Lead engineering teams, define technical direction, and drive execution of the engineering roadmap for a Series A-funded digital asset risk-management platform.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Vice President of Engineering
Location: Remote (Ideally need to be based in the UK)
Salary: £140,000–170,000 base + equity + benefits
About the Company
Join a Series A–funded digital asset risk-management platform backed by Microsoft, Coinbase, Samsung, Nyca, and Neotribe. With $22M raised and three years of financial runway, the company powers real-time risk monitoring, analytics, and intelligence insights for financial institutions, custodians, tokenized-asset issuers, and regulators.
Their mission is to enable safe, compliant, scalable blockchain participation for institutions on a global scale.
About the Role
As VP of Engineering, you will lead and scale the engineering organization responsible for delivering the company’s core risk platform. You’ll define technical direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection.
You’ll work cross-functionally with Product, Analytics, and Customer Success, operating as a technical and strategic leader shaping the next phase of platform evolution.
Key Responsibilities
Engineering Leadership & Execution
- Lead engineering teams across backend, frontend, SRE, data platforms, and risk analytics.
- Drive execution of the engineering roadmap, delivering secure, scalable enterprise software.
- Define engineering processes that promote iteration, performance, and predictable delivery in a remote-first environment.
Architecture & Platform Direction
- Own end-to-end evolution of platform architecture: ingestion pipelines, scoring engines, real-time compute, APIs, and integrations.
- Guide system design decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity.
- Lead technical direction for enterprise deployments, POCs, and customer integrations.
Data Infrastructure & Analytics
- Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis.
- Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models.
- Ensure data accuracy, quality, and resiliency across pipelines and computation layers.
Emerging AI & Automation Capabilities
- Introduce new automation, reporting, and workflow intelligence features.
- Integrate AI-powered classification, alerting, risk scoring, and customer-facing insights securely and transparently.
- Ensure future enhancements remain enterprise-ready, explainable, and compliant.
Cross-Functional Collaboration
- Work with Product and Analytics to convert customer needs into technical execution plans.
- Support Sales Engineering and BD by communicating technical capabilities and roadmap direction.
- Serve as a technical leader in customer evaluations, deployments, and audits.
Technical Skills & Required Expertise
The role requires deep hands-on architectural and technical leadership across distributed systems, data platforms, and analytics tooling.
Languages & Backend
- Python, Go (Golang), TypeScript
- Strong understanding of distributed systems, microservices, API-driven architectures
Data & Analytics
- AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses)
- Kafka, Kinesis, or other streaming/event platforms
- Experience building large-scale ingestion and normalisation pipelines
- Experience with analytics engines, scoring frameworks, and real-time compute
Cloud & Infrastructure
- AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS)
- CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines
- Experience operating highly available systems in production environments
Security, Compliance & Enterprise
- Secure systems design, identity/auth workflows, audit trails
- Enterprise-grade performance monitoring, SLAs, and reliability metrics
Domain Expertise
- Blockchain data platforms, node infrastructure, or crypto risk systems
- Analytics-heavy or automation-centric enterprise platforms
What Sets This Role Apart
- Lead engineering for a category-defining risk platform transforming blockchain compliance and safety.
- Set foundational architecture powering global financial institutions and regulators.
- Build and scale a world-class engineering org across multiple disciplines.
Perks & Benefits
- Competitive salary + meaningful equity
- Medical insurance (location dependent)
- Fully remote + home office budget
- Supported attendance at blockchain conferences
- Opportunities to collaborate globally and shape emerging industry standards