We are seeking an experienced Product Manager II – Digital Transformation to lead the development and execution of IoT- and AI-enabled solutions that improve manufacturing operations, productivity, quality, and cost efficiency. The ideal candidate will combine strong product management expertise with a deep understanding of manufacturing, IoT architecture, cloud technologies, and artificial intelligence.

Position Responsibilities

Product Strategy & Roadmap

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.

IoT & AI Solutions

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.

Cross-Functional Leadership

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.

Customer & Market Insights

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.

Data Security & Compliance

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.

Performance & Continuous Improvement

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.

Prerequisites

Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
6+ years of product management experience, preferably focused on IoT solutions within manufacturing.
Demonstrated 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.

Certifications (Preferred, but not Required)

Product Management certifications.
Agile or Scrum certifications.
Cloud certifications such as AWS or Microsoft Azure.
AI, machine learning, or data analytics certifications.

What the Role Offers

Competitive salary range of $135,000–$160,000, based on qualifications and experience.
Opportunity to lead innovative IoT and AI initiatives within a manufacturing environment.
High-impact individual contributor role with significant cross-functional visibility.
Opportunity to influence product strategy, digital transformation, and operational improvement.
Exposure to emerging technologies including artificial intelligence, machine learning, cloud computing, and industrial IoT.
Professional growth and opportunities to expand product leadership expertise.
Collaborative environment working with engineering, R&D, data science, and business teams.
Limited travel, approximately 0–5% as needed.

Why Perrysburg?

Perrysburg offers a strong business and manufacturing environment with access to a skilled workforce, established industrial infrastructure, and a growing technology ecosystem. Its proximity to major transportation routes and business centers provides convenient access for professionals working across manufacturing, engineering, technology, and supply chain functions.