Turo is the world’s largest car sharing marketplace where you can book any car you want, wherever you want it, from a vibrant community of trusted hosts across the US, Canada, France and the UK. Whether you’re flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, guests can take the wheel of the perfect car for any occasion, while hosts can take the wheel of their futures by building an accessible, flexible, and scalable car sharing business from the ground up.

Data is our fuel at Turo. It is ever-more abundant and valuable, but it’s raw material. Harnessed by data scientists and machine learning engineers, it propels Turo on its mission to put the world’s 1.5+ billion cars to better use, delighting our customers with matching the right car for their next adventure from an exceptionally diverse selection, and at the same time helping our marketplace remain safe.

About the team:

In this role, you will be given the chance to work with cutting-edge technologies to build resilient, scalable systems for collecting and analyzing extensive data sets.  You will develop and implement the next generation of our data pipelines to ensure visibility into our business across many different domains.

Furthermore, you are eager to acquire extensive knowledge across multiple different domains (e.g. marketing & marketplace support).  This entails collaborating closely with  stakeholders and teams from various domains to understand the complexities of the domain, including the functionalities of existing tools and the current workflows.

Exceptional communication abilities and meticulous attention to detail are essential for success in this position.

Learn more about our Engineering team here: https://www.beforeyouapply.com/team/engineering-at-turo

What You’ll Do:

• Coach, mentor and grow a data engineers team focusing on specific domains.
• Develop a long term vision for how to leverage data for the specific domains.
• Identify stakeholders’ data needs, define project scope, and select the right implementation to address stakeholder pain points.
• Bridge the gap between the domain requirements and technology during the tool selection process.  Ensure that the chosen technology aligns with domain strategy and vision.
• Maintaining constant communication with stakeholders regarding project progress, blockers, and expected timelines is crucial.
• Provide hands-on technical leadership in designing domain specific data infrastructure.

Your Profile:

• Strong in both written and spoken communication, capable of collaborating effectively with various product groups and key stakeholders.
• Proven track record of delivering impactful projects through collaboration across different teams and organizations.
• Experience in managing and coaching engineers of varying levels of expertise.
• Experience working with data engineering tech stack (Airflow, AWS, Kubernetes, Docker, Redshift, EMR), SQL, and Python.
• 5+ years of development experience and 3+ years of people management experience.
• Past experience working with the specific domain is a plus.

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