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Tavus is a Series B AI research lab building AI Humans—real-time human simulation models that enable meaningful, face-to-face conversations between people and machines. The company is backed by Sequoia Capital, Y Combinator, and Scale Venture Partners.
As a Solutions Engineer, you'll bridge Sales and Customer Success, working with developers and decision-makers to transform early product excitement into fully realized, production-ready solutions. You'll own the technical implementation journey: architecting solutions tailored to customer needs, debugging API integrations, troubleshooting production issues, and ensuring smooth deployments.
Key responsibilities include:
- Develop deep technical expertise in Tavus's product to support customers at every stage
- Collaborate with customers on solution design, customization, and integration
- Debug API requests and production issues, providing clear, actionable solutions
- Identify patterns in customer issues and work with engineering to fix root causes
- Create developer resources (sample code, documentation, best practices)
- Optimize for near-zero time to resolution by automating and streamlining processes
- Provide technical enablement to enterprise teams on integration and scaling best practices
- Proactively prevent issues before they occur
You'll work with top startups and enterprise companies, helping them ship faster and unlock the full potential of AI Humans. The role demands both technical depth and customer empathy—you'll be "debugging the future" while building trust and long-term partnerships.
REQUIREMENTS:
- Strong software development experience or equivalent hands-on technical background; ability to build, deploy, and debug end-to-end applications
- Proficiency in JavaScript/TypeScript, Python, or similar languages
- Comfortable with APIs, webhooks, and debugging complex technical integrations
- Excellent multitasking: manage multiple clients, projects, and issues simultaneously without dropping anything
- Customer-obsessed mindset with genuine passion for developer experience
- Ability to translate complex technical issues into clear, simple explanations
- Scrappy, solution-driven approach: if something's broken, you fix it or figure out how to
- Bonus: Experience with AI/ML models or video processing APIs
