Jobs at Feedzai

Design, implement, integrate, configure, and optimize Feedzai customer solutions using Java, SQL, APIs, messaging systems, and cloud technologies. Troubleshoot production issues across application, database, infrastructure, and integration layers; lead implementations, migrations, upgrades, and go-lives; support enterprise customers; review solution designs; mentor engineers; and provide product feedback based on customer implementations.

Designs AI-enabled learning experiences for Feedzai customers, partners, and employees. Responsibilities include creating instructional content, videos, tutorials, certifications, in-app guidance, assessments, and product education journeys; collaborating with Product, UX, Documentation, and SMEs; applying accessibility and inclusive-design principles; using analytics and feedback to improve learning; supporting localization; and developing scalable AI-assisted content workflows.

Leads a distributed team of Risk Consultants, Data Scientists, and Business Analysts across client engagements. Oversees fraud detection strategies, machine learning models, risk logic, data analysis, and analytics integrations for financial institutions. Translates business goals into technical solutions, guides performance improvements, collaborates with Engineering and Product, and develops team talent through coaching and performance management.

Manages global analyst relationships, briefings, evaluations, market research, and analyst-facing content. Develops positioning and messaging with Product Marketing and Product Management, tracks market trends and competitive insights, and enables Sales and Marketing teams to use analyst findings effectively. The role requires strong financial services experience, knowledge of fraud or AML, project management, communication, and cross-functional collaboration skills.

Lead and mentor a high-performing engineering team, ensuring alignment between engineering outcomes and business goals while fostering technical excellence and collaboration.

Join Feedzai's Internship Community by submitting your resume. Engage with training, shadow colleagues, and start working on projects to gain experience.

Lead design and operation of decision-focused signals, dashboards, and automated insights. Partner with senior product leaders to translate data into decision-ready narratives, ensure data quality and governance, and deploy AI/agentic workflows to automate reporting and governance while driving adoption and ROI.

Lead and scale Feedzai's EMEA partner ecosystem (GSIs, OEMs, acquirers, processors, hyperscalers, ISVs). Drive partner strategy, joint go-to-market, partner-sourced revenue, onboarding/enablement, KPIs and reporting, and support joint marketing and demand-generation activities.

The Analyst Relations Manager will build relationships with industry analysts, manage analyst evaluations and reports, develop analyst-facing messaging, track market intelligence, and enable Sales, Product, and Marketing teams. The role requires close collaboration with executives and cross-functional stakeholders to position Feedzai favorably in financial crime and fraud markets. Candidates need at least five years of financial services experience, strong communication and project management skills, and knowledge of fraud, AML, or financial crime compliance is preferred.

The Software Engineer will install and integrate Feedzai products, develop custom interfaces, and ensure product performance while collaborating with project teams and clients.

Join Feedzai's talent community by submitting your resume. You'll receive training, mentorship, and engage in projects related to financial risk management.

Serve as a technical lead for customer implementations: design, configure, integrate, troubleshoot, and optimize Feedzai solutions. Build integrations (APIs, messaging, file processing), analyze Java application performance, support migrations and go-lives, mentor engineers, and collaborate with Product and Customer Success teams to ensure scalable, reliable deployments and long-term customer success.