Who gets hired, and why
GenAI
JavaScript and Node
Java backend
Data
.NET
Test
Cloud and DevOps
Also present
GenAI engineers. Sales is full of writing and searching, from the cold email and the call summary to the answer to a security questionnaire and the right slide for the next meeting. Language models do this work well, and the companies here sell it as the product itself, not as an extra feature. GenAI engineers build these agents and assistants, mostly at Salesforce, the largest CRM maker, and Seismic. The postings require Python with LangChain and vector databases such as Pinecone and Weaviate, and many require search skills, such as Elasticsearch and semantic search, which finds documents by meaning rather than by exact words. The role is about twice as common here as at a typical product company, and AI work was about level with product companies at the end of 2025 and a larger share of hiring than across product companies in every quarter of 2026.
JavaScript and Node engineers. A contact database serves millions of company and person records to salespeople through fast web services. ZoomInfo builds these services in Node and TypeScript, and it accounts for most of this role here. The postings require NestJS, GraphQL, Redis and MongoDB, and the test side of the same teams requires REST Assured for checking the services. These engineers are several times as common here as at most product companies, and they are hired with experience.
Java backend engineers. Java engineers build the CRM's services, the pipeline and forecasting engines and the pricing systems. They are fewer here than at most product companies, and the postings rarely want Java alone. Many also require Go, Python or Node, with Kafka, PostgreSQL and the main clouds.
Data engineers, and Python and Go backend engineers. Knowing which companies are researching a product before they ever fill in a form, called intent data, means collecting signals from across the web and matching them to accounts. 6sense builds this at large scale. Its data engineers work in Python and Java with Spark, Hive, Presto, EMR and Redshift, and its backend engineers work in Python with Django and FastAPI, or in Go with Cassandra, MongoDB and Elasticsearch. Data engineers are well above their usual weight here, and so are backend engineers who are not tied to one language.
.NET engineers. Seismic, which helps salespeople find and share the right material, builds its platform on C# and .NET with Azure, Kubernetes and Kafka from its centre in Hyderabad. LeadSquared, an Indian CRM maker, also hires .NET engineers. The role takes juniors more readily than most here.
Test engineers. Testing has about its usual place. The newer CRM makers, including SuperAGI, an agentic challenger built in Bengaluru, and the pricing company Vendavo hire most of the testers. The postings require Java with JUnit, Playwright and Selenium, and a good share ask for performance testing with JMeter and LoadRunner.
Cloud and DevOps engineers. Cloud engineers also hold about their usual place, mostly at Salesforce, 6sense and Clari, the forecasting company. The postings require Python and Java alongside AWS, Kubernetes and Terraform, with Spinnaker for releasing software and Grafana and Splunk for watching it run.
Also present. Full-stack engineers who work across React, Vue and Angular, frontend engineers at the newer CRM makers, and a few Salesforce admin-developers.
Rare here. C/C++ systems engineering, firmware and mobile work barely appear.
Where in the Industry Vertical the work is
Market Segment 14.2B2B sales intelligence and ABM platforms hires the most. In The database of buyers, ZoomInfo hires mostly Node engineers. In Intent and the account, 6sense hires data, Python and Go engineers.
Market Segment 14.1CRM software is next. In The suite, Salesforce hires GenAI, Java and cloud engineers. In India's own CRM and the agentic challenger, the Indian CRM makers hire testers, .NET and frontend engineers.
Market Segment 14.6Sales enablement platforms is mostly Seismic in Hyderabad, hiring .NET and GenAI engineers.
Market Segment 14.5CPQ, pricing and RFP software hires less. The proposal and the RFP hires GenAI engineers to draft answers to buyers' questionnaires, and The quote and the price hires Java engineers and testers.
Market Segments 14.3 and 14.4 hire little. The sales-engagement companies in 14.3, like Outreach and Salesloft, hire GenAI, cloud and data engineers, and Clari in 14.4 hires Java, cloud and test engineers.
Some companies listed here have their main home elsewhere. They are HighLevel (Market Segment 13.1, in Industry Vertical 13, Martech) and Conga (Market Segment 10.4, in Industry Vertical 10, ERP and business automation). Their hiring is described where they live, not here.
Bengaluru leads, and Hyderabad is an unusually strong second, through Salesforce's centre there and Seismic, which hires only in Hyderabad. Pune hires a little.