Tracxn - Program Manager - AI & LLM Projects

We are seeking a structured and impact-oriented Program Manager with 26 years of experience to lead and execute cross-functional programs aimed at building and maintaining our core data assets. This role is ideal for individuals with a strong problem-solving mindset and hands-on experience managing AI-driven initiatives, particularly involving the application of Large Language Models (LLMs) to real-world challenges

Why Join Us?

• Own and lead high-impact AI initiatives, by applying structured program management and problem-solving approaches to enhance data-driven decision-making across our private market intelligence systems
• Drive innovation with LLMs by designing and managing structured solutions to address complex data acquisition and quality challenges
• Be part of a high-growth, fast-paced environment that values structured execution, ownership, and continuous problem-solving to drive impactful program outcomes.

Key Responsibilities

• Develop and execute strategies for data acquisition and enrichment using LLM-based approaches.
• Take full ownership of programs involving structured data enhancement.
• Break down complex challenges into clear, actionable workstreams.
• Design processes to test and validate different data-building approaches.
• Monitor data quality continuously and implement improvement measures.
• Communicate progress, insights, and outcomes effectively to stakeholders.

Requirements

• 26 years of experience in program management or a related role.
• Prior experience working on projects involving Large Language Models (LLMs) or AI-based systems to solve real world problems.
• Strong analytical and reasoning skills with a structured problem-solving approach.
• Excellent communication and stakeholder management abilities.
• Open to feedback and focused on continuous learning and improvement.
• A background in

  engineering

  (e.g., Computer Science, Software Engineering) is a plus.

What We Offer

• Meaningful Work in AI

  : Drive programs that directly shape how we use LLMs in our core data systems.

• Continuous Learning

  : Be part of a team focused on innovation in AI and structured problem solving.

• Transparent, Collaborative Culture

  : Work in a team that values ownership and clear communication.

• Balanced Work Environment

  : Structured work hours and a high-trust, low-friction setup.