data warehouses
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