← All jobs · MongoDB

Senior Customer Success Manager

MongoDB ·
31
AI-Agency
B15 U55
📍 Denver, US Senior 7+ yrs
MongoDBMongoDB Atlas
TL;DR

Senior Customer Success Manager at MongoDB responsible for maximizing lifetime value and retention for Enterprise accounts. Advises on technical deployments, conducts business reviews, and drives cross-functional collaboration to achieve customer business goals.

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

Job description

As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You’ll drive customer retention, revenue realization, and long-term advocacy while mentoring team members to elevate the organization's collective impact. You’ll build deep relationships with senior stakeholders, understand intricate technical environments inside and out, and navigate global account teams to deliver measurable impact in high-pressure scenarios.

 

Key Responsibilities

Customer Advisory

Account & Portfolio Management

Internal Collaboration & Customer Advocacy

What You Will Bring

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

 

Req ID: 426282

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, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:
$87,000$172,000 USD
Apply at MongoDB →

More open roles at MongoDB

MongoDB · 🔄 synced 8h ago
Head of AI Platform, GM
📍 US 🌐 Remote · Executive
Head of AI Platform and General Manager at MongoDB leading the development and scaling of a new AI Applications Platform. Owns product vision, P&L, and R&D organization (Engineering, Product, Design) for an enterprise-grade platform serving thousands of customers building production AI applications.
MongoDB AtlasAWSGoogle CloudMicrosoft Azurevector databasesembeddings
83
AI Builder
MongoDB · 🔄 synced 8h ago
Senior Staff Engineer, AMP
📍 US 🌐 Remote · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehousesorchestration agents
80
AI Builder
MongoDB · 🔄 synced 8h ago
Senior Staff Engineer, AMP
📍 CA 🌐 Remote · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehouses
79
AI Builder
MongoDB · 🔄 synced 8h ago
Staff Engineer, Code Generation
📍 CA 🌐 Remote-only · Staff
Staff Engineer at MongoDB leading the Code Gen team building AI-powered code transformation tools. Focus on designing orchestration layers, integrating GenAI capabilities, and modernizing legacy applications into microservices architectures.
PostgreSQLMySQLOracleMicrosoft SQL ServerGenAILLMs
79
AI Builder
MongoDB · 🔄 synced 8h ago
Staff Research Scientist
📍 Palo Alto, US 🌐 Remote 💰 $151K–$297K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for RAG and semantic search. Focus on frontier LLMs, information retrieval, and deploying neural networks at scale.
PyTorchTensorFlowJAXembedding modelsneural networks
78
AI Builder