Engineering Manager, Data

About the role

Cartesia is on the lookout for an Engineering Manager to spearhead its Data team, which plays a pivotal role in developing systems, datasets, and research that are vital for producing high-quality training data. This position is essential for pushing the boundaries of real-time multimodal AI by ensuring that the data underpinning model performance meets the highest standards. As the Engineering Manager, you will lead a dedicated team that focuses on data infrastructure, pre-training datasets, and data-centric modeling initiatives.

Key facts

What you'll do

• Lead and nurture a dynamic team of data infrastructure engineers and researchers, ensuring a balance between shared resources and specialized modeling tasks.
• Establish and drive the technical vision for the processing, storage, and delivery of multimodal data at a web-scale level for Cartesia.
• Supervise the development of sophisticated multimodal pre-training datasets, incorporating innovative annotation models and curation techniques that significantly impact model learning.
• Adopt a methodical, evidence-based approach to assess data quality, training models to recognize data value and leveraging these insights to inform dataset decisions.
• Work in close collaboration with modeling and research teams to guarantee that data initiatives directly contribute to enhancing model performance.
• Recruit, mentor, and develop engineers and researchers, guiding the team's growth from 6-8 members to around 12 as the demand for data expertise increases.
• Foster a culture of continuous improvement and innovation within the team, encouraging the exploration of new technologies and methodologies.
• Set clear performance metrics and objectives for the team, ensuring alignment with Cartesia's broader goals and vision.

Requirements

• Proven experience in a managerial role, with direct oversight of a data team comprising at least six members.
• Solid understanding of large-scale data infrastructure, including the processes, storage solutions, and systems that enhance data usability.
• A track record of successfully building and leading data initiatives, ideally within the context of modeling projects.
• Strong analytical skills with the ability to interpret complex data and make informed decisions.
• Excellent communication skills, enabling effective collaboration with cross-functional teams.
• A proactive approach to problem-solving and a willingness to adapt to changing priorities.

Nice to have

• Previous experience in modeling, particularly in a data-centric environment.
• Familiarity with generating data for organizations focused on generative modeling.
• Knowledge of multimodal data types, including audio and speech components.

Skills & tools

• Expertise in data infrastructure management
• Proficiency in multimodal data processing techniques
• Experience in dataset curation and management
• Strong capabilities in data quality assessment and evaluation
• Leadership skills with a focus on team development and mentorship

Practical notes

• Cartesia is an E-Verify participant, ensuring compliance with employment eligibility verification.
• Visa sponsorship is available and will be evaluated on a case-by-case basis depending on the specific role and location.
• Employees in the U.S. are offered comprehensive medical, dental, and vision insurance, fully covered for themselves and their families.
• Parental leave policies include 9 weeks for paternity leave and 12 weeks for maternity leave, supporting work-life balance.
• Additional benefits encompass a 401(k) plan, a monthly commuter allowance, flexible paid time off (PTO), and daily meals and snacks provided at the office.
• This position requires on-site presence in San Francisco, fostering collaboration and engagement within the team.

Cartesia is committed to building a diverse and inclusive workplace, and we encourage applicants from all backgrounds to apply. Join us in shaping the future of multimodal AI through exceptional data management and innovation!

About the company

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.