GenAI engineers. A business already keeps its ledger, its orders and its documents in these systems. The new product is an agent that works with them, one that answers questions about the accounts, raises a purchase order, reads an invoice or carries a case from start to finish. GenAI engineers build those agents, at the ERP makers, like Infor and Deltek, at the automation and process companies, like UiPath and Skan AI, at Docusign, the signature platform, and at a wave of young companies that sell AI agents as workers, like NextDimension AI and Endian AI. The postings require Python, LangChain and LangGraph, with the model services of AWS, Azure and Google Cloud, and many also require React or Angular because the agent needs a screen.

Java backend and full-stack engineers. ERP suites, process platforms, content repositories and integration engines are large Java systems that customers configure, extend and upgrade over decades. Java engineers build and maintain them. Many roles are full-stack, so the postings often require SQL, React or Angular alongside Java and Spring Boot. Their share of hiring is close to that at other product companies.

.NET engineers. A good part of this world runs on the Microsoft stack. Mid-market and project-based ERP suites, many products bought and kept alive by software holding companies, like Harris Computer and Trilogy, and much of Docusign are written in C# and .NET. So .NET engineers are more common here than at most product companies. Most of these roles are full-stack, with React or Angular on top, and a striking share of the postings also require experience of building features with large language models.

Cloud and DevOps engineers. Process platforms, integration services and signature platforms now run as cloud services that customers depend on every day. Cloud and DevOps engineers build and run them, in Python and Java with Go, on AWS and Kubernetes with Terraform. Their jobs are among the most persistently open in this Industry Vertical, so over the year they have been one of its three largest roles, more common than at most product companies.

ERP and CRM developers. Some roles are about building and extending packaged business suites rather than writing a product from scratch. These developers configure and extend ERP and customer-management products, often in Java or C#, and they are far more common here than elsewhere in the product industry.

Integration developers. Connecting one application to another is a specialism in its own right. Integration developers build connectors and mappings on integration platforms, and they too are concentrated in this Industry Vertical.

Salesforce engineers. At the integration companies, like Celigo and DBSync, connecting Salesforce and NetSuite to the rest of a business is part of the product. Salesforce engineers here build those connections, which makes them more common than in most product companies.

Python backend engineers. Some companies here, like Celonis and Skan AI, sell software that shows a business how its work really flows. One kind, called process mining, rebuilds the path of every order and invoice from the time stamps a company's systems record. Another, called task mining, watches how work is done on screen. The services behind both are written in Python, with Django, FastAPI and Flask, and Python backend engineers appear here more often than usual.

Smaller groups. Test engineers are fewer here than at most product companies and test mainly in Java with Playwright and Selenium. Frontend engineers build the visual canvases on which low-code applications and automations are drawn. Mobile engineers work on the Docusign app and on Vyapar, the small-business billing app, and a handful of SAP specialists build the connectors that read SAP systems.

Rare here. Data engineering, C/C++ systems engineering and firmware barely appear.