Solutions Architect (Post Sales), Mid-Level (Remote) (San Francisco)

Solutions Architect (Post Sales), Mid-Level (Remote)

Join to apply for the Solutions Architect (Post Sales), Mid-Level (Remote) role at Jobright.ai

Solutions Architect (Post Sales), Mid-Level (Remote)

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Join to apply for the Solutions Architect (Post Sales), Mid-Level (Remote) role at Jobright.ai

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Job Summary:

HumanSignal is a growing startup focused on building the future of data-centric AI. As an Enterprise Solutions Architect, you'll ensure enterprise customers maximize their investment in Label Studio Enterprise by guiding them through setup, integration, and ongoing optimization, serving as their trusted technical advisor post-sale.

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.

Qualifications:

Required:

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.

Creativity to help improve upon our post-sale technical & services offerings and supporting resources.

Preferred:

Experience contributing to or deploying open-source software is a bonus.

Company:

HumanSignal enables data science teams to build AI models with their company DNA. Founded in 2019, the company is headquartered in San Francisco, California, US, with a team of 51-200 employees. The company is currently Growth Stage. HumanSignal has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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