About Vymo
 

Vymo transforms how financial institutions manage their distribution networks and collections

operations. Our AI-powered DMS and CMS platform serves 350,000+ users across 70+ global financial

enterprises, enabling banks and insurers to optimize performance across their distribution channels, and

empowering banks to drive operational excellence in collections.

Why Global Leaders Choose Vymo
 

Vymo partners with financial institutions through a comprehensive solution that combines deep domain

expertise with cutting-edge technology. Our platform's human-centric design, coupled with

enterprise-grade scalability and AI-powered intelligence, delivers measurable business outcomes while

ensuring high user adoption and engagement.

Recognition & Trust
 

● Backed by $45M+ funding from Peak XV partners (formerly Sequoia), Emergence Capital, and

Bertelsmann Investments.

● Trusted by leading global financial institutions including Berkshire Hathaway, AIA, AXA, SBI Life,

HDFC Bank, Aditya Birla Capital, Tata AIA, ABSLI and many more!

● Recognized by Celent in their 2024 Distribution Management Solutions report, with an Advanced

Functionality ranking.

● Featured in Gartner's Market Guide for Sales Engagement Applications and recognized as a

"Strong Performer" in Forrester's Sales Engagement Wave Report.

● Microsoft 'AI for All' award winner for innovation in artificial intelligence

Explore Vymo on https://vymo.com/

Product:
 

The evolution of Vymo as a product can be broadly divided into three phases

1. Lead and Activity Management: We provided a mobile-first lead and activity management tool

that enabled large enterprises with distributed field sales teams to digitize their sales processes

and get real time visibility into their team’s productivity.

2. Sales Engagement Platform: We built capabilities like nudges, goals, playbooks, performance

dashboards etc that enabled large financial institutions to improve their business outcomes

(faster time to convert, higher sales, increased productivity etc).

3. Distribution Management Platform: We are currently in this phase. With a significant increase in

the number of apps an average seller uses to perform their day-to-day business activities,

financial institutions are looking to consolidate their tech stack. In addition, we realize that we

have an opportunity to become an insurance “core system” by owning the end-to-end advisory

life cycle - recruitment, onboarding, training, selling, engagement and performance

management.

About the Role

We are looking for passionate Computer Science students who are excited to work on distributed backend systems, high-scale data pipelines, and enterprise-grade APIs. As a Backend Intern, you will contribute to real production systems and work closely with experienced engineers to design, build, and optimize scalable services.

Key Responsibilities

• Develop and maintain backend services using Node.js and/or Java

• Design and implement RESTful APIs

• Work on high-performance database systems including:

  • MongoDB

  • Postgres

  • ClickHouse

  • Elasticsearch

• Contribute to data pipeline development using:

  • Kafka

  • Debezium (CDC pipelines)

• Optimize database queries and improve system performance

• Build scalable and reliable distributed systems

• Work on data visualization and analytics integrations (Apache Superset)

• Participate in code reviews, debugging, and performance tuning

• Collaborate with cross-functional teams to ship production-ready features

• Write clean, testable, and maintainable code

Requirements

• Educational Qualification

  •  Freshers- B.Tech / M.Tech in Computer Science or a related field.

• Technical Skills

  • Strong fundamentals in Data Structures and Algorithms

  • Good understanding of backend development principles

  • Hands-on experience with Node.js and/or Java

  • Experience designing and building REST APIs

  • Good understanding of databases (SQL and NoSQL concepts)

  • Familiarity with 

• MongoDB

• MySQL / Postgres

• ClickHouse

• Elasticsearch

• Kafka

• Debezium (Change Data Capture pipelines)

• Apache Superset

• Understanding Of

  • Distributed systems basics

  • Database indexing and query optimization

  • Asynchronous programming

  • Version control systems (Git)

• Good to Have

  • Experience building scalable systems

  • Knowledge of event-driven architectures

  • Exposure to production monitoring and logging systems

  • Prior backend internship or significant backend project experience