As the Cloud Support Team Lead, you will
Lead and mentor a small, distributed team as a hands-on technical player-coach
Spend approximately 50% of your time directly supporting customer issues, complex cases, escalations, and technical investigations.
Own frontline service quality by monitoring queue health, case and chat aging, diagnostic quality, staffing coverage, and workload allocation
Lead high-visibility customer escalations and incidents, coordinating Engineering, Product, Support Operations, and other stakeholders
Turn recurring customer problems and support trends into product feedback, process improvements, training, and reusable technical content
Create and maintain SOPs, knowledge articles, training materials, and retrospectives that improve team capability and consistency
Represent Technical Services in cross-functional and cross-region programs, driving execution through influence
Who You Are
You are a calm, empathetic technical leader who earns trust with customers, engineers, and cross-functional partners
You are comfortable leading through influence, ambiguity, and incomplete information
You use data to identify risks, prioritize work, and allocate team capacity
You balance hands-on customer support with coaching, quality management, and continuous improvement
What you need
The ideal candidate will have experience in most of the following areas:
Supporting customers through cases, chats, calls, and high-severity escalations. Preferred experience with running high-severity incidents and follow-the-sun procedures
Leading or mentoring a small team of highly technical support engineers
Strong troubleshooting experience with MongoDB Atlas or comparable cloud database platforms, including cloud infrastructure, Linux, networking, security, storage, and performance
A disciplined diagnostic process covering investigation, customer communication, escalation judgment, and root-cause analysis. Experience leveraging AI tools to broaden, improve and accelerate technical diagnostic processes preferred
Coordinating customer-impacting incidents and internal technical responders
Improving support operations through queue analysis, workload allocation, staffing coverage, training, and process improvement
Strong communication and collaboration skills across Engineering, Product, Security, Legal, Billing, Support Operations, and global Technical Services
Nice to Have
Experience with Cloud Manager, Compass, or large-scale relational or NoSQL databases
Experience managing FIN(Intercom), chat-support, case-management, or similar customer-support workflows
Experience leading incident reviews, RCAs, operational audits, or security/compliance improvements
Experience creating technical training, LMS content, knowledge programs, or enablement assessments
BONUS: Experience with DevOps, infrastructure-as-code, observability, automation, or scripting
Success Measures
First 3 months: Build relationships, understand team operations and customer demand, and begin contributing to complex escalations. Learn the Atlas product and master most common customer use cases
By 6 months: Independently lead escalations, establish recurring queue and quality reviews, improve coverage, and deliver at least one durable process or enablement improvement. Acquire Atlas Administrator certification
By 12 months: Demonstrate measurable improvement in service quality, escalation execution, team capability, coverage, and cross-functional delivery while remaining hands-on technically
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 AI-native startups and approximately 75% of the Fortune 100, 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: 3273573572
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
MongoDB’s base salary range for this role in Canada is
$137,000—$189,000 CAD
