Quick overview
Job description
About the Role
Join an early-stage B2B SaaS team building AI-powered tools for revenue growth. As a founding deployment engineer, you will take technical implementations from customer data discovery through production, helping turn complex business information into reliable data models and agent workflows.
What You'll Do
Lead customer onboarding from data access planning through warehouse discovery and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
Build and validate semantic models by working with customer stakeholders to resolve competing definitions and encode agreed logic in verified SQL.
Deploy platform workflows and agent pipelines in customer environments, then monitor their performance and business outcomes.
Manage multiple customer engagements, balancing direct collaboration with customer teams and hands-on data work.
Use internal agent tools and share feedback that improves 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.
Experience owning customer deployments end to end and independently shipping and troubleshooting production code, data pipelines, or systems.
Strong SQL and data warehouse skills, including the ability to work with undocumented or legacy schemas and verify results.
Experience with data science or machine learning, or academic grounding in statistics, mathematics, or applied mathematics.
Fluency with SQL, dbt, data warehousing, Python, LLMs, AI agents, signal engineering, or evaluation frameworks.
A quantitative STEM background and experience in a startup, consulting, or other resourceful environment are valuable.
Comfort defending technical recommendations with customers, adapting to evidence, and doing detailed, repetitive data verification.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York.