Forward-Deployed AI Data Engineer
You will lead technical onboarding and implementation from data discovery through production deployment. You will build and troubleshoot connectors, pipelines, integrations, and AI-agent workflows; act as the primary technical contact after deployment; and turn field learnings into reusable implementation playbooks.
Responsibilities
- Lead technical onboarding and implementation through production deployment
- Build, configure, and troubleshoot data connectors, pipelines, and AI-agent workflows
- Work with Forge, Lattice, and Stratum
- Serve as the primary technical contact for accounts after deployment
- Surface product gaps, failure modes, and recurring patterns to engineering
- Develop implementation playbooks
- Support pre-sale scoping, technical discovery, and proof-of-concept builds
Requirements
- 4–8 years of data engineering and direct deployment or customer-facing experience
- Experience in enterprise data environments
- SQL proficiency
- Experience with DuckDB, dbt, or similar tools
- Python proficiency preferred
- Ability to read and write API integrations
- Experience building or deploying AI-agent workflows
- Client-facing experience
Benefits
- Meaningful early-stage equity
- Remote work