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Cartesia

Develops foundation models with subquadratic architectures

Technical Account Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 6 years of experience in technical account management, customer success, solutions engineering, or a related customer-facing technical role at a high-growth business-to-business company.
  • Ability to read application programming interface documentation, understand system architecture, triage integration issues, and communicate effectively with engineers.
  • Ability to manage a complex, multi-stakeholder book of accounts simultaneously and prioritize effectively.
  • Ability to run complex implementations end to end and keep multiple accounts progressing.
  • Ability to scope problems, form clear problem statements, route issues correctly, and drive them to resolution.
  • Ability to communicate technical substance effectively with engineers and senior executives.
  • Commercial awareness to connect customer health with revenue growth and drive consumption, retention, and expansion.
  • High ownership and autonomy, including making decisions independently and being accountable for customer outcomes.
  • Fluency with artificial intelligence agents and tools to manage account load, automate status tracking, and focus on judgment-intensive work.

Responsibilities

  • Own the full post-sale technical relationship for enterprise accounts, from pre-go-live scoping through post-launch stabilization and expansion.
  • Drive customers to go-live by defining success criteria with senior technical stakeholders, designing customer-specific implementation strategies, running daily standups and 30/60/90 onboarding reviews, and managing rollouts end to end.
  • Triage customer technical issues independently, distinguish product bugs from integration failures and customer-side misconfigurations, and route issues to the appropriate internal owner.
  • Lead forward-deployed engineers through implementation, set direction, manage scope, and act as the primary technical counterpart for customers.
  • Translate customer needs into clear internal documentation, including bug reports, contextualized feature requests, and scope-change documents.
  • Monitor account health, identify at-risk customers, and drive consumption and usage growth across the account portfolio.
  • Surface expansion opportunities to account managers with specific context, flag accounts ready for upsell, build the handoff, and understand the revenue connection between customer health and growth.
  • Build the technical account management playbook through execution, including onboarding frameworks, escalation paths, go-live checklists, and technical champion management.
  • Partner with Product and Engineering as the voice of the customer, turn customer pain points into platform improvements, and close the feedback loop.

Desired Qualifications

  • Experience in voice artificial intelligence, real-time audio/video, or telephony infrastructure.
  • Experience in which technical account management was a revenue-driving function rather than a support function.
  • Infrastructure, developer tools, or application-programming-interface-first product experience.
  • Experience scaling from Series A/B through growth stage and adapting the customer motion as the business evolves.

About the Company

Cartesia

Develops foundation models with subquadratic architectures

Cartesia.ai develops advanced AI foundation models using new subquadratic architectures and state space models. Its models are designed as underlying systems that can be adapted for many applications and are released in part under open-source licenses (e.g., Apache 2.0), with licensing, partnerships, and consulting as revenue streams. The company’s products work by providing large, adaptable AI models that clients can license or customize for specific needs, enabling faster processing and efficient inference compared to traditional designs. Cartesia differentiates itself from competitors by using subquadratic, state space approaches instead of relying mainly on standard Transformer models, and by combining open-source releases with enterprise partnerships. The goal is to help businesses and research institutions access powerful, adaptable AI capabilities while building a community around its technology and sustaining revenue through licensing and services.

Company size
51-200
Company stage
Late Stage VC
Total funding
$191M
Headquarters
San Francisco, CA
Founded
2023

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