The AML Analyst will manage the end-to-end lifecycle of fraud rules, including proposal, testing, deployment, and monitoring. They will translate fraud patterns into actionable logic to strengthen the detection and prevention of financial crime.
Pleo
19 Remote Job Openings at Pleo
The Fraud Analyst will manage the end-to-end lifecycle of fraud rules, from proposal and testing to deployment and monitoring. They will translate fraud patterns into actionable logic to strengthen the detection and prevention of financial crime risk.
Design, build, and operate core GenAI platform components including LLM routing, vector search, and agentic workflow infrastructure. Focus on creating internal SDKs and guardrails to enable product teams to deploy AI features reliably and securely.
Design, build, and operate core GenAI platform components including LLM routing, vector search, and agentic workflow infrastructure. Focus on improving reliability, observability, and developer experience for product teams building AI features.
Lead the technical direction and execution of the Telescope design system across web and mobile platforms. Act as a force multiplier by improving developer experience, governing contribution models, and mentoring frontend engineers.
Lead the technical direction and execution of the Telescope design system across web and mobile platforms. Act as a force multiplier by improving developer experience, managing contribution models, and mentoring frontend engineers.
Lead multiple engineering teams to deliver high-quality spend management solutions while aligning technical direction with company goals. Focus on mentoring engineers, accelerating AI adoption, and optimizing development processes to increase velocity.
Own the end-to-end product strategy and autonomy frameworks for AI agents that execute financial workflows. Lead the transition from automated workflows to agentic autonomy by architecting how multi-modal data fuels AI reasoning.
Own the end-to-end product strategy and autonomy frameworks for AI agents that execute financial workflows. Lead the transition from automated workflows to agentic autonomy by architecting how multi-modal data feeds into LLMs.
Lead the GenAI Platform team in developing internal AI infrastructure, including LLM serving and agentic runtimes. Manage the platform roadmap, technical architecture transitions, and stakeholder relationships to ensure AI features are scalable and trustworthy.
Lead and develop multidisciplinary Data & AI Products and Data Serving teams to build customer-facing AI features and a production-grade data layer. Partner with product leadership to define roadmaps and ensure the reliability, quality, and scalability of AI-powered data products.
Lead the GenAI Platform team in building internal AI infrastructure, including LLM serving, agentic runtimes, and evaluation tooling. Manage the platform roadmap, technical architecture transitions, and stakeholder relationships to ensure AI features are scalable and trustworthy.
Lead and develop multidisciplinary Data & AI Products and Data Serving teams to build customer-facing AI features and a production-grade data layer. Partner with product leadership to define roadmaps and ensure the reliability, quality, and scalability of AI-powered data products.
Build and ship customer-facing AI-powered product features by designing end-to-end RAG systems and agentic loops. Own the full AI product lifecycle from prompt design and evaluation to production deployment and observability.
Build and ship customer-facing AI-powered product features by designing end-to-end RAG systems and agentic loops. Own the full AI product lifecycle from prompt design and evaluation to production observability and deployment.
Build and ship AI-powered product features including agentic workflows and spend intelligence while establishing standards for evaluation and monitoring. Collaborate with product and engineering teams to translate business challenges into scalable AI solutions and mentor other engineers.
Build and ship AI-powered product features including agentic workflows and spend intelligence while establishing standards for evaluation and monitoring. Collaborate with product and engineering teams to translate business challenges into scalable AI solutions and mentor other engineers.
Manage a portfolio of customers to drive product adoption and deliver measurable outcomes through data-driven interventions. Proactively identify churn risks using health scores and collaborate with Product and Operations teams to improve the service roadmap.
Lead the Customer Success strategy and operating model for large and high-growth customers to drive retention, expansion, and long-term value. Manage multiple teams of Customer Success Managers and collaborate cross-functionally with Product, Sales, and Support to improve the overall customer experience.
