Partner with executives and operational teams to understand their business challenges and identify where our GenAI platform can have the biggest impact
Act as the technical expert on our platform, translating business needs into agentic workflows and custom solutions
Integrate customer data sources and APIs into our platform's research agents and AI workspace
Design and deploy custom LLM workflows and agents for analyzing complex customer data
Develop and automate data science workflows tailored to each customer's needs
Own the full implementation—from initial discovery through deployment and adoption

Master's degree with 3+ years of experience (including 1+ year client-facing) or Bachelor's degree with 6+ years of experience in data science, ML engineering, or technical consulting.
SaaS experience is a plus.
Strong data engineering skills (ETL, pipelines, cloud data warehousing) combined with data science fundamentals (modeling, statistics)
Hands-on experience with LLMs—building solutions, prompt engineering, and working with GenAI frameworks
Proficiency in Python and NoSQL databases (MongoDB)
Experience with statistical modeling, machine learning, and model evaluation
Familiarity with cloud platforms (Azure, AWS, or GCP) and production deployment practices
Experience working with both technical and non-technical stakeholders
Comfortable in an early-stage startup environment—you're self-directed and thrive with ambiguity
Willing to travel up to 50% for on-site customer work
Able to communicate technical concepts clearly to business audiences.

Growth Signals

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