Tavus Logo

Tavus

Data Engineer

Reposted 8 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Senior Data Engineer will own the data strategy, managing sourcing, structuring, and optimizing multimodal data to enhance AI models and products.
The summary above was generated by AI

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.

HQ

Tavus San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

Yesterday
Remote or Hybrid
215K-250K Annually
Senior level
215K-250K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own and modernize Upsides analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.
Top Skills: AWSCi/CdDagsterDatabricksDbtSnowflakeTerraform
4 Days Ago
Remote or Hybrid
Richmond, CA, USA
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Deliver data engineering and ETL solutions to support client analytics. Build and maintain data pipelines, optimize SQL, design data architecture (star/snowflake models), create BI reports/dashboards, improve data quality, and support client engagements in regulated environments while learning and growing technical and client-facing skills.
Top Skills: Db2ETLIbm DatastageJavaOracle Business IntelligencePythonQlikviewSnowflakeSpotfireSQLSQL ServerUnix
4 Days Ago
Remote or Hybrid
Richmond, CA, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and maintain data pipelines and architectures, apply advanced analytics to generate client insights, develop BI dashboards, collaborate with stakeholders to solve data challenges, and support managed-services engagements while upholding technical and professional standards.
Top Skills: AWSCdcDatastageDb2ETLGoldengateJavaOracle Business IntelligencePythonQlikviewRedshiftSQL ServerWorkload Scheduler

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account