AI · SaaS
ABOUT THE ROLE
Join an early-stage B2B SaaS team building AI-powered revenue workflows for enterprise customers. As a founding member of the deployment team, you will turn complex customer data into reliable models and production agent workflows that support measurable business outcomes.
WHAT YOU'LL DO
- Lead customer onboarding, assess data access, explore warehouse schemas, and map data to business concepts such as churn, expansion, and recurring revenue.
- Interview customer stakeholders, reconcile differing business definitions, and build a verified semantic layer using SQL.
- Deploy workflow and agent pipelines in customer environments, then monitor their performance and outcomes.
- Manage several customer engagements at a time, balancing direct collaboration with customer teams and hands-on data work.
- Use internal agent tools and share feedback to improve evaluations, validation, and agent development frameworks.
WHAT WE'RE LOOKING FOR
- Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.
- Experience independently shipping production code or data systems and owning technical customer deployments end to end.
- Strong SQL and data warehouse skills, including the ability to navigate undocumented schemas and validate results.
- Experience with Python, dbt, data warehousing, LLMs, AI agents, signal engineering, or evaluation frameworks.
- Data science, machine learning, statistics, mathematics, or applied mathematics background, supported by relevant study or hands-on work.