IoT & AI Manufacturing Product Manager II

JMJ PHILLIP; Perrysburg Township (OH); On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Limited travel 0-5%

Job summary

JMJ PHILLIP is seeking an experienced Product Manager II - Digital Transformation to lead IoT- and AI-enabled manufacturing solutions. You will shape strategy, roadmaps, and cross-functional execution across engineering, R&D, data science, marketing, and sales to improve productivity, quality, and cost efficiency.

Your role focuses on scalable IoT architectures, AI-driven insights, and collaboration with distributed teams to deliver high-impact products in manufacturing environments.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 6+ years of product management experience in IoT solutions within manufacturing.
• Experience with AI technologies such as machine learning, computer vision, or predictive analytics.
• Strong understanding of manufacturing processes and operational challenges.
• Experience with cloud platforms such as AWS IoT or Azure IoT Hub.
• Understanding of IoT architecture, hardware, software, and communication protocols.
• Experience with agile product development methodologies.
• Strong analytical and data-driven decision-making skills.
• Proven ability to lead cross-functional teams and complex product initiatives.
• Excellent verbal and written communication skills, with the ability to translate technical concepts into business value.
• Ability to work effectively with globally distributed teams and multiple stakeholders.

Responsibilities

• Define and execute the product vision, strategy, and roadmap for IoT and AI-driven manufacturing solutions.
• Balance technology capabilities, customer value, profitability, and competitive positioning.
• Manage the product lifecycle from ideation through launch and post-launch optimization.
• Lead the integration of IoT devices, sensors, and systems with cloud platforms for real-time manufacturing data collection.
• Apply AI technologies such as machine learning, computer vision, and predictive analytics to manufacturing challenges.
• Support solutions for predictive maintenance, automated quality control, and process optimization.
• Ensure solutions are designed for scalability, reliability, and operational effectiveness.
• Collaborate with engineering, R&D, data science, marketing, sales, and other stakeholders.
• Lead complex product initiatives involving multiple teams and stakeholders.
• Facilitate alignment and drive results across globally distributed teams.
• Engage with customers to understand operational challenges, requirements, and opportunities.
• Translate customer needs into actionable product features and solutions.
• Conduct market research and competitive analysis to identify trends and opportunities.
• Ensure IoT and AI solutions follow applicable data security standards and regulatory requirements.
• Work with technical teams to address data protection, system security, and compliance considerations.
• Monitor product performance and use data-driven insights to guide decisions.
• Analyze IoT and AI data to identify opportunities for operational improvement.
• Continuously refine products based on customer feedback, market needs, and business performance.

Skills

Product management

IoT solutions

AI technologies

Cloud platforms

Cross-functional leadership

Data analytics

Communication skills

Agile methods

Manufacturing domain

Education

Bachelor's or Master's degree in Engineering, Computer Science, or related field

Tools

AWS IoT

Azure IoT Hub

Job description

JMJ PHILLIP is seeking an experienced Product Manager II - Digital Transformation to lead IoT- and AI-enabled manufacturing solutions. You will shape strategy, roadmaps, and cross-functional execution across engineering, R&D, data science, marketing, and sales to improve productivity, quality, and cost efficiency.

Your role focuses on scalable IoT architectures, AI-driven insights, and collaboration with distributed teams to deliver high-impact products in manufacturing environments.