AI Engineer (GTM)

The future of AI, whether in training or evaluation, classical ML or agentic workflows, starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines.

About the Role

We're looking for an ambitious AI Engineer to transform how our go-to-market team operates. San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.

As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.

This is a highly hands-on role for someone who enjoys shipping systems, experimenting rapidly, and solving messy real-world problems with software.

What You'll Do

Build & Automate the foundational GTM AI stack:

• Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
• Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
• Build internal tools and lightweight services that accelerate GTM teams
• Replace manual workflows with scalable, automated systems

AI-Powered Systems & Agents:

• Design, deploy and continuously improve AI agents for lead qualification, sales assistance, account insights, and pipeline analysis

Required Qualifications:

• Strong engineering background (software, data, or growth engineering)
• Production code shipping experience
• Data pipeline, analytics, and experimentation framework familiarity
• Hands-on AI/LLM, prompt engineering, or agent-based systems experience