Level

MongoDB

Customer Success Manager

MongoDB is hiring a Customer Success Manager in Kuala Lumpur, Malaysia. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this customer service role Uses AI ●●○○: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include customer success, account management and data analysis.
  • Level classifies it as a mid-level role.
  • Level lists 382 other open roles at MongoDB.

AI in this role

Manage a portfolio of MongoDB customers to drive adoption and retention while leveraging AI tools to streamline workflows.

customer-successaccount-managementdata-analysismandarin

As a Customer Success Manager, you are the trusted advisor helping a high volume of customers navigate their journey on MongoDB using proactive, scalable engagement strategies initiated by health signals and journey milestones. You’ll be responsible for maximizing customer lifetime value and success for a diverse portfolio of thousands of expanding MongoDB customers, acting as a strategic connector between your customers and providing the right help at the right time to achieve their unique business goals. You’ll drive healthy adoption, customer retention, revenue realization, and advocacy at scale. You will innovate, navigate ambiguity, and build scalable programs and processes to deliver real, measurable impact where your customers need it most.

We are looking for Mandarin speaking who are based in Kuala Lumpur for our hybrid working model.

Key Responsibilities

Customer Advisory

  • Lead and scale effective customer onboarding by leveraging product adoption telemetry to monitor early deployment health, proactively identify and mitigate configuration risks, and guide customers through prescriptive best practices, architectures, and operational strategies that establish a strong technical foundation and accelerate time-to-value and achieve customers’ business outcomes with MongoDB
  • Drive ongoing consumption and value realization through a mix of 1:1 and 1:many engagements (e.g., targeted campaigns, webinars, office hours), using data-driven insights to identify trends, opportunities, and risks across a broad customer portfolio and recommending optimal solutions, features, and adoption paths to achieve customers’ business outcomes with MongoDB

Account & Portfolio Management

  • Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage thousands of customers across various stages of maturity by leveraging 1-to-many methodologies and tools to balance individual customer impact with scalable outcomes that maximize long-term success
  • Track and report progress against key business outcomes, forecast revenue retention and realization to senior leadership for business predictability, and identify new opportunities to expand customer impact, collaborating with presales teams to support growth
  • Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI-driven tools to streamline daily workflows, improve productivity, and optimize customer success outcomes

Internal Collaboration & Customer Advocacy

  • Amplify the voice of the customer within MongoDB, leveraging customer insights to inform MongoDB’s product roadmap and coordinate across Sales, Product, Services, Support, and Training teams to drive customer health, satisfaction, and value realization
  • Connect customers with the right internal resources, while contributing learnings from customer interactions to strengthen team success and maximize customer value. Contribute to the evolution of scalable programs that enhance efficiency, customer satisfaction, and measurable outcomes

What You Will Bring

  • Relevant Experience: 5 to 7+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product
  • Accountability: 3+ years experience being accountable for customer health and revenue realization across a portfolio of accounts. Experience in managing scaled or pooled portfolios utilizing scalable strategies to enhance customer retention is a plus. Familiarity with designing workflows or engagement strategies using AI or automation-driven tools
  • Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes
  • Education: Bachelor’s degree in Computer Science, STEM, or equivalent technical work experience

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.

Req ID- 426384

How we rate this

Customer Success Manager at MongoDB rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  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

Customer SuccessAccount ManagementData AnalysisMandarin

Also common in customer service jobs at this level

Pay

Typical customer service job
$100k

This posting doesn't list pay. Use the typical customer service figure when pay comes up. See customer service jobs

Questions you could be asked

  1. Tell me about a project where customer success was part of your work. What did you do?
  2. Tell me about a project where account management was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where mandarin was part of your work. What did you do?
  5. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

  • List these exact terms on your resume: Customer Success, Account Management, Data Analysis, and Mandarin. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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