Level

MongoDB

Lead, Technical Services

MongoDB is hiring a Lead, Technical Services in Toronto, Canada. It pays CAD 137k-CAD 189k a year and 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.
  • Tools and skills the posting cites include Atlas, technical support and leadership.
  • Level classifies it as a lead role.
  • Level lists 382 other open roles at MongoDB.

AI in this role

Leads a technical support team resolving complex MongoDB deployments, customer escalations, and infrastructure incidents.

atlas
technical-supportleadershipcloud-computingincident-management

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager, and Compass. Join our team and be at the forefront of innovation and creativity as we scale cloud deployments for our customers.

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

Life in MongoDB Technical Services

As part of the Support organization, you will be directly interfacing with our largest customers and their most difficult problems. There will almost certainly be sweat. But don’t worry – you’ll have time to prepare before you take on your first escalation. The limits of your understanding will constantly be pushed, and you’ll be challenged to grow. Underlying it all is the fuel that drives our team: customer obsession. We keep mission-critical deployments online, recover from high-pressure incidents with grace and humility, become trusted advisors, and work so closely with our customers that they would swear we were part of their team.

Role scope: This is a technical Team Lead role rather than a traditional people-manager role. The Lead is expected to provide day-to-day technical and operational leadership, while formal personnel decisions remain with the manager.

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

How we rate this

Lead, Technical Services 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

Technical SupportLeadershipCloud ComputingIncident ManagementAtlas

Questions you could be asked

  1. Tell me about a project where technical support was part of your work. What did you do?
  2. Tell me about a project where leadership was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where incident management was part of your work. What did you do?
  5. Walk me through how you've used Atlas in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Technical Support, Leadership, Cloud Computing, Incident Management, and Atlas. 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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