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Home / Product companies / IV · Enterprise SaaS and software / Martech / What martech companies hire for
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What martech companies hire for Industry Vertical 13, Martech, in Domain IV, Enterprise SaaS and software. The short answer Martech companies build the software marketing teams use to reach people. Their products send the right message to the right person on email, push, SMS and WhatsApp, build a single profile of each customer from scattered clues, listen to what people say about a brand, make the creative and run the events, and reward loyal customers. This is software for marketers, built on web interfaces and customer data, so the hiring leans towards Java, JavaScript and frontend engineers, with data engineers far more common than at most product companies. The largest single employer is Adobe, a maker of creative tools. AI work is unusually prominent and has grown sharply, because writing messages, generating images and answering shoppers in chat are natural work for language models. Who gets hired, and why Java backend and full-stack Data GenAI JavaScript and Node full-stack Frontend Test .NET Also present

Java backend and full-stack engineers. Behind every marketing product sits an engine that schedules campaigns, delivers millions of messages, runs loyalty points and serves the creative and event platforms. Java engineers build these engines. They are the most common opening here, and most roles are full-stack, so the postings require React and JavaScript alongside Java and Spring Boot, with Kafka for the flow of events.

Data engineers. A brand sees a customer as an email address on the website, a phone number at the billing counter, a device code in the app and a cookie from an advertisement. Joining those clues into one profile, and then matching people across companies, is data engineering at large scale. Data engineers are well over twice as common here as at a typical product company, concentrated at the identity and customer-data companies, like Epsilon and LiveRamp. The postings require Python and SQL with Spark, Databricks, Delta Lake and Kafka.

GenAI engineers. Marketing is full of work that language and image models can do, such as writing the message, generating on-brand creative, answering a shopper inside a WhatsApp chat and reading the social conversation about a brand. GenAI engineers build those features, at Adobe, the WhatsApp commerce platforms, like LimeChat and Bik, and the event platforms, like Cvent and Goldcast. The postings require Python with LangChain, LlamaIndex and vector databases such as Pinecone. They are more common here than at most product companies, and this role takes juniors more readily than any other large role in this Industry Vertical.

JavaScript and Node full-stack engineers. The marketer's everyday tools are web applications, from the journey canvas and the campaign editor to the shared WhatsApp inbox and the chatbot builder. Many are built end to end in TypeScript and Node with React or Vue. These engineers are several times as common here as at a typical product company, mostly at the platforms for small businesses and for selling over WhatsApp, like HighLevel and AiSensy.

Frontend engineers. Marketers and creators work inside design and video editors, survey builders, listening dashboards and campaign screens. Frontend engineers build them in React, with attention to performance, component design and micro-frontends. They are about twice as common here as at most product companies.

Test engineers. Testing has a solid place, mostly at Adobe and HighLevel, a small-business marketing platform. Testers automate in Java and JavaScript with Playwright, Cypress and Selenium, and some test mobile apps.

.NET engineers. The identity and loyalty companies, like Epsilon and dunnhumby, run long-established platforms on the Microsoft stack. .NET engineers maintain and extend them, usually with Angular and SQL Server, and they are hired with experience.

Also present. Full-stack engineers who work across several back-end languages, mobile engineers for creator apps, and a modest group of cloud engineers, below their usual weight.

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

The skills that set this Industry Vertical apart Customer data at scaleSpark, Databricks, Delta Lake, Kafka and SQL, required mostly in the data engineering postings. Web applications for marketersReact, Vue, TypeScript and Node, required in the frontend, JavaScript and Java full-stack postings. AI for content and conversationLangChain, LlamaIndex and vector databases, required in the GenAI postings. What is changing

These readings follow the record quarter by quarter, from October to December 2025, the third quarter of the financial year 2025-26, to July to September 2026, the second quarter of 2026-27. A longer record will show whether they last.

Hiring stayed firmOpenings were strong from the start of the record, and they fell back less than across product companies between July and September 2026. AI has led all year, and jumped recentlyAI work was a larger share of hiring here than across product companies in every quarter, and between July and September 2026 it rose sharply to almost twice their level. JavaScript and Node full-stack work grewbecoming a much larger part of the hiring by July to September 2026. Java's share fellfrom its level in October to December 2025, though it remains the most common opening.
Persistently open roles

A little fewer jobs here are persistently open than across product companies, and the pattern is clear.

Testing and frontend roles stay open longest. Test jobs are persistently open far more often than any other large role here, and far more often than test jobs elsewhere. Frontend jobs come close behind. The skills that turn up most often in these jobs are the testing tools Cypress, Selenium, Postman and JMeter. Data, .NET, JavaScript and cloud jobs fill quickly. They are posted again less often than at most product companies. Adobe and HighLevel are regularly hiring, keeping many of their jobs open again and again. How long they stay open. When a job is posted again, its first and last postings are typically three to four weeks apart, and rarely more than about ten weeks.
Where in the Industry Vertical the work is Market Segment 13.5

Creative tools, event platforms and creator marketing hires the most, through Adobe in The creative tools and Cvent in The event. Java, GenAI, test and frontend engineers lead there.

Market Segment 13.1

Marketing automation and customer engagement platforms is next, mostly through HighLevel. JavaScript full-stack and test engineers lead.

Market Segment 13.3

Customer data platforms (CDP) and identity resolution is the data-engineering corner, mostly through Epsilon, with .NET and Java engineers beside the data engineers.

Market Segment 13.4

PR, media monitoring and social listening tools hires Java, frontend and .NET engineers for listening and media platforms.

Market Segment 13.7

Loyalty and rewards platforms hires Java and .NET engineers for loyalty platforms and customer analytics.

Market Segments 13.2 and 13.6 hire less. The WhatsApp commerce platforms hire JavaScript and GenAI engineers, and the survey companies, like SurveyMonkey, hire frontend engineers.

Some companies listed here have their main home elsewhere. They are Salesforce and HubSpot (Market Segment 14.1, in Industry Vertical 14, CRM and sales tech), Blackhawk Network (Market Segment 17.6, in Industry Vertical 17, Payments) and Naehas (Market Segment 11.4, in Industry Vertical 11). Their hiring is described where they live, not here.

Bengaluru leads, and Delhi NCR is an unusually strong second, through Adobe's centre there, HighLevel and several listening and event companies, like Cvent and Sprinklr.

The door

Entry and junior hiring is a little above the average for product companies, and staff-level hiring is well below it, so this is largely a mid-level workforce.

GenAI work takes the most juniors, followed by testing and Java. The small cloud group takes juniors readily, mostly at Meltwater. Data engineering and .NET roles are hired with experience.
In one line If you build web applications in Java, JavaScript or React, or you are a data engineer who likes customer data, marketing software is a lively destination, and one of the most AI-active corners of the product industry. Terms used on this page Marketing automation is software that sends the right message to the right person at the right time on its own. A customer data platform builds a single profile of each customer from data held in many systems, and identity resolution is matching those records to the same person.
Back to the story

This page reads the openings. The story of the companies is on Martech.

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