Sr. Manager, Data Engineering

Carrot offers the opportunity to do meaningful work in service of a deeply human mission.

Highlights include:

A mission-driven company focused on expanding access to fertility and family-forming care globally.

A high-growth environment where leaders are empowered to shape strategy and drive impact.

Competitive compensation, equity, and comprehensive benefits.

Flexible Time Off and a culture that actively encourages employees to recharge.

Comprehensive parental leave and family-forming benefits.

A collaborative, inclusive, and values-driven culture.

The opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide.

Compensation:

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $170,000-$210,000. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience.

Fraud and Security Notice: Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com

A Note on AI

At Carrot, we believe AI can help us work smarter, move faster, and create more meaningful experiences for our members, customers, and each other. While not every role requires deep technical AI expertise, we value people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work.

For some roles, AI fluency is a core requirement—and we'll call that out clearly in the qualifications. For everyone else, we're looking for people who embrace new ways of working, use AI responsibly to improve quality and efficiency, and continue to learn as the technology evolves.