Tech Lead Manager, Data Infrastructure

Cartesia • San Francisco, CA

1d • $250,000 - $375,000 • Onsite

About The Position

Data is the lifeblood of our models, and we are looking for a TLM, Data Infrastructure to own the strategy and execution for all data at Cartesia. This is a critical leadership role, where you will be responsible for building and managing the datasets that power our cutting-edge research. You will lead a talented team of data engineers and specialists to acquire, process, and curate massive multimodal datasets. Your vision will directly shape the capabilities and quality of our foundational models.

Requirements

• Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.
• Working knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns.
• Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.
• Track record leading and growing a high-impact engineering team in a fast-moving, research-driven environment.
• Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how they’re trained and inference.

Responsibilities

• Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.
• Lead, mentor, and eventually manage a team of engineers building dataset and ML data infrastructure.
• Design and operate scalable, high-throughput data pipelines for text, audio, and video — covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.
• Partner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines).
• Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.
• Identify and source novel datasets; manage relationships and budgets with external data vendors and partners.

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.
• Take as much time as you need to recharge your batteries.
• Lunch, dinner and plenty of snacks, provided daily.

What This Job Offers

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