Engineering Manager, Data

Job summary

Responsibilities

At Cartesia, the quality of our models is inseparable from the quality of our data. As we push the frontier of real-time multimodal AI, we're looking for a leader to own the systems, datasets, and research that make our training data exceptional.

• Lead and grow a high-caliber team of data infrastructure engineers and data-focused researchers, splitting focus between shared infra and dedicated modeling teams.
• Set the technical direction for how Cartesia processes, stores, and serves multimodal data at web scale.
• Drive the creation of SOTA multimodal pre-training datasets — including the annotation models and curation strategies that determine what our models learn.
• Establish a rigorous, empirical approach to data quality: training and evaluating models specifically to understand what makes data valuable, and feeding that back into dataset…
• Partner closely with our modeling and research teams to make sure data work translates directly into better models.

What they're looking for

• Proven management experience, including directly leading a data team of at least 6 people.
• Hands-on familiarity with data infrastructure at scale — processing, storage, and the systems that make large-scale data usable.
• A track record of building and leading data efforts, ideally in the context of a modeling project.

Tech stack

• Databricks