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Cartesia

Develops foundation models with subquadratic architectures

Engineering Manager - Infrastructure

Engineering LeadershipUpdated on Nov 11
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience managing and developing high-performing engineering teams, including coaching, performance management, and career growth.
  • Strong technical depth and engineering judgment, with the ability to earn credibility with experienced engineers and engage deeply in architecture and technical decisions.
  • A track record of leading teams to deliver complex technical projects in fast-moving, ambiguous environments.
  • Strong ownership and prioritization skills, with the ability to make difficult tradeoffs and balance near-term execution with longer-term investments.
  • Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
  • Strong cross-functional leadership and the ability to align stakeholders around technical decisions and priorities.

Responsibilities

  • Build, lead, and develop a high-performing engineering team through hiring, coaching, performance management, and career development.
  • Own the team's roadmap, decisions, and outcomes, setting clear priorities and driving a high and predictable shipping cadence.
  • Provide technical leadership across architecture, design reviews, complex technical problems, and production incidents.
  • Develop a deep understanding of the team's systems and technical tradeoffs to challenge assumptions, make sound decisions, and unblock the team.
  • Partner closely with Product, Research, and other teams to set direction and deliver against company priorities.
  • Ensure the systems the team owns scale ahead of the business while maintaining a high bar for performance, reliability, and engineering quality.

Desired Qualifications

  • Experience building or scaling engineering teams through periods of rapid growth or organizational change.
  • Background in machine learning, AI infrastructure, or generative models.

About the Company

Cartesia

Develops foundation models with subquadratic architectures

Cartesia.ai develops advanced AI foundation models using new subquadratic architectures and state space models. Its models are designed as underlying systems that can be adapted for many applications and are released in part under open-source licenses (e.g., Apache 2.0), with licensing, partnerships, and consulting as revenue streams. The companyโ€™s products work by providing large, adaptable AI models that clients can license or customize for specific needs, enabling faster processing and efficient inference compared to traditional designs. Cartesia differentiates itself from competitors by using subquadratic, state space approaches instead of relying mainly on standard Transformer models, and by combining open-source releases with enterprise partnerships. The goal is to help businesses and research institutions access powerful, adaptable AI capabilities while building a community around its technology and sustaining revenue through licensing and services.

Company size
51-200
Company stage
Late Stage VC
Total funding
$191M
Headquarters
San Francisco, CA
Founded
2023

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