Head of Technical Product Management

GlobiFYE; Dallas (TX); Hybrid; USD 200,000 - 230,000; Full time

Benefits offered by this job

Annual performance bonus

Full benefits package - medical, dental, and vision

Relocation assistance available

Job summary

A leading energy technology firm in Dallas is seeking a Head of AI, Machine Learning, and Data Science Product Management to drive product innovation in renewable energy. You'll lead a team, define product strategies, and engage with key customers. This hybrid role offers a salary of $200K–$230K, a full benefits package, and opportunities for global impact. Applicants should possess extensive experience in product management, particularly in AI/ML and energy sectors, alongside cloud platform proficiency.

Qualifications

• 18+ years of technology, engineering, or product experience.
• Demonstrated success with AI, ML, and Data Science portfolios.
• Proficiency with cloud platforms and modern software practices.

Responsibilities

• Define AI/ML product vision for Renewable Automation & Control.
• Lead and mentor Technical Product Managers.
• Drive Proof of Concept projects with strategic customers.

Skills

Technical Product Management

AI/ML Product Development

Cloud platforms proficiency

Pre-sales experience

Team leadership

Education

Bachelor's degree in Engineering or Computer Science

Tools

Microsoft Azure

AWS

Google Cloud Platform

Job description

Head of AI/ML & Data Science Product Management | $200K–$230K | Dallas, TX

Job Summary

Shape the future of energy. as part of a global, multi-billion-dollar engineering and technology conglomerate - is seeking a visionary Head of AI, Machine Learning, and Data Science Product Management to lead next-generation software innovation across Renewable Energy Automation and Transmission & Distribution (T&D) systems. Reporting directly to the Chief Technology Officer, you'll own the full product strategy, drive AI/ML roadmaps, lead Proof of Concept engagements with top-tier customers, and serve as the technical anchor for US sales efforts. With a $50M+ enterprise contract already secured and 600+ plants supported globally, your work will move at the speed of the energy transition itself.

Ready to build what powers the world? Apply today.

Key Responsibilities

• Define and execute a multi-year AI/ML and Data Science product vision for Renewable Automation & Control and T&D software solutions, aligned with emerging technologies and regulatory requirements
• Lead and mentor a high-performing team of Technical Product Managers, embedding agile methodology, product lifecycle best practices, and go-to-market discipline
• Drive Proof of Concept (POC) projects with strategic customers and partners - translating outcomes into scalable, market-ready products
• Accelerate adoption of cloud computing, GenAI, edge computing, and machine learning frameworks within grid automation and energy management platforms
• Champion technical pre-sales across the USA - delivering product demonstrations, responding to RFIs/RFPs, and developing whitepapers and competitive intelligence
• Collaborate cross-functionally with engineering, regional delivery, sales, and customer success teams to ensure high-quality, on-schedule software delivery
• Optimize monetization models - pricing, licensing, and KPIs - to maximize customer adoption and product profitability
• Engage utilities, regulators, and industry stakeholders to anticipate grid modernization trends and cybersecurity requirements

Required Qualifications

• 18+ years of progressive experience in technology, engineering, or product roles - or equivalent combination of education and experience
• 15+ years leading Technical Product Management in Energy, Utilities, Power Systems, or T&D Automation & Control
• Demonstrated success driving AI, ML, and Data Science product portfolios from ideation through commercial launch
• Proficiency with cloud platforms (Microsoft Azure, AWS, or Google Cloud Platform) and modern software delivery practices
• Proven technical pre-sales experience: solution presentations, RFP/RFI responses, and enterprise customer engagement
• Bachelor's degree in Engineering, Computer Science, or a related technical field (advanced degree a plus)
• US work authorization required - visa sponsorship is not available for this role

Preferred Qualifications

• Hands-on familiarity with SCADA, EMS, DMS, or grid automation software platforms
• Knowledge of OT/IT cybersecurity frameworks and compliance standards in energy environments
• Experience with SAFe Agile or scaled agile delivery across distributed, global teams
• Advanced degree (MS or MBA) in a technical or business discipline
• Prior engagement with US utility companies, ISOs, or energy regulators

Compensation & Benefits

• Base Salary: $200,000 – $230,000/year
• Annual performance bonus (eligible)
• Full benefits package - medical, dental, and vision
• Relocation assistance available for the right candidate
• Global impact - influence energy infrastructure across 600+ plants in 24,000+ person organization
• Direct CTO visibility and executive-level ownership
• Work at the forefront of clean energy, digital transformation, and grid modernization

Work Environment & Culture

We operates at a rare intersection: the urgency of the global energy transition meets the discipline of world-class engineering. You'll work alongside data scientists, software engineers, and domain specialists who care deeply about the problems they solve. The culture rewards bold thinking, cross-functional collaboration, and customer obsession.

This is a hybrid role based in Dallas, TX, with occasional travel to customer sites, partner facilities, and industry events. You'll engage global teams across design centers and innovation labs, with the autonomy to lead - and the backing of a $50M+ enterprise infrastructure to deliver at scale.

We are proud to be an Equal Opportunity Employer committed to diversity, equity, and inclusion across all backgrounds, identities, and experiences.

Application Process

• Apply directly via this posting - no cover letter required to start
• Upload your resume - ATS-friendly formats preferred (PDF or Word)
• Qualified candidates contacted within 1–2 business weeks for a screening call
• Interview process: Initial screen → Technical panel → CTO-level conversation

We review every application and respond to all qualified candidates.