New York, New York, United States · On-site
$250k–$300k/yr
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…
Skills: Engineering Leadership, Fintech, AI Systems, Backend Architecture, Data Systems
London, England, United Kingdom · On-site
$80k–$160k/yr
You build backend systems that stay up when things get ugly. You care about correctness, performance, and clarity over cleverness. You want your code to power decisions involving real money. If you have only worked on in…
Skills: Golang, Backend Engineering, API Design, Data Pipelines, System Performance
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Own all of engineering at Reflexivity, leading squads across AI, backend, data systems, and infrastructure. Responsible for setting technical strategy, scaling high-performing teams, and ensuring the delivery of a production-grade, scalable platform.
Requires 10+ years of engineering leadership experience, specifically within fintech or investment platforms. Must have a proven track record of building and scaling data-heavy, AI-powered systems in production.
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
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 organization solving hard problems.
Do not apply if you prefer slow cycles, heavy process, or purely managerial roles.
Faster Insights. Better Analysis. Greater Confidence.
Designed for institutional investors, Reflexivity combines trusted data with explainable AI to surface insights - not noise.
Offices: 1460 Broadway, 1025, New York, NY 10036, US · London, Soho W1F 8ZB, GB
Faster Insights. Better Analysis. Greater Confidence.
Designed for institutional investors, Reflexivity combines trusted data with explainable AI to surface insights - not noise.
Offices: 1460 Broadway, 1025, New York, NY 10036, US · London, Soho W1F 8ZB, GB
