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Program Manager Data - AI/LLM, Data Operations

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Job Description

We are seeking a structured and impact-oriented Program Manager with 2–6 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

  • 2–6 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.

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