← All jobs · MongoDB

Salesforce CPQ engineer 3

MongoDB ·
49
AI-Agency
B35 U72
📍 Gurugram, IN 🌐 Remote/hybrid 🛠 AI tools welcome at work Senior 6+ yrs
Salesforce CPQApexLightning Web ComponentsFlowsSOQLRESTSOAP APIsSalesforce DXCopadoGearset
TL;DR

Salesforce CPQ Engineer III at MongoDB designing and building Configure-Price-Quote solutions for the sales organization. Hands-on role spanning Apex, Lightning Web Components, Flows, and integrations with ERP and billing systems.

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

Job description

Engineer 3, Business Systems (CPQ)

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

About Team

The CRM Technologies Team plays a critical role in optimizing our sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce and Quote-to-Cash technologies, the team ensures that business users have the tools, automation, and operational support needed to effectively manage quoting, pricing, approvals, and downstream business processes.

With deep expertise in Salesforce development, CPQ, integrations, and platform operations, the team continuously enhances the CRM ecosystem to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Finance, Deal Desk, and Engineering to deliver scalable, secure, and reliable Quote-to-Cash solutions.

Role Overview

We are looking for a CPQ Engineer III to design, build, and support core capabilities in our Configure–Price–Quote (CPQ) stack that power how our GTM teams sell and price MongoDB offerings. As a senior individual contributor, you will own end-to-end delivery of features across configuration, pricing, discounting, approvals, and quote generation, working closely with Product, Deal Strategy, RevOps, and Sales.

You will translate business requirements into high-quality technical solutions on Salesforce CPQ and related platforms, spanning configuration, custom development (Apex/LWC/Flows), and integrations with downstream systems. This role is hands-on and delivery-focused: you will be responsible for implementing well-structured, testable solutions, improving performance and reliability of existing CPQ flows, and contributing to shared patterns, frameworks, and best practices within the CPQ & RevOps engineering team.

What you’ll do

Responsibilities

Minimum Requirements

Preferred Qualifications

Success Measures

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.

Requisition ID 1273405391

 

Apply at MongoDB →

More open roles at MongoDB

MongoDB 🔷 AI-first · 🔄 synced 7h 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. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
PyTorchTensorFlowJAXembedding modelsrerankersLLMs
83
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 US 🌐 Remote 🛠 AI tools welcome at work · 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-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of AI Platform, GM
📍 US 🌐 Remote 🛠 AI tools welcome at work · 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
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 British Columbia, CA 🌐 Remote 🛠 AI tools welcome at work · 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
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of Post Sales Technology
📍 Palo Alto, US 🌐 Remote 🛠 AI tools welcome at work · Director
Head of Post Sales Technology at MongoDB leading AI-first transformation of customer support. Responsible for designing conversational AI platforms, predictive analytics, intelligent automation, and change leadership across support operations.
RAGconversational AImachine learningenterprise data platformsworkflow automation
77
AI-core