Tavus

Analytics Engineer

• Own data pipelines: Design, build, and maintain reliable ETL/ELT pipelines to ensure the right data gets to the right place, fast and accurately.
• Build the data foundation: Architect resilient, maintainable dbt models and schemas that serve as the trusted source of truth across the business.
• Shape the modern data stack: Help evolve our tools, infrastructure, and architecture to meet the needs of a rapidly scaling AI startup.
• Bridge science and business: Partner with Leadership, growth, and GTM teams to proactively build datasets and models that unlock experiments, insights, and product features.
• Improve quality and discoverability: Establish best practices for data validation, governance, documentation, and metric definitions to drive consistency and trust.
• Enable self-service: Create intuitive data products and tools that empower non-technical teams to answer questions and make decisions independently.
• Push the frontier: Experiment with emerging AI/ML and data tools, integrating them into our workflows and shaping the future of data at Tavus.

Developer Relations

• Tavus is a research lab building AI Humans that see, hear, and respond in real-time
• Support and partner with developers to create compelling experiences on Tavus
• Build docs, guides, sample apps, and tools to streamline developer experience
• Troubleshoot, fix root issues, and tinker with the platform to reduce reactive support
• Work cross-functionally with engineering, product, and GTM to improve the platform
• Inspire and unblock builders, and help them launch products using Tavus

Analytics Engineer

Developer Experience Engineer