Serve as a trusted technical advisor to enterprise customers, translating AI model outputs, limitations, and best practices into clear, actionable strategies.
Guide customers through critical decisions such as accuracy vs. latency vs. cost
Provide hands-on technical guidance across API integrations, data flows, AI workflow design and orchestration, and system architecture for scalability and reliability.
Ensure solutions are built for production, not just pilots.
Surface customer feedback, recurring pain points, and feature gaps as an internal advocate - working closely with Product, Development, and Engineering (PDE) to influence roadmap and improve the platform.
Collaborate with Customer Success Managers on account strategy and adoption, and partner with Sales on technical validation where needed.
Who you are
4-6+ years in Technical Consulting, Solutions Engineering, or similar roles in SaaS or AI environments.
Proven experience working with enterprise customers on complex, production-grade implementations.
Strong understanding of APIs, system integration, workflow design, and AI systems (e.g. prompt engineering, semantic matching, LLMs, document processing, automation workflows).
Ability to reason through system tradeoffs and architecture decisions.
Excellent communicator - able to translate complex technical concepts into plain language for customers and stakeholders, with patience and empathy.
Comfortable with the dynamic nature of AI, including the unique risks posed by LLM-based applications such as prompt injection and hallucination.
Familiar with tools like Jira, Slack, HubSpot, Notion, or equivalent.
