Solutions Architect (Post Sales) jobs in United States
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HumanSignal ยท 4 months ago

Solutions Architect (Post Sales)

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.

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H1B Sponsor Likelynote

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

Qualification

Solutions Architect experienceData labeling pipelineSaaS integrationPythonREST APIsLinux/UnixDockerKubernetesJavaScriptCSSHTMLOpen-source softwareTechnical documentationProject managementCommunication skillsCollaborationCreativity

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 with javascript, CSS, & HTML is a plus
Experience contributing to or deploying open-source software is a bonus

Benefits

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

Company

HumanSignal

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HumanSignal enables data science teams to build AI models with their company DNA.

H1B Sponsorship

HumanSignal has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Growth Stage

Leadership Team

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Michael Malyuk
Co-Founder
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Nikolai Liubimov
Chief Technology Officer
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Company data provided by crunchbase