Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the technical relationship throughout the entire customer journey, from pre-sale to post-sale.

• Collaborate with Account Executives on key strategic deals.

• Conduct technical discovery sessions, customized demonstrations, architecture evaluations, and proof-of-concepts utilizing actual customer data and workflows.

• Facilitate technical onboarding, encompassing installation, secure configurations, and optimal deployment practices across cloud, on-premises, or hybrid settings.

• Design integrations between Label Studio and customer AI/ML workflows, pipelines, storage solutions, and enterprise systems.

• Develop custom scripts, plug-ins, and APIs to enhance Label Studio for specific customer needs.

• Act as the senior technical escalation point, addressing advanced issues in collaboration with Product, Engineering, and Support teams.

• Provide enablement sessions, workshops, and documentation to empower customer teams towards self-sufficiency.

• Guide customer engineering, data, and AI/ML teams on adoption strategies, expansion opportunities, and long-term value creation.

⛳️ Requirements

• A minimum of 5 years in a customer-facing technical position such as Solutions Architect, Sales Engineer, Professional Services Engineer, or a comparable role within a highly technical product environment; preferably enterprise SaaS or ML/AI platforms.

• Ideal candidates will have experience on both sides of the sales process.

• Proven experience in developing a data labeling pipeline, including data annotation, labeling workflows, or the broader ML lifecycle.

• Practical experience in integrating SaaS platforms with ML pipelines.

• Experience in deploying models to production or preparing datasets for data science teams.

• Proficiency in Python, REST APIs, and infrastructure tools such as Linux/Unix and Docker; familiarity with Kubernetes is advantageous.

• Background in building against various client APIs and SDKs.

• Knowledge of JavaScript, CSS, and HTML is a plus.

• A proven track record in technical discovery, demonstrations, and proof-of-concepts during sales processes, followed by successful onboarding, implementation, troubleshooting, and custom development.

• Strong business acumen to convert customer challenges into identifiable value propositions and predict objections.

• Professional demeanor with excellent writing skills.

• Capability to work collaboratively with Data Scientists, ML Engineers, and technical executives.

• Ability to manage multiple complex accounts and competing priorities effectively.

🏝️ Benefits

• Variable compensation with anticipated On-Target Earnings between $175,000 - $205,000 USD upon achieving objectives.

• Stock options available.

• Comprehensive health benefits package.

• A strong team culture emphasizing transparency and collaboration.