Head of Forward Deployed Engineering

10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity

Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows.

Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)

Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs

In this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives.

You’ll lead a team that will own quality in the end-to-end data pipeline

This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform.

ou will design innovative ML approaches t

o enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes.

Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers.