Solutions Architect

About this role

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.

We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. About the Opportunity: We're looking for a Solutions Architect to join our growing revenue organization.

In this role, you'll own the technical relationship across the entire customer lifecycle, pre-sale through post-sale. You'll be the technical partner behind our most strategic enterprise accounts, from first conversations through production scale. Working alongside Account Executives, you'll lead technical discovery, demos, and proof-of-concepts, then carry that same solution through onboarding, workflow design, integration, and ongoing optimization.

You'll be your customers' trusted technical advisor at every stage of their Label Studio Enterprise journey. Label Studio is a deeply technical product, used by Data Scientists and ML Engineers as core infrastructure for their work. To succeed here, you'll need a real understanding of data labeling and the role it plays in model performance. You'll work directly with ML Engineers, Data Scientists, and MLOps teams to architect solutions that hold up in production.

What You’ll Do: Partner with Account Executives on strategic deals, leading technical discovery, tailored demos, architecture reviews, and proof-of-concepts that prove out Label Studio Enterprise against real customer data and workflows. Drive technical onboarding, guiding customers through installation, secure configuration, and best-practice deployment across cloud, on-prem, or hybrid environments. Architect integrations between Label Studio and customer AI/ML workflows, pipelines, storage, and enterprise systems.