/roles — ROLE_31
Forward Deployed Engineer
Enterprise AI Data Agents
The role
- COMP
- $160K - $230K
- EQUITY
- Competitive; Standard 4 year vest with 1 year cliff
- LOCATION
- New York
- WORKPLACE
- Hybrid
- EXPERIENCE
- 5+ years
- VISA
- None
- STACK
- Snowflake, AWS, Python, Docker, Airflow, CI/CD, Databricks
- INDUSTRY
- Software Development, Data, Enterprise, AI
The company
Enterprise-AI company deploying data agents that automate engineering, ops, and analysis workflows on customers' existing cloud stacks.
- STAGE
- Series A-stage
- FUNDING
- $5M raised
- TEAM
- ~25 people
- FOUNDED
- 2024
- BACKING
- VC-backed
JD — the work
About the role
Bridge an autonomous data-agent product and the messy reality of enterprise data environments: embed with the highest-value clients, architect real integrations across Snowflake, AWS, and Databricks, and operate with founding-engineer autonomy inside customer environments.
What you'll do
- Own end-to-end enterprise deployment: configure the platform, design workflow blueprints, integrate with existing data infrastructure
- Debug live during engagements across Docker, AWS, Snowflake, Python, APIs
- Turn client friction into concrete engineering input — tickets, productized patterns, prototypes
- Support pre-sales with tailored technical demos and POCs
- Become the trusted technical point of contact for major accounts
What they're looking for
- Strong data-engineering foundations across cloud warehouses and pipelines
- Customer-facing composure with real-time problem solving
- Field-to-product instinct: knowing what should be productized