A degree in Aerospace Engineering, Mechanical Engineering, Computer Science, or a related STEM field; MBA is a plus.
• 10+ years of relevant product management or related leadership experience with increasing responsibility, preferably in enterprise, industrial, Aerospace & Defense, manufacturing, asset intensive, or regulated software environments.
• Experience with aviation maintenance operations, asset intensive industries, or other regulated operational environments is preferred, with the ability to partner effectively with domain experts to shape AI enabled product initiatives from concept to deployment.
• Familiarity with aviation, industrial, or other regulated operational processes is preferred, including an understanding of how AI/ML tools should be validated, governed, and responsibly deployed in safety critical or compliance sensitive environments.
• Aerospace & Defense domain experience is preferred, not required. Candidates with strong AI product leadership, enterprise software experience, and a demonstrated ability to rapidly build domain understanding will be considered.
• Experience collaborating with AI-augmented engineering and data science workflows, skilled in financial modelling, market sizing and business case creation, with experience managing portfolio and P&L accountability.
• Deep experience in managing through influence, coaching other product managers, and driving results through cross-functional teams.
• Excellent communication and presentation skills, with experience interfacing with customers, senior leadership, and the board.