Tech Lead Manager: AI Data Platforms & FinTech

Reflexivity

New York (NY)

On-site

USD 193,000 - 205,000

Full time

14 days+
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Job summary

Reflexivity in New York seeks a Tech Lead Manager to drive technical strategy and delivery. You will own architecture, guide AI data workflows from ingestion to production models, and lead a cross-functional team across Go, Python, and frontend tech in a fintech context.

The role emphasizes scalability, reliability, and collaboration with product, design, and stakeholders while shaping engineering culture and best practices.

Qualifications

  • Bachelor's degree in software development, CS, or related field.
  • Minimum 5 years owning AI data workflows from ingestion to production models.
  • 4+ years at fintech startups in the investment space.
  • 3 years leading teams to build core software products.
  • 1 year with AI coding assistants (Cursor, Claude Code, or similar)

Responsibilities

  • Set technical objectives and priorities aligned with company goals and roadmap.
  • Partner with Product, Design, and stakeholders to define requirements, timelines, and deliverables.
  • Own architecture and implementation to ensure scalability, reliability, and performance.
  • Run code reviews and enforce engineering best practices.
  • Reduce technical debt and improve development processes.
  • Track industry trends and recommend adoption where relevant.
  • Build a culture of collaboration, innovation, and continuous learning.
  • Communicate technical concepts clearly to non-technical stakeholders.

Skills

AI data workflows
Team leadership
Go
Python
LLM systems
Fintech experience
Architecture
Stakeholder communication
Code reviews

Education

Bachelor's degree in Software Development / Computer Science

Tools

Docker
Kubernetes
AWS
GCP
PostgreSQL

Job description

Reflexivity in New York seeks a Tech Lead Manager to drive technical strategy and delivery. You will own architecture, guide AI data workflows from ingestion to production models, and lead a cross-functional team across Go, Python, and frontend tech in a fintech context.

The role emphasizes scalability, reliability, and collaboration with product, design, and stakeholders while shaping engineering culture and best practices.

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