AI · SaaS
ABOUT THE ROLE
Join an early-stage B2B SaaS company building AI-powered revenue workflows for enterprise customers. As a founding member of the deployment team, you will turn complex customer data into validated models and production-ready agent workflows that support measurable business outcomes.
WHAT YOU'LL DO
- Lead customer onboarding end to end, from scoping data access to exploring warehouse schemas and mapping data to business concepts such as churn, expansion, and recurring revenue.
- Build and validate semantic models by interviewing stakeholders, reconciling differing definitions, and encoding agreed-upon logic in verified SQL queries.
- Deploy customer-specific workflows and agent pipelines, then monitor their performance and business outcomes.
- Manage several customer engagements at once, 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.
WHAT WE'RE LOOKING FOR
- Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.
- Experience owning technical customer deployments end to end and independently shipping production data pipelines or software systems.
- Strong SQL and data warehouse skills, including the ability to navigate undocumented or legacy schemas and independently validate results.
- Proficiency with SQL, dbt, Python, data warehousing, LLMs, AI agents, signal engineering, or evaluation frameworks.