Tech Lead Manager - AI-Driven Fintech Systems

Toggleai

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 guide technical direction and project execution within the engineering team. You will pair hands‑on software expertise with cross‑functional collaboration, mentoring engineers to deliver high‑quality outcomes.

The role emphasizes architecture ownership, scalable systems, and building a culture of collaboration and learning, with a 9:00‑to‑17:00 schedule and strong fintech/AI data workflow focus.

Qualifications

  • 5 years owning AI data workflows from raw data ingestion through production‑level models.
  • 3–5 years leading teams to build core software products in fintech or market data space.
  • Experience with AI coding assistants (Cursor, Claude Code, or similar).
  • Experience with Golang or Python.
  • Experience with LLM systems, reasoning engines, or knowledge graphs.

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

Education

Bachelor’s degree in CS/Software Engineering

Tools

Golang
Python
PostgreSQL
Docker
Kubernetes

Job description

Reflexivity in New York seeks a Tech Lead Manager to guide technical direction and project execution within the engineering team. You will pair hands‑on software expertise with cross‑functional collaboration, mentoring engineers to deliver high‑quality outcomes.

The role emphasizes architecture ownership, scalable systems, and building a culture of collaboration and learning, with a 9:00‑to‑17:00 schedule and strong fintech/AI data workflow focus.

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