Tide
Fintech
DirectorofEngineering
“Director of Engineering at Tide. Skills: AI/ML, Machine Learning, multi-agent orchestration frameworks, Adversarial AI Security, risk-scoring environments, people leadership. lead Ongoing Monitoring technology teams. build systems that power Tide’s fraud, risk, and AML operations”
What You'll Achieve.
help SMEs save time (and money); get back to doing what they love; scale machine learning models to analyze massive transaction volumes; ensure compliance with financial regulations; build an inclusive, high-performance culture; deliver tools that improve our predictive ML modelling and agentic AI capabilities; reduce operational cost and friction
Industry & Context.
chain complex reasoning steps; make initial risk determinations; detect and block adversarial agentic behavior
Work from abroad for up to 90 days annually (WOO - Work Outside the Office)
What They're Looking For.
Must Have
18+ years of engineering experience, 7+ years in leadership roles (Director/Senior Director level), Machine Learning: experience in supervised and unsupervised models, decision trees, neural networks, and Large Language Models (LLMs), Agent Frameworks: Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, AutoGen) used to build self-correcting compliance workflows, Fintech Domain Knowledge: Deep understanding of fraud vectors (e.g., mule accounts, account takeovers, synthetic identity fraud) and AML typologies, Adversarial AI Security: Proven track record in detecting deepfakes, synthetic identities, and prompt injection attacks targeting financial systems, Minimum 7+ years building and deploying production-grade, risk-scoring environments at scale, Experience with fintech platforms - risk/compliance tooling (AML, Fraud, Financial Risk, SARs, KYX, agentic AI detections ), Solid technical foundations: cloud-native architectures, microservices, event-driven systems, and data platforms (AWS or GCP)
Nice to Have
Kubernetes a plus
What You'll Do.
lead Ongoing Monitoring technology teams
build systems that power Tide’s fraud
lead the strategic vision and development of AI/ML-driven detection systems
scale machine learning models to analyze massive transaction volumes
oversee model governance
ensure compliance with financial regulations
scale technology and people
own the technology strategy and roadmap for Ongoing Monitoring (Fraud
multi-agent workflows that automatically investigate alerts
query external data sources
chain complex reasoning steps
and make initial risk determinations
develop detection systems to identify and block adversarial agentic behavior
such as automated bot swarms
deepfake-powered KYC bypasses
and algorithmic fraud loops
ensure all AI systems are auditable
and aligned with global anti-money laundering (AML) directives and data privacy standards
lead and grow multiple engineering squads
and Ops to deliver tools that improve our predictive ML modelling and agentic AI capabilities
data-driven decision making
and AI/ML opportunities to reduce operational cost and friction
How You'll Work.
Team & Collaboration
partner with Product, Risk, and Operations leaders to shape the future of our Ongoing Monitoring platform; partner with Product, Data, AI, Risk, and Ops to deliver tools
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