Senior Engineering Manager – Decision Intelligence
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Job Description
Senior Engineering Manager leading Pleo's real-time fraud and risk decisioning platform. Scaling machine learning, decisioning, and risk engineering teams at spend-management company Pleo.
Responsibilities:
- Own delivery, quality, and technical direction of Pleo's fraud and risk decisioning platform
- Own the health and velocity of the engineering team or teams
- Set the technical vision for fast, accurate, explainable, data- and ML-driven fraud detection and prevention
- Build a focused, high-performing team with clear ownership, priorities, and engineering culture
- Directly manage, mentor, and grow engineers and tech leads
- Set competency expectations and individual growth paths
- Establish standards and accountability for safe, verifiable, auditable, and explainable AI-assisted work
- Partner with Compliance, Risk, and Security leadership
- Grow Decision Intelligence into multiple teams and define future specialist roles
- Report to the Director of Engineering for Payments
- Work closely with the Product Manager for Decision Intelligence and fraud, security, compliance, risk, payments, and platform teams
- Establish ownership, priorities, delivery culture, and cross-functional relationships during the first six months
- Contribute to fraud-platform direction and future hiring
Requirements:
- Track record of leading and growing engineering teams as an Engineering Manager or Senior Engineering Manager
- Experience owning delivery health and people development
- Domain judgment in fraud, risk, financial crime, trust & safety, or another real-time, high-stakes decisioning domain
- Understanding of latency budgets, false-positive/false-negative trade-offs, adversarial change, and regulatory requirements
- Technical depth in data pipelines, model-driven decisioning, clean data, graph and ML infrastructure, streaming and batch architectures, and MLOps
- Sound build-vs-buy judgment for high-stakes, regulated systems
- Passion for people management and coaching
- High proficiency with AI-enhanced development tools such as GitHub Copilot or Claude
- Experience championing AI-native ways of working
- Willingness to deepen AI fluency
- Strong cross-functional collaboration and communication skills
- Application must be submitted in English
- Must have the legal right to work in the selected location
Benefits:
- Your own Pleo card
- Lunch provided for work days via catered meals or a lunch allowance based on your local office
- Comprehensive private healthcare, with coverage options including Vitality, Alan or Médis depending on location
- 25 days of holiday plus public holidays
- Hybrid and fully remote working options
- Free mental health and well-being support through MyndUp
- Paid parental leave
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