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 OpportunityAs 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.
We are looking to speak to candidates who are based in New York City, Philadelphia, or Boston for our hybrid working model.
What You’ll Be Doing- Prospect into CTOs, Engineering/IT leaders, and technical end users
- Grow a current base of MongoDB customers by landing new workloads through outbound prospecting
- Manage the full sales cycle for all MongoDB Products & Services
- Develop and execute a strategic territory plan to achieve revenue targets
- Collaborate with the sales ecosystem to drive sales initiatives and partnerships
- Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach
- 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts
- Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units
- A proven track record of overachievement and hitting sales targets
- Ability to articulate the business value of complex enterprise technology
- Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is a plus
- Must live in territory (flexible work model)
- Fluent in English
- Passionate about growing your career in the largest market in software (database)
- Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
- Familiarity with databases, develops and open source technology a plus
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 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: 425698
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 Palo Alto, California, USA Office
499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301
MongoDB San Francisco, California, USA Office
88 Kearny Street, San Francisco, CA, United States, 94108
Similar Jobs at MongoDB
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
