← All jobs · MongoDB

Technical Services Engineer, Named Accounts

MongoDB ·
28
AI-Agency
B25 U35
📍 Vancouver, CA 🌐 Remote/hybrid Senior 7+ yrs
MongoDBAWSGoogle Cloud PlatformMicrosoft AzureLinuxJavaPythonGo
TL;DR

Technical Services Engineer at MongoDB providing expert support to enterprise customers on database architecture, performance, and operations. Requires 7+ years of production database experience and deep knowledge of MongoDB ecosystem components.

Apply at MongoDB →
you'll be redirected to the company's career page

Job description

MongoDB Technical Services Engineers for Named Accounts, as part of the Premium Services team within Technical Services, will use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB problems. 

They are experts in one or more components of the MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for automation, backup, monitoring, and analysis of their MongoDB systems), and MongoDB Atlas. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers.

We are looking to speak to candidates who are based in Vancouver, BC for our hybrid working model.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use cases. In Technical Services, it's our job to help these people.

You'll be primarily working alongside a handful of our largest enterprise customers - building a relationship, intimately guiding their use of MongoDB products and services, coordinating the resolution of their complex issues, - answering questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices for running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs, - interfacing with our product management and development teams on their behalf. 

What you need

You should have 7+ years of database industry experience deploying and managing operational production databases at scale, both on premise and in the cloud. We encourage you to apply even if you’ve never used MongoDB before. We consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.

It’s crucial for every candidate to check off at least 50% of these boxes:

Bonus Points

Success Measures

We are looking to speak to candidates who are based in Vancouver, BC for our hybrid working model.

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.

Req ID: 1273397117

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:
$115,000$160,000 CAD
Apply at MongoDB →

More open roles at MongoDB

MongoDB ·
Staff Research Scientist, Voyage AI
📍 Palo Alto, US 🌐 Remote 💰 $137K–$270K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
LLMsembedding modelsrerankersneural networksNLP
83
AI-core
MongoDB ·
Senior Research Scientist
📍 Sydney, AU 🌐 Remote · Senior
Senior Research Scientist at MongoDB conducting cutting-edge ML research in code-oriented LLMs, agentic systems, reinforcement learning, and reasoning models. Focus on publishing in top-tier venues and translating research into commercial database products.
PyTorchTensorFlowJAXReinforcement Learning
81
AI-core
MongoDB ·
Senior Research Scientist, Voyage AI
📍 Palo Alto, US 💰 $118K–$231K · Senior
Senior Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Focus on cutting-edge research in LLMs, information retrieval, and distributed neural network training.
LLMsembedding modelsrerankersneural networksNLP
81
AI-core
MongoDB ·
Senior Staff Engineer, AMP
📍 CA 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, architecture, and team leadership on a GenAI-powered platform that transforms legacy applications into modern microservices architectures.
MongoDBGenAImicroservicesdistributed systems
79
AI-core
MongoDB ·
Staff Engineer, Code Generation
📍 US 🛠 AI tools welcome at work · Staff
Staff Engineer at MongoDB building AI-powered code transformation tools that modernize legacy applications into microservices architectures. Lead the Code Gen team in designing orchestration layers and integrating GenAI capabilities for automated code transformation and testing.
PythonPostgreSQLOracleMySQLSQL Server
77
AI-core