Applied AI Software Engineer, GTM

Antithesis; Wien; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Antithesis is hiring an Applied AI Software Engineer to build AI-native products that empower GTM teams. You’ll work at the intersection of software engineering, applied AI, data, and RevOps to deliver pragmatic, scalable solutions.

You’ll design and ship full-stack AI-powered tools that help non-technical teams automate workflows, enrich data, and optimize account scoring. The current stack includes TypeScript, React, LangChain, and AWS, with emphasis on strong engineering fundamentals and

Qualifikationen

• 4+ years of professional software engineering experience shipping production systems.
• Experience shipping an LLM-powered product or workflow for real users.
• Experience working directly with non-technical users to understand workflows and improve products.
• Experience integrating with business systems such as Salesforce, HubSpot, Gong, Slack, or data-enrichment platforms.
• Strong product and engineering judgment that balances speed and reliability.

Aufgaben

• Collaborate with Sales, Marketing and RevOps to understand workflows and identify opportunities to automate with technology.
• Design, build, and ship full-stack AI-powered products for GTM teams.
• Create lightweight agent workflows, automations, and production applications for research, enrichment, account scoring, and related GTM problems.
• Make build-versus-buy decisions, leveraging existing tools, reusable skills, integrations, or full applications.
• Partner with RevOps to integrate with GTM systems like Salesforce, Marketo, and Gong.

Kenntnisse

Non-technical user empathy

Experimentation culture

Engineering judgment

Independent shipping

Tools

TypeScript

React

LangChain

AWS

Salesforce integration

HubSpot integration

Jobbeschreibung

About Antithesis

We’re on a mission to redefine how modern distributed systems are tested and released. Our platform is trusted by engineering teams who demand rock-solid reliability, scalable performance, and deep technical visibility. Our platform doesn’t just assure system correctness and reliability, it exists because developers need something better. If you’ve ever experienced the pain of a production outage, had a bad week on-call, or had a release delayed by weeks because of one killer bug – you’ll understand exactly why we’re doing what we do. If you're passionate about developer-first products, system resilience, and correctness, we’d love to talk.

About the Role

We’re hiring an Applied AI Software Engineer to build AI-native products to help our go-to-market and marketing teams.

You’ll work at the intersection of software engineering, applied AI, data, and GTM operations.

What You’ll Do

• Work directly with Sales, Marketing and RevOps to understand how they work, where they get stuck, and how they could do more with technology.

• Design, build, and ship full-stack products that use AI to help non-technical teams get work done.

• Build everything from lightweight agent workflows and automations to production applications for research, enrichment, account scoring, and other GTM problems.

• Make pragmatic build-versus-buy decisions. The right solution might use an existing tool, a reusable agent skill, a custom integration, or a full application.

• Partner with RevOps to integrate with the systems that GTM teams use like Salesforce, Marketo, and Gong.

Why Join Us?

• Join a collaborative, kind team supporting a rapidly-growing sales organization.

• Work with the resources - tools, teammates, and world-class experts - to do portfolio-worthy work.

• Use and explore AI in an environment that does not tolerate workslop.

Preferred Qualifications

• 4+ years of professional software engineering experience, including independently shipping and operating production systems.

• Experience shipping an LLM-powered product, feature, or workflow for real users. You understand the difference between an impressive prototype and a system people can depend on.

• Experience working directly with non-technical users to understand their workflows, test ideas, and improve products through feedback.

• Experience integrating with business systems such as Salesforce, HubSpot, Gong, Slack, or data-enrichment platforms.

• Strong product and engineering judgment. You can move quickly when the problem calls for an experiment and build for reliability when the solution becomes business critical.

Our current stack for internal GTM applications includes TypeScript, React, LangChain, and AWS. Experience with these tools is helpful, but we care more about strong engineering fundamentals and the ability to learn.