Jobs at Signifyd

The role involves developing sales strategies, managing sales cycles, collaborating with teams, and establishing partnerships with large brands in e-commerce. It requires a consultative approach to address client needs and achieve revenue goals.

Manage a portfolio of high-value accounts to drive retention, net retention, and expansion. Serve as trusted advisor on fraud, e-commerce, and payments; conduct onsite visits; lead renewals and expansions; deliver business reviews; resolve issues via cross-functional collaboration; represent Signifyd at events and optimize customer outcomes.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

The Machine Learning Engineer II builds production ML models to detect fraud, collaborates on engineering teams, and improves the commerce protection platform.

Manage the success of a portfolio of enterprise customers, ensuring satisfaction, retention, and onboarding. Collaborate cross-functionally, track metrics, and drive expansion.

As a Senior Solutions Architect, you will design API solutions for strategic merchants, lead technical presentations, and collaborate with internal teams to address fraud and data challenges.

Lead end-to-end ML projects for fraud detection: develop, deploy, monitor, and iterate production models and experimentation frameworks. Improve model performance, build scalable ML pipelines, collaborate with Product/Engineering/Risk, and champion testing, documentation, and model-monitoring best practices to ensure robust, high-impact solutions.

The Senior Software Engineer will lead the design and management of cloud infrastructure, automate systems, ensure security, and enhance developer experience while mentoring the team.

Manage operations for Customer Success and Solution Design and Delivery teams, focusing on strategy, systems, analytics, and stakeholder partnership to improve business outcomes.

As a Chargebacks Analyst, you'll investigate chargebacks to minimize losses, assist merchants, and ensure compliance with policies while managing claims and supporting onboarding efforts.

The Chargebacks Analyst will conduct research on credit card chargebacks, minimize losses, review merchant requests, and support merchants in compliance with company policies. They will perform outreach, collaborate with cross-functional teams, and ensure accurate claim processing.