Engineering Manager, Data

Cartesia • San Francisco, CA

22d • $250,000 - $375,000 • Onsite

About The Position

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.

You'll lead our Data team, responsible for three tightly connected areas:
Data infrastructure — web-scale processing and storage that keeps petabytes of multimodal data flowing reliably to the teams that depend on it.
State-of-the-art pre-training datasets — building the multimodal annotation models that understand who said what, when, and how, and curating the data mixes that shape model behavior.
Data-centric modeling — training and evaluating models to understand what actually makes data good, and turning those insights into better datasets.

You'll start by managing a team of 6–8 spanning core data infrastructure and individual modeling efforts, and grow it toward ~12 as our ambitions scale. This is a role for someone who has done this before: built and led a data team, shipped data at the scale modern models demand, and knows the difference between infrastructure that works in a demo and infrastructure that works at web scale.

Requirements

• 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.

Nice To Haves

• Previous modeling experience
• Experience building data for a generative modeling organization.
• Familiarity with multimodal data (audio, speech, and beyond).

Responsibilities

• 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 decisions.
• Partner closely with our modeling and research teams to make sure data work translates directly into better models.
• Hire, mentor, and develop engineers and researchers as the team scales from a handful of people to a full organization.

Benefits

• Competitive base salary alongside attractive equity package.
• Fully covered medical insurance along with dental and vision for you and your family.
• 9 weeks paternity & 12 weeks maternity leave
• 401(k)
• A monthly stipend to help you get to and from the office.
• Flexible PTO Take as much time as you need to recharge your batteries.
• Lunch, dinner and plenty of snacks, provided daily.
• Your own personal Yoshi

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed