Signifyd

HQ
San Jose
Total Offices: 8
450 Total Employees
Year Founded: 2011

Jobs at Signifyd

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Recently posted jobs

Fintech • Machine Learning • Payments • Software • Financial Services
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.
7 Days AgoSaved
In-Office or Remote
2 Locations
Fintech • Machine Learning • Payments • Software • Financial Services
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.
8 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
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.
Fintech • Machine Learning • Payments • Software • Financial Services
The Machine Learning Engineer II builds production ML models to detect fraud, collaborates on engineering teams, and improves the commerce protection platform.
10 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
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.
12 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design and delivery of the public-facing API platform and ingestion services. Build scalable, reliable real-time distributed systems, collaborate with product and data teams, review designs and code, address technical debt, take operational ownership using observability tools, and mentor engineers.
17 Days AgoSaved
In-Office or Remote
2 Locations
Fintech • Machine Learning • Payments • Software • Financial Services
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.
20 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
Manage operations for Customer Success and Solution Design and Delivery teams, focusing on strategy, systems, analytics, and stakeholder partnership to improve business outcomes.
20 Days AgoSaved
In-Office
Belfast, County Antrim, Northern Ireland, GBR
Fintech • Machine Learning • Payments • Software • Financial Services
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.
21 Days AgoSaved
Remote
United States
Fintech • Machine Learning • Payments • Software • Financial Services
Manage a portfolio of enterprise customers to drive adoption, retention, renewals, and expansion. Lead onboarding and cross-functional project coordination, deliver executive business reviews, advise on product best practices, resolve account issues, and act as a trusted advisor to achieve customer objectives and revenue targets.
23 Days AgoSaved
In-Office or Remote
2 Locations
Fintech • Machine Learning • Payments • Software • Financial Services
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.