Level

MongoDB

Engagement Manager

MongoDB is hiring an Engagement Manager in Seoul, South Korea. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions sales, professional services and consulting among its tools and skills.
  • Level classes it as a mid-level role.
  • MongoDB has 382 other open roles on Level.

AI in this role

Drive professional services sales and scope technical projects to accelerate customer adoption of MongoDB.

salesprofessional-servicesconsultingengagement-managementcloud

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

About the role 

MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers.

As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales.

Here are a few informative blogs about the Engagement Management role:

What you will be doing

  • Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies
  • Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of work
  • Partner with a best-in-class sales organization and work effectively as a part of a larger team to develop account strategies and plans for the successful adoption, growth, and utilization of MongoDB
  • Have a solid sense of ownership, driving all deals or technical scopings from inception to closure
  • Manage the Professional Services pipeline for bookings and revenue forecasts for your region
  • Expertly articulate the business value of professional services, talking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and mitigating risks
  • Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.)
  • Work with the delivery team to transition any agreed upon project scope and customer expectations to ensure successful project delivery
  • Proactively seek opportunities to support and mentor other team members and share best practices
  • Have situational awareness and react appropriately in group settings

An Ideal candidate will have

  • A Bachelor’s degree in Computer Science, Mathematics, Engineering or equivalent professional experience
  • A minimum of 5 years experience in the sale of Professional Services and/or technology solutions at an enterprise software company
  • Experience as an architect, consultant, project manager, or Professional Services manager
  • Experience internally positioning and selling professional services
  • Experience carrying a quota for PS bookings
  • General knowledge of databases (e.g. RDBMS, SQL, NoSQL)
  • Experience and knowledge of the software development lifecycle and associated development methodologies (e.g. Agile, Waterfall)
  • Knowledge of software architecture including both cloud and on-premise technologies (e.g. AWS, GCP, Kubernetes, Openshift)
  • The ability to collaborate as a part of a larger account team to build and execute complex account strategies and sales plays
  • An ability to scope and estimate projects
  • Strong presentation skills: Showing the value, capabilities, and differentiators of complex service solutions using methodologies and service offerings
  • Ability to travel for key engagements and team offsites

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 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 is an equal opportunities employer.

Requisition ID 1273423541

How we rate this

Engagement Manager at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SalesProfessional ServicesConsultingEngagement ManagementCloud

Questions you could be asked

  1. Tell me about a project where sales was part of your work. What did you do?
  2. Tell me about a project where professional services was part of your work. What did you do?
  3. Tell me about a project where consulting was part of your work. What did you do?
  4. Tell me about a project where engagement management was part of your work. What did you do?
  5. Tell me about a project where cloud was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Sales, Professional Services, Consulting, Engagement Management, and Cloud. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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