Director of Product, Industrial AI
Leading the strategic development of machine learning platforms for manufacturing and energy sectors.
Overview
This career centers on the intersection of physical infrastructure and digital intelligence. The day-to-day rhythm involves synthesizing technical constraints from engineering teams with the operational requirements of plant managers and safety officers. Success in this field requires a deep understanding of how machine learning models behave when applied to real-world sensor data, predictive maintenance, and autonomous systems. It is a role characterized by high-stakes decision-making where software performance directly impacts physical assets and worker safety.
The professional landscape is defined by long-term strategic planning and navigating the unique challenges of industrial digital transformation. Those who excel in this role often possess a blend of technical curiosity and institutional patience, as industrial cycles are typically slower than consumer software cycles. The work involves frequent collaboration with hardware engineers and data scientists to ensure that AI products are not only technically sound but also rugged enough for deployment in harsh or remote environments.
Responsibilities
- Define the long-term product roadmap for industrial machine learning applications and edge computing services.
- Collaborate with data science teams to establish performance benchmarks for predictive modeling and anomaly detection.
- Translate complex industrial requirements into technical specifications for software development teams.
- Manage stakeholder relationships across manufacturing, operations, and information technology departments.
- Oversee the go-to-market strategy for new AI features within the industrial product portfolio.
- Evaluate emerging technologies such as computer vision and digital twins for potential integration.
- Monitor product performance metrics to ensure safety compliance and operational reliability in the field.
Qualifications
- Extensive experience in product management specifically within the industrial software or machine learning domains.
- Proven track record of launching and scaling enterprise-grade SaaS or hardware-software integrated products.
- Deep technical understanding of data science workflows, model deployment, and cloud infrastructure.
- Strong background in manufacturing processes, energy management, or heavy industrial operations.
- Advanced degree in Engineering, Computer Science, or a related quantitative field.
- Demonstrated ability to lead cross-functional teams in a high-growth or enterprise environment.
Nice to have
- Master of Business Administration (MBA) with a focus on technology management or operations.
- Experience with industrial IoT protocols and edge device management at scale.
- Direct experience implementing AI solutions for carbon reduction or energy efficiency.
- Active involvement in industry standard bodies or industrial digital transformation consortia.
Work environment
- Standard professional office environment with periodic travel to manufacturing plants or remote sites.
- Collaboration-heavy culture requiring frequent synchronization across global time zones.
- High reliance on project management software, data visualization tools, and cloud platforms.
- Typical work hours follow standard executive schedules with occasional surges during product launches.
- Mix of digital communication and in-person site assessments to observe hardware-software integration.
Benefits & growth
- Compensation typically includes a significant base salary combined with performance-based bonuses.
- Equity packages or long-term incentive plans are common in technology-driven industrial firms.
- Clear progression path toward Vice President of Product or Chief Product Officer roles.
- Opportunities for professional development through industry conferences and executive leadership training.
- Significant influence over the digital transformation of traditional global industries.
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