Serval is the AI-native ESM that automates employee requests, onboarding/offboarding, just-in-time access, and more. Backed by General Catalyst, Sequoia and Redpoint.
About the role
As a Data Engineer at Serval, you'll be our first dedicated data hire, which means you'll own the entire data stack from day one and build the data function that serves the whole business. Right now our data lives across many systems for many teams: in-product, CRM, marketing, billing, support, finance, and more.
What they're looking for
- 5+ years of experience in data engineering and business analytics, with hands-on experience building and maintaining data warehouses and pipelines
- Expert SQL, including hands-on experience with PostgreSQL, and strong Python for pipeline development, scripting, and tooling
- Experience standing up a modern data warehouse or lakehouse from scratch (Snowflake, Databricks, or comparable) and building the ETL/ELT pipelines transform data into usable production databases using a modern stack (e.g.m Fivetran, DBT)
- Hands-on experience with AWS and infrastructure as code (Terraform) for managing cloud data infrastructure
- Track record of owning data projects end to end and exercising sound judgment independently, ideally as an early or first data hire
- Strong product intuition and business curiosity: you can translate business questions into clean, usable data models, know what's worth measuring, and collaborate with a wide variety of technical & non-technical stakeholders
More about this role
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end — replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
We’re backed by leading investors including...
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