Jobs at Cartesia

Embed with enterprise customers to design, build, and deploy production-grade voice AI systems. Own end-to-end deployments across cloud, VPC, and on-prem environments, troubleshoot integrations and performance, prototype scalable solutions, and translate customer needs into platform improvements.

Provide technical, post-sales support for Cartesia's AI platform: triage and resolve API/SDK/integration issues, reproduce bugs, write runbooks and guides, participate in incident response and on-call rotations, and collaborate with product and engineering to improve reliability and customer experience.

Lead and grow a data team responsible for web-scale multimodal data infrastructure, SOTA pre-training datasets, and data-centric modeling; set technical direction, partner with research, and hire and mentor engineers and researchers.

The GTM Associate will drive outbound pipeline generation, develop account strategies for Fortune 500s, and contribute to GTM strategy while exceeding targets.

Identify, engage, screen, and manage world-class technical candidates for research, ML engineering, platform and product roles. Build talent maps and pipelines using academic conferences, publications, open-source communities and creative sourcing channels. Craft personalized outreach, deliver strong candidate experience, and partner with recruiting and hiring managers on strategic hiring initiatives.

Build low-latency, scalable model inference and serving infrastructure for SSM foundation models. Translate research into production, develop high-parallel data processing and evaluation pipelines, and ensure performance, reliability, and observability for large-scale distributed systems.

Design and build low-latency, scalable model inference and serving stacks, data processing and evaluation infrastructure, and translate research into production. Collaborate with research and product teams, deliver high-performance distributed systems, and provide technical leadership to ship ML platform features.

Own post-sales for a large portfolio of startup and SMB customers: drive onboarding, product adoption, retention and expansion. Build scalable onboarding, education, and lifecycle programs, monitor customer health, create playbooks and enablement content, and partner with Sales, Product, Engineering, and Marketing to improve the customer journey and product based on feedback. Use automation and AI to scale operations.

This role involves leading data strategy and managing a team to build and maintain multimodal datasets, ensuring data quality and pipeline efficiency.

As a Forward Deployed Engineer, you'll lead customer deployments and translate AI solutions into high-performance systems, with autonomy in crafting these solutions.

Manage office operations, internal events, vendor and budget management, and light executive support. Lead office searches, lease negotiation, design/buildout, onboarding logistics, and stand up new international hubs.

Partner with research and customers to identify model failures, design and maintain evals, source and pipeline high-quality human data, own data quality end-to-end, and drive commercial impact by enabling GTM and revenue growth.

As a Researcher, you will focus on advancing post-training methods and systems for multimodal models, including preference optimization and evaluation frameworks.

Embed with enterprise customers to design, build, and deploy production-grade voice AI systems. Own end-to-end deployments across cloud, VPC, and on-prem environments, resolve integration and performance issues, prototype repeatable solutions, and translate customer signal into product improvements.

Conduct research in neural network architecture design for advanced AI models, focusing on state-of-the-art architectures and their deployment across various environments.

As Evaluations Lead, you will design evaluation frameworks for AI models, develop metrics and studies, and ensure assessment of intelligent behavior nuances.

This role involves conducting research on innovative neural network architectures like state space models and transformers, balancing efficiency and adaptability, and collaborating with teams to apply novel designs to real-world applications.

The Software Engineer, Agents will build and maintain the backend for voice agents, focusing on distributed systems, reliability, and developer experience. Responsibilities include taking projects from concept to production, making architectural decisions, and enhancing the developer interface for users.

The Strategic Partnerships Manager will focus on developing significant relationships with enterprise tech partners to drive revenue growth and success for Cartesia through various initiatives and strategic planning.

Design, scale, and operate a global human-in-the-loop evaluation workforce. Own hiring pipelines, vendor strategy, workforce planning, QA, throughput and SLA tracking, inter-rater reliability, escalation and retraining workflows, and partner with product, engineering, and data teams to enable large-scale evaluation and clean data production.