Sonic-3
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About
Sonic-3 is a flagship text-to-speech model by Cartesia, designed for fluid, real-time voice AI experiences. It offers breakthrough naturalness, including the ability to laugh, emote, and express sadness, and speaks in over 40 languages with native voices. Sonic-3 provides context-savvy accuracy, intelligently handling acronyms and initialisms. It boasts ultra-low latency with a time-to-first-audio of 90ms, making interactions seamless and virtually human. The platform supports various applications like concierge, customer support, and gaming agents across industries such as healthcare. It also features curated voice libraries and both instant and professional voice cloning capabilities. Built for developers, Sonic-3 offers API access, SDKs, a playground, and enterprise-grade security with SOC 2 Type II, HIPAA, and PCI Level 1 compliance.
Platform
Features
• enterprise-grade security and compliance (soc 2 type ii, hipaa, pci level 1)
• developer-friendly api, sdks, and playground
• curated voice library and voice changer
• instant and professional voice cloning
• context-savvy accuracy for acronyms and initialisms
• support for over 40 languages with native voices
• ultra-low latency (90ms time-to-first-audio)
• breakthrough naturalness with emotions and laughter
Pricing Plans
Pro
$4.00 / per month, billed yearly• 100K credits for models
• $5 prepaid for agents
• Instant voice cloning
• Commercial Use
Startup
$39.00 / per month, billed yearly• 1.25M credits for models
• $49 prepaid for agents
• Pro voice cloning
• Organizations
Scale
$239.00 / per month, billed yearly• 8M credits for models
• $299 prepaid for agents
• Priority support
• High concurrency limits
Custom
Unknown Price• Custom usage pricing
• Custom concurrency
• Enterprise support via slack
• Enterprise-grade security & compliance
• Priority Dedicated Support via Slack
• Single Sign-On (SSO)
• PCI compliance
• Custom SLAs
• Custom Security Review
• HIPAA compliance
Job Opportunities
Cluster Infrastructure Engineer
Sonic-3 is the only streaming text-to-speech model that laughs, emotes, and pulls you into the conversation with breakthrough naturalness and ultra-low latency.
Experience Requirements:
Strong engineering fundamentals and experience building and operating large-scale distributed systems
Deep familiarity with HPC & GPU cluster management using Kubernetes and Slurm
A blend of developer empathy and raw performance engineering, designing systems and tools that are intuitive to use and fast
Ability to balance principled engineering with the urgency of keeping mission-critical systems alive
Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.) and observability tools (Prometheus, Grafana, etc.)
Other Requirements:
Strong debugging skills— comfortable diagnosing NCCL issues, CUDA errors, and network or driver-level faults.
Experience optimizing large-scale distributed training frameworks such as DeepSpeed, Megatron-LM, or similar
Familiarity with advanced parallelization techniques such as FSDP, context parallelism, or tensor parallelism
Responsibilities:
Design and build large-scale GPU clusters for model training and low-latency inference
Develop automation for provisioning, scaling, and monitoring to ensure clusters are fast, resilient, and self-healing
Collaborate closely with research and product teams to enable distributed training at scale, optimizing for speed, reliability, and utilization
Implement robust observability and alerting systems to monitor GPU health, node stability, and job performance
Diagnose and triage hardware, networking, and distributed training issues across environments, coordinating with provider support as needed
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Product Manager, Voice Agents
Sonic-3 is the only streaming text-to-speech model that laughs, emotes, and pulls you into the conversation with breakthrough naturalness and ultra-low latency.
Benefits:
Lunch, dinner and snacks at the office
Fully covered medical, dental, and vision insurance for employees
401(k)
Relocation and immigration support
Your own personal Yoshi
Education Requirements:
Degree in Computer Science, Engineering, or related technical field, or equivalent professional experience
Experience Requirements:
8+ years of product management experience for highly technical products, preferably in AI/ML or developer tools
Proven track record with shipping products that developers and enterprises rely on
Strong technical communication skills with ability to explain complex AI concepts to both technical and non technical audiences
Experience working directly with customers to gather requirements and influence product development
Understanding of AI model evaluation, testing methodologies, and performance metrics
Other Requirements:
Direct experience conversational AI products
Experience building and leading high-performing product teams in fast-growing environments
Background in AI/ML product development
Experience building product management 0 to 1 at an early stage startup (Series A or B)
Responsibilities:
Build and optimize enterprise-grade voice AI agents powered by our state-of-the-art audio models across diverse use cases
Drive product excellence through rigorous evaluation frameworks and testing methodologies for both audio models and voice agents, creating benchmarks for performance, naturalness, and user satisfaction
Engage deeply with customers and design partners across all organizational levels to discover requirements, deliver compelling demonstrations, and secure strategic partnerships
Execute our agent product roadmap in close alignment with our GTM team, ensuring customer feedback directly influences development priorities and market expansion strategies
Establish voice AI standards by creating comprehensive best practices, implementation guides, and training materials for customers building voice experiences
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Ratings & Reviews
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