Sigma360 · 13 hours ago
Senior Vice President of Engineering
Sigma360 is redefining how financial institutions detect and prevent financial crime, building advanced risk intelligence and screening technology. They are seeking a hands-on engineering leader to scale their platform and lead a high-performing engineering team, focusing on technical direction and collaboration with product and data teams.
Responsibilities
Own the architecture and evolution of Sigma360’s 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
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
Lead 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
Drive best practices in performance, reliability, observability, and security
Measure, report on, and optimize infrastructure spend
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
Qualification
Required
10+ years in software engineering, with significant time in high-growth startup environments or the equivalent someplace else
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
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
A player-coach who leads by example and earns trust through technical credibility
High ownership mentality with the ability to operate in ambiguity
Strong problem solving skills to help unblock the team
Passion for using the latest technologies in practical, production-grade ways
Strong communicator who can align engineers, product leaders, and executives
Preferred
Experience in financial services, fintech, or financial crime/AML/compliance technology
Exposure to AI/ML-driven products and data science platform needs
Experience with highly regulated or mission-critical software environments
New York (and/or surrounding region) preferred
Company
Sigma360
Sigma360 is a leading AI-driven risk intelligence platform used by global organizations to fight financial crime and make more informed counterparty risk decisions.
Funding
Current Stage
Early StageTotal Funding
$4.2MKey Investors
Phoenix Financial
2022-06-21Seed· $3M
2020-10-15Pre Seed· $1.2M
Company data provided by crunchbase