About the job
About Kavak
Kavak is the first unicorn from Mexico, operating in several countries and built on an AI-first business model. The company is reshaping the used car market and improving the experience for millions across Latin America. Kavak has earned top ratings in the region and recently secured a $300M investment round led by Andreessen Horowitz, one of the largest in Latin America. With this momentum, Kavak is expanding its team to advance AI-driven projects and build the next chapter of its product.
AI is at the core of Kavak’s operations. The team applies AI to areas like conversational commerce, generative marketing, and systems that extract insights from millions of interactions. Kavak values ambition, initiative, and adaptability in a high-growth setting.
What Sets Kavak Talent Apart
- Deliver Impact: Focus on initiatives that drive measurable results and raise standards through technology and data.
- Engage Fast: Tackle challenges and opportunities proactively, make timely decisions, and adapt quickly while maintaining quality.
- Engage with Purpose: Take full ownership of work and align decisions with the company’s vision and values.
- Play to Win Together: Put team success ahead of individual achievements.
Role Overview: Senior AI Data Engineer
In just six months, Kavak built a Databricks-based data platform with a data mesh architecture that surpassed even Databricks' own expectations. This platform serves as the intelligence backbone for the entire organization, supporting bots, human agents, and teams in Mexico, Turkey, and the Middle East. It is central to Kavak's AI strategy.
Kavak is looking for a Senior AI Data Engineer to help take this platform to the next level. The role calls for a technical expert with a strong product mindset, someone who understands the business context, builds the datasets that drive it, and becomes a key resource for data architecture across the company.
This position is not about processing tickets. Kavak seeks someone eager to understand the business, identify challenges, and design data solutions that make a real difference.
Location
Mexico City

