Technical Product Manager

Lead Technical Product Manager – AI (Energy / Production Optimization) Location: Fort Worth, TX - Open to remote with regular travel. Compensation: $200-225k base + Equity We’re partnering with an innovative company in the energy sector that is building next-generation, AI-powered production optimization solutions. They are seeking a Lead Technical Product Manager to own the end-to-end product strategy, roadmap, and execution for a suite of intelligent tools that drive operational efficiency across complex industrial environments. This is a highly visible role sitting at the intersection of AI/ML, industrial systems (IT/OT), and product leadership. What You’ll Do Own and define the product vision, strategy, and multi-year roadmap for AI-driven production optimization platforms Lead the development of scalable frameworks, processes, and best practices for AI/ML productization Partner cross-functionally with engineering, data science, operations, and business stakeholders to deliver high-impact solutions Translate complex industrial and operational challenges into technical product requirements Drive end-to-end product lifecycle: discovery, development, launch, and iteration Establish KPIs and success metrics tied to production efficiency, cost reduction, and system performance Act as a bridge between IT and OT environments, ensuring seamless integration of digital and physical systems Stay current on emerging AI/ML technologies and identify opportunities for innovation within industrial workflows What We’re Looking For 5+ years of product management experience, with at least 2+ years leading technical or AI-driven products Strong background in AI/ML workflows (model development lifecycle, deployment, monitoring, and iteration) Experience working in industrial, energy, manufacturing, or similar OT-heavy environments Demonstrated success owning product strategy and delivering complex, data-driven platforms Deep understanding of IT/OT integration, industrial data systems, and real-time analytics Strong technical fluency being comfortable working with engineering and data science teams at a detailed level Proven ability to build frameworks, processes, and scalable product systems from the ground up Excellent stakeholder management and communication skills Nice to Have Experience with production optimization, predictive maintenance, or industrial IoT platforms Familiarity with cloud platforms (AWS, Azure, GCP) and data infrastructure Background in energy (oil & gas, renewables, utilities) or heavy industry #J-18808-Ljbffr