Join an early-stage B2B SaaS team building an AI-powered revenue platform for enterprise customers. You will lead technical deployments from data discovery through production workflows, turning customer data and business knowledge into reliable systems that support revenue growth.
Responsibilities
Onboard customers by scoping data access, exploring data warehouses, and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
Interview stakeholders to resolve differing business definitions and encode validated models in SQL.
Deploy platform workflows and agent pipelines in customer environments, then monitor their performance and outcomes.
Manage several customer 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.
Requirements
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 data systems.
Strong SQL and data warehouse skills, including navigating undocumented or legacy schemas and validating results.
Experience with SQL, dbt, Python, data warehousing, LLMs, AI agents, signal engineering, or evaluation frameworks.
Data science or machine learning experience, or academic grounding in statistics, mathematics, applied mathematics, computer science, or another quantitative field.
Customer-facing experience, sound technical judgment, and willingness to perform detailed, hands-on data verification.
A bachelor's degree in computer science, data science, statistics, or a quantitative STEM field.
Conditions
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
On-site, five days per week in New York, New York, United States.
Where you’d work
From the office, 4 or more days a week in the office