Why This Job is Featured on The SaaS Jobs
This Data Engineer role stands out in the SaaS ecosystem because it sits at the intersection of product data infrastructure and applied AI, where data quality directly shapes customer-facing capabilities. With Tavus described as a Series A company building multimodal AI experiences, the work reflects a common SaaS inflection point: turning early technical breakthroughs into repeatable, scalable systems that can support production workloads.
From a SaaS career perspective, the remit goes beyond maintaining pipelines and leans into end-to-end data strategy, including sourcing, structuring, and operationalizing datasets. That combination builds durable leverage for future roles across data engineering, analytics engineering, and ML platform work in SaaS, where reliability, governance, and iteration speed must coexist. Experience with multimodal data and labeling workflows also maps to a growing set of SaaS products that embed AI features and require new data operations patterns.
This position is best suited to professionals who prefer ambiguous problem spaces, enjoy defining standards where few exist, and are comfortable pairing hands-on implementation with strategic decision-making. It will likely appeal to candidates who want their work to influence model performance and product outcomes, not only internal reporting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Senior Data Engineer
About Us
At Tavus, we're building the human layer of AI. Our mission is to make human-AI
interaction as natural as face-to-face interaction, enabling the human touch where it has
been previously unscalable. We achieve this through pioneering research in multi-modal AI
models for human perception and understanding, combined with state-of-the-art human
avatar rendering and communication models. Our models power everything from text-to-
video AI avatars to real-time conversational video experiences across industries like
healthcare, recruiting, sales, education, and more. By enabling AI to see, hear, and
communicate with human-like authenticity, we're creating the foundation for the next
generation of AI employees, assistants, and companions.
We're a Series A company backed by top investors, including Sequoia, Y Combinator, and
Scale VC. Join us in driving the future of human-AI interaction.
The Role
Data is the foundation of everything we build. We’re looking for a Senior Data Engineer who
goes beyond pipelines and cleaning datasets. You’ll own our entire data strategy, from
sourcing and curating to structuring and optimizing, ensuring our models and products are
powered by the highest-quality data possible.
Your Mission
• Be a data visionary, anticipating future data needs
• Influence AI model training through high-quality data
• Own data end-to-end: sourcing, structuring, scaling
• Source and curate multimodal data (text, video, images)
• Master video data challenges for ML training
• Optimize labeling and automation workflows
• Unlock value from internal platform data
• Balance speed with precision
What We’re Looking For
• Extreme ownership of data strategy
• Strategic, ML-first mindset
• Experience with LLMs and multimodal datasets
• Strong automation skills
• Strong Python, SQL, and large-scale data processing experience
• Ability to define best practices in new problem spaces
Benefits
Flexible work schedule, unlimited PTO, competitive healthcare and gear stipends, and a
collaborative team culture. Tavus is a place to learn, drive impact, and grow alongside a
team you love.
We are not looking for cultural fits — we are looking for culture creators. Diversity is at the
core of how we hire, communicate, and work.
