Quick overview
Job description
About the Role
Join an early-stage B2B SaaS team building AI-powered revenue workflows for enterprise customers. As a founding deployment hire, you will turn complex customer data into dependable systems that support measurable business outcomes.
What You'll Do
Lead customer deployments end to end, scoping data access and mapping undocumented warehouse schemas to business concepts such as churn, expansion, and recurring revenue.
Build and validate semantic models by working with customer stakeholders to resolve conflicting definitions and encode them in verified SQL queries.
Deploy agent workflows and pipelines in customer environments, then monitor their performance and business impact.
Manage several concurrent engagements, collaborating with customer data and engineering teams while completing hands-on data work.
Use internal agent tools and share feedback to improve evaluation guardrails, validation frameworks, and agent infrastructure.
What We're Looking For
Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.
Evidence of independently shipping production code or data pipelines and owning technical customer deployments end to end.
Strong SQL and data warehouse skills, including experience working with undocumented or legacy schemas and validating results.
Experience with Python, dbt, data warehousing, LLMs, AI agents, signal engineering, and evaluation frameworks.
Data science or machine learning experience, or an academic foundation in statistics, mathematics, or a related quantitative field.
A bachelor's degree in computer science, data science, statistics, or a related quantitative discipline.
Customer-facing experience, sound technical judgment, and comfort with detailed, hands-on data verification in a startup, consulting, or similarly fast-moving environment.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York, United States.