📍 Location: London, UK | San Francisco, CA

Canopy is building real-time voice and avatar models that bring computers to life.

About the role

You will lead the execution of post-training human data that powers all our models. You will design and run scalable data pipelines and evaluation loops to build out one of the highest-fidelity human datasets in the world.

We are looking for an executor that thrives in complex operations, can coordinate large teams, and above all someone who is strongly opinionated. You will partner daily with ML research, applied engineering, and external vendors/trainers/actors to run high-throughput processes that measurably move model outcomes. This role is a strong fit for someone with a consulting ****or investment banking background.

What you'll do

• Deeply understand the end-user experience, and what kinds of data mixes are required for creating the highest quality models.
• Translate research needs into efficient, scalable data processes at high velocity.
• Manage a distributed network of data contributors, overseeing sourcing, data generation and evals.
• Build out a world-class data team that executes like no other. This role sits at the heart of our company, so we care deeply about it and will throw resources at it without thinking twice.
• Partner closely with engineering on data ETL, Python scripting for data generation and processing, creating dashboards for traceability, etc.
• Manage legal and financial operations behind usage rights and royalties of data contracts, and co-ordinating this with our lawyers.
• Lead relationships with data providers for multi-million $ contracts that are the engine behind making state-of-the-art generative models.

You might be a fit if

• You have 2+ years experience in high-intensity operations with clear ownership over outcomes.
• You have a proven ability to build and manage teams: hiring, setting clear expectations, having a great world model of how processes come together