Solutions Architect

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Partner with Account Executives on strategic enterprise opportunities, leading technical discovery, tailored demonstrations, architecture reviews, and proof-of-concepts using real customer data and workflows.
• Drive technical onboarding by guiding customers through installation, secure configuration, and best-practice deployment across cloud, on-premises, and hybrid environments.
• Architect integrations between the platform and customer artificial intelligence and machine learning workflows, data pipelines, storage systems, and enterprise technologies.
• Develop custom solutions, including scripts, plug-ins, and application programming interfaces (APIs), to address unique customer requirements and extend platform capabilities.
• Serve as the senior technical escalation point for strategic accounts, resolving complex technical challenges in collaboration with Product, Engineering, and Support teams.
• Deliver technical enablement sessions, workshops, and documentation that help customer teams become self-sufficient and maximize platform adoption.
• Act as a trusted technical advisor to customer engineering, data, and AI/ML teams throughout implementation and ongoing usage.
• Support customer adoption, expansion, and long-term success by identifying opportunities to optimize workflows and increase business value.
• Manage multiple complex enterprise accounts and competing priorities while maintaining a high standard of technical and customer engagement.

Requirements

• 5+ years of experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Professional Services Engineer, or a similar position supporting highly technical products, ideally within enterprise Software as a Service (SaaS) or machine learning/artificial intelligence platforms.
• Hands-on experience building data labeling pipelines, annotation workflows, or other components of the machine learning lifecycle, with the ability to explain technical concepts effectively to both engineers and senior executives.
• Proven experience integrating SaaS platforms with machine learning pipelines and workflows, including experience deploying models to production or preparing production-ready datasets for data science teams.
• Strong proficiency in Python, Representational State Transfer (REST) APIs, Linux/Unix, and Docker, with Kubernetes experience considered a plus.
• Experience working with multiple customer APIs and software development kits (SDKs); JavaScript, Cascading Style Sheets (CSS), and HyperText Markup Language (HTML) experience is a plus.
• Proven ability to lead technical discovery, demonstrations, and proof-of-concepts during sales cycles, followed by ownership of onboarding, implementation, troubleshooting, and custom development after the sale.
• Strong business acumen and the ability to translate customer challenges into clear technical and business value propositions.
• Executive presence, strong written and verbal communication skills, and the ability to engage effectively with Data Scientists, Machine Learning Engineers, and technical executives.
• Strong analytical and problem-solving skills, with the ability to anticipate customer concerns and proactively address technical objections.
• Comfortable managing multiple complex enterprise accounts, shifting priorities, and technically demanding customer requirements.

Benefits

• Base salary targeted between $122,500–$143,500 USD, based on experience and skills.
• Variable compensation eligibility, with anticipated On-Target Earnings (OTE) of $175,000–$205,000 USD when objectives are met.
• Stock options.
• Comprehensive health benefits.
• A collaborative team culture centered on transparency and collaboration.
• Compensation determined based on factors including experience, expertise, and relevant industry knowledge.
• Opportunity to work with advanced artificial intelligence, machine learning, data infrastructure, and enterprise technologies.
• Position available across North America, with the stated compensation range applicable to the role.