Engineering Manager
We're looking for an Engineering Manager focused on designing and building scalable technical solutions. This executive role requires 8+ years of relevant experience.
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.
The Role, In Plain English
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.
What You’ll Be Responsible For
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
What “Good” Looks Like in This Role
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.
Who You Are (Must-Haves)
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
Nice-to-Haves (Not Deal Breakers)
Experience with LLM platforms or proprietary data products
Prior startup exit or scale-up experience
How We Work
In-office leadership presence matters
High ownership, low bureaucracy
Clear priorities and fast execution
Open technical debate with strong accountability
Why This Role Is Worth Your Time
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
Compensation & Practicalities
Base salary: $250,000 to $300,000
Meaningful equity package
In-office in New York
No agency candidates
Apply if you want to build and lead a serious engineering organizat
Posted July 17, 2026