VP of Engineering - New York

You have scaled engineering teams building mission-critical fintech platforms.
You know how to ship fast without creating technical debt disasters.
You can translate product vision into systems, teams, and execution.
You thrive where AI, data, and real-world financial impact intersect.
If you have only operated in slow-moving enterprises, this will feel intense.

You will own all of engineering at Reflexivity.
This role exists because the platform is scaling in users, data, and technical ambition.
You will lead multiple squads across AI, backend, data systems, and infrastructure.
Your job is to build a world-class engineering organization that ships reliably.

• Set technical strategy across AI, data, backend, and platform systems

• Scale and lead high-performing engineering teams

• Own delivery quality, system reliability, and long-term architecture

• Partner closely with founders and product leadership

• Make build vs buy decisions with speed and clarity

• Create hiring standards that attract senior, high-signal engineers

• Ensure AI systems are production-grade, not experimental

After 3 months
You understand every major system, team dynamic, and delivery bottleneck.

After 6 months
Engineering velocity improves while system stability increases.

After 12 months
Reflexivity runs on a scalable, resilient platform with a strong engineering culture.

• 10 plus years in engineering leadership roles

• Significant experience in fintech or investment platforms

• Built and scaled data-heavy, AI-powered systems in production

• Led teams through rapid growth stages

• Strong technical background in modern backend architectures

• Comfortable diving into code and architecture when needed

• Proven hiring and talent development track record

• Experience with LLM platforms or proprietary data products

• Prior startup exit or scale-up experience

• In-office leadership presence matters

• High ownership, low bureaucracy

• Clear priorities and fast execution

• Open technical debate with strong accountability

• Shape the core technology behind next-generation investment intelligence

• Build a top-tier engineering organization from the inside

• Direct influence on company trajectory and product success

• Work at the frontier of AI, data, and finance