Jobs at Cartesia

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.

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.

The Technical Account Manager will manage the technical relationship with enterprise customers, drive successful product launches, troubleshoot technical issues, and identify expansion opportunities.

The Product Manager, Infrastructure will own the platform for APIs and SDKs, translating enterprise signals into product direction and coordinating technical reviews and sales relations.

Design and build low latency, scalable model inference stacks for foundation models. Collaborate with research and product teams for robust infrastructure.

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

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.

Design and build large multilingual datasets, run controlled experiments, evaluate speech models via annotation and automated metrics, implement data-steering and automated quality-control systems, and partner with product teams to support key languages and markets.

The role entails full-cycle recruiting in India, focusing on tech, go-to-market, and business teams. Responsibilities include sourcing, managing interview processes, and enhancing candidate experience, while ensuring alignment with the company's goals and values.

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.

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.

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.

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.

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.