Data Operations Manager • Mid-Level

Who you are

You have a strong background in data operations and management, with experience in building and optimizing data pipelines. You understand the nuances of data quality and sourcing strategies, and you can effectively communicate technical requirements to cross-functional teams. You are skilled in evaluating suppliers and negotiating agreements to ensure high-quality data partnerships. Your knowledge of the broader data ecosystem allows you to identify gaps and innovate effectively. You thrive in collaborative environments and are passionate about advancing AI research through data-driven insights.

What you'll do

In this role, you will develop a deep understanding of Reflection’s research, product, and business roadmap to derive data needs and sourcing strategies. You will work closely with researchers to define quality standards and orchestrate partnerships that meet these requirements. Your leadership will maximize research velocity while maintaining data quality. You will manage partnerships by evaluating suppliers, negotiating agreements, and verifying deliverables. Additionally, you will leverage your technical expertise to understand what constitutes high-quality training data and how it impacts AI model performance.

What we offer

Reflection provides a supportive work environment with a mission-driven culture focused on building open superintelligence. We offer fully paid parental leave for all new parents, including adoptive and surrogate journeys, and financial support for family planning. Our benefits include paid time off, relocation support, and daily meals to optimize your time. We encourage team connections through regular off-sites and celebrations, fostering a collaborative atmosphere where innovation thrives.