Strategic AI Projects Lead

Reinforced Learning; Town of Tonawanda (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Reinforced Learning in New York seeks a results-driven leader to manage expert teams across finance, software engineering, law and more, shaping dataset specifications and owning projects from scoping through delivery in a fast-moving, high-stakes environment.

You will drive revenue through client collaboration, design foundation-model evaluation criteria, and coordinate cross-functional work across building, analyzing, and executing to push AI capabilities forward.

Qualifications

• CS degree or engineering background with ability to ship technical projects.
• High agency and drive; thrive in ambiguity and execute with minimal direction.
• Passion for AI and entrepreneurship; interest in experimenting with new tools (Claude Code a plus).
• Competitive nature with past success in leadership roles.
• Strong leadership and excellent written and verbal communication skills.
• Thrives in fast-moving, high-impact environments with bias toward action and attention to detail.
• Proficiency in Python; comfortable writing production-quality code.

Responsibilities

• Project and client management: Build next-generation data solutions and drive revenue.
• Manage expert teams across domains: Coordinate contributors across software engineering, data science, and ML.
• Shape how AI systems are trained: Design dataset specifications influencing model evaluation and improvement.
• Drive high-impact execution end-to-end: Own projects from idea to delivery in a fast-moving environment.
• Gain top-tier operational experience: Support a range of operational initiatives across the business.

Skills

Strong technical background

High agency and drive

Leadership experience

Communication skills

Bias toward action

Python proficiency

Claude Code experience

Education

CS degree

Engineering experience

Tools

Claude Code

Job description

Reinforced Learning in New York seeks a results-driven leader to manage expert teams across finance, software engineering, law and more, shaping dataset specifications and owning projects from scoping through delivery in a fast-moving, high-stakes environment.

You will drive revenue through client collaboration, design foundation-model evaluation criteria, and coordinate cross-functional work across building, analyzing, and executing to push AI capabilities forward.