Build AI-powered systems that revolutionize the go-to-market strategy, enabling faster, more effective customer acquisition and engagement while continuously improving workflows.
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 — from text and images to time series and agents-in-environments. 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 — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
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.
This role is a force multiplier for the entire company. You’ll build the infrastructure that allows the GTM team to move faster, learn faster, and scale without proportional headcount. You’ll help us:
Design and deploy AI-driven workflows and agents that augment GTM teams.
Examples include:
You’ll continuously improve these systems using real performance data and feedback loops.
Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence.
Create tight feedback loops between users, product signals, and GTM actions.
This is fundamentally an engineering role, not traditional GTM operations. We’re looking for someone who enjoys building systems, not managing tools.
HumanSignal builds a powerful platform that facilitates the creation, curation, and evaluation of high-quality data specifically for AI applications. Serving leading AI teams, our tools, including the open-source Label Studio, help organizations unlock new potential in AI by providing purpose-built datasets that go beyond traditional data scraping. We're on a mission to empower researchers and enterprises to innovate freely with data that's tailored to their unique needs.
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