Jobs at Cartesia

The Software Engineer, Product will build and scale platform infrastructure for Cartesia's voice AI products, focusing on API and conversational AI systems.

As an AI-native Software Engineer, you will optimize developer experience and create tools for AI coding to enhance efficiency at Cartesia.

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

The Design Engineer will enhance web surfaces at Cartesia, focusing on design systems, UI implementation, and ensuring high performance and aesthetics.

Lead a new 0->1 product initiative leveraging foundation models, overseeing strategy, customer discovery, and cross-functional alignment, while reporting to the Head of Product.

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.

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

Responsible for full-cycle recruiting for various roles, collaborating with hiring managers, maintaining candidate pipelines, and improving hiring processes.

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.

Own post-sale technical relationships for India enterprise accounts: drive go-live, triage integrations, lead FDEs through implementation, monitor account health, surface expansion opportunities, and provide India-specific product feedback to HQ.

As a Machine Learning Engineer, you will design large-scale datasets, evaluate speech models, implement data generation techniques, and ensure model performance across multiple languages.

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.

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.

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.

The International Growth Lead will drive international market strategies, enhance product positioning, and collaborate with sales and product teams to identify growth opportunities.

Lead full-cycle recruiting for technical roles, collaborate with hiring managers, manage talent pipelines, and enhance recruitment processes and employer branding.

As an Account Executive, you will manage the full sales cycle, drive pipeline generation, and build relationships with mid-market accounts while collaborating with cross-functional teams.