We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

This role will be based remotely in Mumbai, India.
- Ideally 5+ years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Experience in automated performance testing, including writing test plans and executing tests using tools like Locust, Gatling, or jMeter
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership




- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 30%
- A Bachelor's degree or equivalent work experience

You may also have:
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and productive technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification

What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisati

📌 Partner Solutions Architect (Mumbai)
🏢 MongoDB
📍 Mumbai