Tide
Fintech
DirectorofEngineering
“Director of Engineering at Tide. Skills: AI/ML-driven detection systems, scaling machine learning models, multi-agent orchestration frameworks, Adversarial AI Security, risk-scoring environments at scale, people leadership. lead our Ongoing Monitoring technology teams. building the systems that power Tide’s fraud, risk, and AML operations”
What You'll Achieve.
help SMEs save time (and money); transforming the small business banking market; help SMEs save both time (and money) so they can get back to doing what they love; improve our predictive ML modelling and agentic AI capabilities; reduce operational cost and friction
Industry & Context.
chain complex reasoning steps; make initial risk determinations; detecting and blocking adversarial agentic behavior
Work from abroad for up to 90 days annually (WOO), Contribution towards setting up your home office, Keep your old laptop and get a new one when it’s time for a replacement
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 our Ongoing Monitoring technology teams
building the systems that power Tide’s fraud
leads the strategic vision and development of AI/ML-driven detection systems
scaling machine learning models to analyze massive transaction volumes
overseeing model governance
ensuring compliance with financial regulations
scaling technology and people
Owning 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
Developing detection systems to identify and block adversarial agentic behavior
such as automated bot swarms
deepfake-powered KYC bypasses
and algorithmic fraud loops
Ensuring all AI systems are auditable
and aligned with global anti-money laundering (AML) directives and data privacy standards
Leading and growing multiple engineering squads
Partnering with Product
and Ops to deliver tools that improve our predictive ML modelling and agentic AI capabilities
Championing automation
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; Partnering with Product, Data, AI, Risk, and Ops to deliver tools
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