Quick overview
Job description
About the Role
Join an early-stage B2B SaaS team building AI-powered tools for revenue operations. As a founding member of the deployment team, you will connect enterprise data environments to production workflows and help customers turn business data into measurable outcomes.
What You'll Do
Lead customer deployments from scoping data access through exploring warehouses and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
Interview customer stakeholders, reconcile differing definitions, and build a validated semantic layer using SQL.
Deploy and monitor data workflows and AI agent pipelines in customer environments, ensuring they produce useful outcomes.
Manage multiple customer engagements, collaborating with customer data and engineering teams while doing hands-on data work.
Use internal agent tools and share feedback to improve evaluation safeguards, 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 independently owning technical customer deployments and shipping production data systems or pipelines.
Strong SQL and data warehouse skills, including the ability to investigate undocumented schemas and validate results.
Proficiency with relevant tools and concepts such as dbt, Python, LLMs, AI agents, signal engineering, and evaluation frameworks.
A quantitative STEM degree or equivalent grounding in computer science, statistics, mathematics, or applied mathematics, along with some data science or machine learning experience.
Customer-facing experience, sound technical judgment, and comfort with detailed, iterative data verification in a startup or similarly hands-on environment.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in New York, New York, five days per week.
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