Job Description
Are you ready to lead a high-impact team empowering next generation machine learning infrastructure? At Signifyd, we’re looking for an Engineering Manager to join our ML Platform team. In this role, you will have the opportunity to shape the future of how machine learning models are trained and deployed, to develop next generation feature engineering, and to collaborate with data science on bringing state of the art techniques into production, all in a scalable, cost efficient manner. If you are passionate about driving excellence in applying machine learning at scale, and passionate about making the world a safer place to do business, this is your opportunity to make a difference.
We’re seeking candidates passionate about technology, leadership, and innovation. Ideal qualifications include:
#LI-Remote
Benefits in our US offices:
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
USA Base Salary Pay Range$200,000—$230,000 USD
Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores. It simplifies fraud detection through a financial guarantee, allowing businesses to increase sales while reducing fraud losses. It was founded based on the belief that e-commerce businesses should be able to grow without fear of fraud. The solution solves the challenges that growing e-commerce businesses persistently face: billions of dollars lost in chargebacks, customer dissatisfaction from mistaken declines, and operational costs due to tedious, manual transaction investigations. Launched in 2011, Signifyd is used by multiple companies on the Fortune 1000 and Internet Retailer Top 500 lists.
