Senior Vice President of Engineering

About

We are hiring a hands-on engineering leader who has helped scale technology companies from Series A/B through high-growth stages. This is a builder’s role: you’ll set technical direction, grow and lead a high-performing team, and stay close to the architecture and code powering our data and intelligence platform. You’ll partner closely with Product, Data, and Go-To-Market leadership to deliver a platform that is scalable, resilient, and built for the future of AI-driven financial crime detection.

What You’ll Do

Technical Leadership

• Own the architecture and evolution of our core platform, with a strong focus on big data, distributed systems, and AI-ready infrastructure
• Make high-quality, pragmatic technical decisions that balance speed, scalability, and long-term maintainability
• Stay hands-on in system design, code reviews, and key technical initiatives

Team Building & Scaling

• Recruit, develop, and lead a world-class engineering team across backend, data, and platform engineering
• Build strong engineering culture, processes, and delivery discipline while preserving startup velocity
• Mentor senior engineers and emerging leaders; create clear growth paths

Platform & Data Excellence

• Oversee the design of large-scale data ingestion, enrichment, and search systems
• Ensure our platform can handle massive, complex, and evolving datasets used in financial crime and risk intelligence without fail
• Drive best practices in performance, reliability, observability, and security
• Measure, report on, and optimize infrastructure spend

Execution & Cross-Functional Partnership

• Work closely with Product and Data teams to translate complex risk and compliance needs into scalable technical solutions
• Partner with leadership to align engineering roadmaps with company strategy and growth milestones
• Help the company scale from startup execution to durable, repeatable delivery

What We’re Looking For

Experience

• 10+ years in software engineering, with significant time in high-growth startup environments or the equivalent someplace else (important)
• Proven experience scaling engineering teams and systems from Series A/B through rapid growth and interfacing with executive leadership, the board and high-level clients
• Experience building and operating data-intensive, distributed systems at scale

Technical Depth

• Strong background in big data architectures (e.g., streaming, ETL/ELT pipelines, large-scale search, graph or entity resolution systems)
• Experience with modern data and cloud stacks (e.g., AWS/GCP/Azure, Kubernetes, data warehouses/lakes, real-time processing)
• Exposure to AI/ML applications, including leveraging of LLMs for intelligent data triage, matching and workflow automation, including familiarity with latest approaches
• Comfortable going deep in system design and code when needed — this is not a purely managerial role