Engineering Manager, Data
*HQ - San Francisco, CA · San Francisco, California, United States
- Pay
- Pay not listedSimilar roles state $153K–$225K
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Research › Data — team source
Department: Research › Data
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
Read the full posting
What you’ll work on
Full postingAt Cartesia, the quality of our models is inseparable from the quality of our data.
You'll lead our Data team, responsible for three tightly connected areas:
Lead and grow a team of data infrastructure engineers and data researchers
Set technical direction for processing, storing, and serving multimodal data at web scale
Drive creation of SOTA multimodal pre-training datasets and curation strategies
Train and evaluate models to measure what makes data valuable
Partner with modeling and research teams so data work improves models
From the employer’s posting
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:
Lead and grow a high-caliber team of data infrastructure engineers and data-focused researchers
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
training and evaluating models specifically to understand what makes data valuable
Partner closely with our modeling and research teams to make sure data work translates directly into better models.
What you’ll bring
All qualificationsCore experience
- Proven management experience leading a data team of at least 6 people
- Hands-on familiarity with data infrastructure at scale
- Track record of building and leading data efforts, ideally in a modeling project
Qualification wording
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.
Tools in this posting
- Databricks
Source — Tool mentions in context
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. About the Role
About Cartesia
Our mission is to architect AI that learns from and interacts with the world like humans do.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 22, 2026 · 99 days ago
- Recorded sightings
- 56
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the RoleAt 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.
Your Impact
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.
What You Bring
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).
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
More Details🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
Our Benefits (US Employees Only)💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🏦 401(k)
🚆 Commuter Allowance 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.
🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
🦖 Your own personal Yoshi
Our Commitment to Equal Opportunity
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.