Customer Success Manager

Cartesia • San Francisco, CA

31d • Onsite

About The Position

Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. Cartesia is seeking a customer-obsessed Customer Success Manager member to support our growing base of voice AI customers. You’ll work closely with users to help them onboard successfully, understand best practices, troubleshoot challenges, and adopt new features. This is a great opportunity for someone early in their career who’s excited to learn, work cross-functionally, and support innovative teams building with cutting-edge voice AI technology. In this role, you will help strengthen customer relationships, gather insights that influence our product direction, and contribute to the foundational processes that will scale with our team as we grow.

Requirements

• 4+ years of experience in enterprise customer success, solutions, onboarding, or a related role ideally in a fast-paced startup environment.
• Comfort working with technical products (APIs, developer tools, or AI products a plus), with the ability to learn quickly.
• Strong customer empathy and communication skills; you enjoy helping others succeed.
• Interest in building lightweight processes and improving how teams work, even if you haven’t done full 0→1 before.
• Highly organized, resourceful, and proactive — you take initiative and follow through.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Curiosity about voice AI and enthusiasm for being part of a high-velocity, hands-on team.

Nice To Haves

• Previous experience in banking or management consulting
• Experience creating documentation, tutorials, or customer education materials.
• Exposure to usage-based SaaS products.
• Background in AI/ML, developer tools, or enterprise software.
• Technical coursework or degree (Computer Science, Engineering, Mathematics, etc.)

Responsibilities

• Support customers across the post-sales journey — onboarding, activation, and ongoing engagement — to ensure they see value quickly and consistently.
• Serve as a trusted point of contact for day-to-day questions, troubleshooting, and guidance.
• Help create and maintain customer-facing resources such as documentation, FAQs, prompting guides, and onboarding materials.
• Identify common customer challenges and share insights with Product and Engineering to improve workflows and reduce friction.
• Track account health signals and help flag risks and opportunities for expansion to the broader GTM team.
• Assist with internal tooling, playbooks, and lightweight processes that improve the customer experience.
• Partner with the team supporting strategic accounts to understand use cases and help proactively resolve blockers.
• Contribute to product feedback loops by documenting feature requests, surfacing patterns, and helping validate solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees