AI Rotation Associate

Steel Partners Holdings L.P. is a global diversified holding company with operations spanning diversified industrial products, energy, defense, supply chain management and logistics, banking, and youth sports. Founded in 1990 by Warren G. Lichtenstein, Steel Partners has grown from a small private investment partnership into a $2 billion enterprise with approximately 5,200 employees across 90 locations in 14 countries. In January 2026, Steel Partners returned to being a privately held, family-owned company, continuing its long-term, values-driven approach to ownership and operations.

We work with our companies to increase long-term value for all stakeholders. Everything we do is guided by The Steel Way, our operating philosophy and cultural foundation. The Steel Way defines how we lead, how we operate, and how we grow, uniting our people across every business unit and industry around a common purpose: building exceptional businesses that stand the test of time by developing exceptional people.

The Steel Way is built on five pillars. Our Kids First purpose reflects our belief that people perform best when they are developed, supported, and challenged to succeed. While rooted in youth sports, Kids First inspires how we invest in the growth and development of all people, including our employees, leaders, coaches, and communities. Our Core Values of Teamwork, Respect, Integrity, and Commitment guide our decisions and actions every day. The Steel Business System drives operational excellence and continuous improvement across our companies. The Steel Coaching System helps leaders develop people through meaningful conversations, observations, and participation. And Steel Grow reflects our commitment to recruiting, retaining, and rewarding talented people while creating opportunities for learning, advancement, and leadership development throughout their careers.

Together, these pillars create a culture focused on long-term success, accountability, learning, and continuous improvement. They provide a common framework that connects our businesses, strengthens our teams, and helps us create lasting value for employees, customers, communities, and shareholders.

Over the past 36 years, Steel Partners has evolved from a private investment fund into a diversified global holding company. While our businesses have grown and changed, our philosophy remains the same: persistence and hard work are the cornerstones of any great organization. With purpose, passion, and perseverance, great things can happen.

Please find out more at www.steelpartners.com

Full-Time | 24-Month Rotational Program

Associates complete four rotations over the course of the program — three at their home operating company and one at a second Steel Partners portfolio company. Rotation placements are determined based on business need, strategic AI priorities, and each associate's developing areas of expertise. Rotations may span any core business function, including Finance, Accounting, HR, Supply Chain, Operations, Commercial, or others as business priorities evolve.

Rotations 1–3 — Home Operating Company

Each rotation embeds the associate within a different functional team, where they will partner with business leaders to identify high-value AI opportunities and move them from concept to deployment. Across rotations, associates will:

• Assess current workflows and data assets to identify automation, optimization, and insight opportunities
• Design and build AI-powered tools, models, and dashboards that drive measurable business outcomes
• Translate complex analytical outputs into clear recommendations for functional and executive stakeholders
• Develop and refine scalable solutions that can be maintained and expanded beyond the rotation

No two rotations will look the same. The function changes, the problems change, and the associate's role expands with each successive placement.

Rotation 4 — Enterprise AI Rotation

The final rotation places associates at a second Steel Partners portfolio company, determined by business need and the associate's AI specialization interests. This cross-company experience broadens perspective, exposes associates to a distinct industry context, and challenges them to apply their skills in an unfamiliar environment — accelerating growth and preparing them for a permanent AI leadership role within the portfolio

• Hands-on experience designing, building, and deploying AI agents and AI-enabled tools in real business environments
• Deep exposure to AI applications across finance, HR, and commercial functions at MTE
• Cross-company AI exposure through a culminating rotation at MTI Motion
• Mentorship from engineering, AI, data, and business executives
• Competitive pay, benefits, and relocation support
• Direct visibility to senior leadership and executive AI sponsors
• Post-program placement into high-impact AI, Analytics, or Digital Transformation roles across our portfolio

• Teamwork
• Respect
• Integrity
• Commitment

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation and gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

• Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related technical field, ideally from a university with a recognized AI/ML program.
• AI/ML certification (e.g., a recognized university, professional, or industry AI certification) strongly preferred.
• 0–2 years of experience (internships, co-ops, research assistantships, or early-career experience preferred).
• Demonstrated experience building, training, or deploying AI agents, machine learning models, or automation tools — personal projects, coursework, research, or internships all count.
• Strong analytical and problem-solving skills, with the ability to translate AI capabilities into practical business strategy.
• Excellent collaboration, communication, and organizational skills; comfortable presenting technical concepts to non-technical stakeholders.
• Familiarity with Python, modern ML/LLM frameworks, agent-building or automation tools, and data engineering fundamentals.
• Willingness to relocate and travel throughout the rotational program.