Solutions Architect

H

Human Signal

πŸ’΅ $122k-$143k
πŸ“Remote - Worldwide

Summary

Join HumanSignal as an Enterprise Solutions Architect and ensure our enterprise customers maximize their Label Studio Enterprise investment. Partner with Customer Success Managers to guide customers through setup, configuration, customization, workflow design, integration, and ongoing optimization. Serve as a trusted technical advisor, architect solutions, troubleshoot issues, and ensure seamless integration with customer AI/ML pipelines. Collaborate with Product, Engineering, Support, and Customer Success to deliver an exceptional customer experience. This high-impact role puts you at the center of customer adoption and success, shaping our engagement model, supporting customer scaling, and influencing product direction. As an early member of our Customer Success team, you will help shape our engagement model, support customer scaling, and influence our product direction through direct technical insights. This role offers the opportunity to work with leading AI teams and contribute to the future of data-centric AI.

Requirements

  • 3+ years in a customer-facing technical role (e.g., Solutions Architect, Sales Engineer, Professional Services Engineer, or similar) for a highly technical product, ideally enterprise SaaS or ML/AI platforms
  • Direct experience building a data labeling pipeline (e.g. data annotation, labeling workflows, and/or the ML lifecycle) and the ability to effectively communicate these concepts to audiences
  • Experience integrating SaaS platforms with ML pipelines; has built & deployed ML models to production and/or done engineering work to prepare datasets for data science teams
  • Hands-on experience with Python, REST APIs, and infrastructure tools (Linux/Unix, Docker; Kubernetes a plus). Has built with multiple client APIs/SDKs in projects. Experience writing related technical documentation a plus
  • Proven success in delivering onboarding, solution implementation, troubleshooting, and custom development for enterprise customers
  • Strong executive presence and excellent written and verbal communication skills; able to translate complex technical concepts to a wide range of audiences from Data Scientists and Engineers to technical Executives
  • Strong project management and organizational skills; ability to manage multiple customers and priorities simultaneously
  • Collaborative, adaptable, and self-driven with a bias toward action

Responsibilities

  • Drive technical onboarding for enterprise customers , guiding them through installation, secure configuration, and best-practice deployment of Label Studio Enterprise across cloud, on-prem, or hybrid environments
  • Advise on and help architect integrations between Label Studio and customer AI/ML workflows, pipelines, storage, and enterprise systems
  • Develop and implement custom solutions (scripts, plug-ins, and APIs) to extend Label Studio functionality based on unique customer requirements
  • Troubleshoot and resolve advanced technical issues , serving as an escalation point for Customer Success Managers and collaborating with Product, Engineering, and Support as needed
  • Deliver enablement, workshops, and technical documentation to empower users and drive self-sufficiency with the platform
  • Act as a trusted technical advisor , building strong relationships with customer engineering, data, and AI/ML teams to support adoption, expansion, and long-term value
  • Surface customer feedback and advocate for product improvements by sharing learnings with Product and Engineering
  • Contribute to internal best practices and reusable solution assets for future customer engagements

Preferred Qualifications

  • Experience with javascript, CSS, & HTML is a plus
  • Creativity to help improve upon our post-sale technical & services offerings and supporting resources
  • Experience contributing to or deploying open-source software is a bonus

Benefits

  • Comprehensive health benefits
  • Stock options
  • Strong team culture rooted in transparency and collaboration

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