Ability to articulate the business value of complex enterprise technology
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Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is a plus
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Must live in territory (flexible work model)
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Fluent in English
Things We Love
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Passionate about growing your career in the largest market in software (database)
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Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
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Familiarity with databases, develops and open source technology a plus
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: 425447
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:$135,000—$135,000 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%
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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