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Own the full enterprise sales cycle, from prospecting and discovery through technical evaluation, security review, procurement, negotiation, and close. Build pipeline, close complex six-figure deals, expand existing accounts, and manage multi-stakeholder relationships. Partner with technical, research, post-sales, and leadership teams while helping establish qualification, forecasting, deal review, and enterprise sales processes.

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

Own Cartesia’s inbound sales motion by responding rapidly to high-intent leads, conducting discovery calls, qualifying prospects, and routing them to AEs, self-serve, partnerships, or nurture. The role manages inbound channels, CRM hygiene, follow-up, product-usage prospecting, and campaign coordination while sharing customer insights with GTM and Product leadership.

Leads an inbound and outbound sales development team responsible for pipeline and qualified meetings. Sets prospecting strategy, builds inbound qualification processes, coaches and develops representatives, partners with account executives and Growth, owns playbooks and reporting, and hires and ramps new team members. The role also requires engaging technical buyers, improving workflows with AI, and helping shape the company’s early sales function.

Manage the operational backbone of Cartesia’s voice function, including voice production, library health, talent sourcing, vendor logistics, customer voice delivery, and go-to-market enablement. Build lightweight systems and automations, support customer engagements, and contribute to strategy and growth initiatives for TTS, STT, and international markets. The role requires autonomous execution, customer-facing communication, technical fluency, and enthusiasm for voice and audio technology.

Build and scale Cartesia’s systems integrator program by defining partner operating models, certification standards, implementation methodologies, quality controls, enablement, commercial packages, and escalation governance. Lead technical readiness, partner delivery quality, performance reporting, program expansion, and feedback loops across products, ecosystems, and geographies. The role requires strong partner relationships, implementation expertise, commercial judgment, and the ability to establish scalable 0-to-1 operating mechanisms.

Own the full sales cycle for qualified commercial opportunities, including discovery, tailored demos, POCs, negotiation, forecasting, and closing. Manage a high volume of concurrent deals, collaborate with GTM Strategists and Pre-Sales Engineering, transition closed accounts to Post-Sales, and identify expansion opportunities. The role requires selling technical API or infrastructure products to developers and technical buyers in a fast-paced, in-office environment.

Leads Cartesia’s Product Engineering team as a hands-on technical and people manager. Responsibilities include contributing to product and architectural work, coaching and hiring engineers, partnering with Product and Design, improving execution cadence, reviewing designs and code, and owning cross-cutting surfaces such as billing, files, and on-call operations. The role initially supports the Voices product squad and helps scale the engineering organization while building voice AI experiences.

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.