Enterprise Account Executive, Acquisition

MongoDB
Singapore, SG
On-site

Who this role is best for

Aimed at mid-level sales professionals with 10+ years of quota-carrying experience who thrive in competitive markets and can articulate complex enterprise technology value.

Best fit for

  • Thai-native speakers with fluency in English and a track record of overachievement in sales.
    — “Thai native and fluent in English
  • Sales professionals skilled in building business champions and expanding new accounts.
    — “Skilled in building business champions
  • Individuals with previous sales methodology training and familiarity with databases.
    — “Previous Sales Methodology training

Things to consider

  • Hybrid work model requires office attendance 3 days per week.
    — “Ability to attend the office 3 days per week
  • Role demands a complex sales process and strategic prospecting into CTOs and IT leaders.
    — “run a complex sales process

How to stand out

  • Highlight specific instances where you exceeded sales targets in competitive markets.
    — “A proven track record of overachievement and hitting sales targets
  • Demonstrate ability to sell into new lines of business within existing accounts.
    — “sell into new lines of business within open accounts
  • Showcase partnerships with technical teams to achieve customer satisfaction.
    — “Partner with our Solution Architects
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • identify, qualify and close a sales pipeline
  • build strong and effective relationships
  • achieve customer satisfaction
Typical background
10+ years field experience of quota-carrying experienceproven track record of overachievement

Skills & requirements

Required

Sales StrategyProspectingRelationship BuildingTechnical SellingCustomer Satisfaction

Preferred

Sales Methodology TrainingDatabase And Open Source Technology Knowledge

About the role

Original posting from MongoDB

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing business within existing accounts. The Senior Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth.

We are looking to speak to candidates who are based in Singapore for our hybrid working model.

What you will be doing

Proactively, identify, qualify and close a sales pipeline

Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users.

Build strong and effective relationships, resulting in growth opportunities

Partner with our Solution Architects and work closely with the Professional Services and Customer Success team to achieve customer satisfaction

Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes

Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

What you bring to the table

10+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on expanding new accounts. 

Demonstrated ability to sell into new lines of business within open accounts and run a complex sales process 

A proven track record of overachievement and hitting sales targets

Ability to articulate the business value of complex enterprise technology

Skilled in building business champions

Thai native and fluent in English

Ability to attend the office 3 days per week

Driven and competitive. Possess a strong desire to be successful

Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)

Familiarity with databases, develops and open source technology a plus

Why join now

MongoDB invests a HUGE amount of development into each of our new hires & continuous career development

Accelerators up to 30%

Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs

New hire stock equity (RSUs) and employee stock purchase plan

Generous and competitive benefits (parental leave, fertility & wellbeing support)

Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB

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

1273413552

Source: MongoDB careers

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