Jobs at Cartesia

Support four co-founders by managing complex calendars, travel, expenses, confidential information, and competing priorities. Build operating rhythms for leadership meetings, annual planning, OKRs, reviews, and board processes. Prepare agendas and materials, track decisions and follow-ups, coordinate cross-functional stakeholders, and represent founders with investors, partners, and candidates. The role requires high autonomy, sound judgment, discretion, strong communication, and the ability to create structure in an ambiguous, fast-moving environment.

Leads and develops a team of 7+ engineers while owning technical direction, roadmap, execution, architecture, design reviews, production incidents, scalability, reliability, and engineering quality. Partners with Product, Research, and other teams to align priorities and deliver complex technical projects. Requires strong people leadership, technical judgment, distributed systems experience, and cross-functional decision-making. Experience scaling teams and backgrounds in machine learning, AI infrastructure, or generative models are preferred.

Manage the operational backbone of Cartesia’s Voice function, supporting voice production, library health, talent sourcing, vendor logistics, and customer voice delivery. Build lightweight systems and automations, manage customer-facing engagements, enable go-to-market teams, and support strategy, events, marketing initiatives, and international growth projects. The role requires autonomous execution, executive communication, semi-technical system-building skills, and enthusiasm for AI voice technology.

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.

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

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.

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.

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.