Director Data & AI Platform Engineer
How you’ll make an impact
The role is a strong fit for someone with proven experience managing data pipelines at-scale who enjoys pairing with Product and Data Science to build machine learning feedback loops that will be exposed by traditional REST APIs and AI native APIs.
Your role in action:
- Lead the design and build our AI native travel search APIs by building machine learning feedback loops fronted by MCP servers.
- Create repeatable and cost effective patterns for deploying and running data pipelines at-scale.
- Collaborate with Data Science on designing data pipelines that simplify training models and bringing models to production.
- Act as a mentor and technical partner for teams, helping engineers build confidence with new tooling and delivery processes.
- Balance hands-on technical contribution with the ability to influence, communicate and drive change across the organization.
Requirements
- Strong experience designing and managing data pipelines with Kafka, Iceberg, and Spark in a Kubernetes environment.
- Good working knowledge of AWS, including how to build secure, scalable and automated cloud environments.
- Comfortable working with across multiple teams to identify and implement working solutions.
- Experience leading change across engineering teams, including adoption of new tools, processes and standards.
- Hands-on experience developing MCPs.
Benefits
We offer a comprehensive benefit program that includes medical, dental, vision, employer paid Disability and Basic Life Insurance, Voluntary life options, a competitive 401(k) match, as well as many other voluntary benefits to fit your specific needs.
We make health and wellness a priority and offer a generous paid time off policy, hybrid working model, as well as contributing to our communities with an annual volunteer day off.
We also offer a New Child leave policy, where the birthing parent receives 16 weeks of paid time off, and the non-birthing parent receives 8.