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Product Manager - Digital Transformation II

Job in Perrysburg, Wood County, Ohio, 43552, USA
Listing for: First Solar, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

First Solar reserves the right to offer you a role most applicable to your experience and skillset.

Basic Job Functions

We are seeking an experienced Product Manager with 6+ years of experience in IoT (Internet of Things) and AI technologies, specifically within the manufacturing industry. The ideal candidate will have a deep understanding of manufacturing operations and a proven track record of leveraging AI technologies such as machine learning, computer vision, and predictive analytics to drive operational efficiency and innovation. This role will be responsible for leading the development and execution of IoT‑enabled AI products that optimize manufacturing processes, improve productivity, and reduce operational costs.

Education

/ Experience
  • Required Qualifications
  • Bachelor's or Master's degree in Engineering, Computer Science, or related fields. An MBA is a plus.
  • Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large‑scale data collection and analysis.
  • Familiarity with agile methodologies for product development.
  • Key Technologies
  • IoT Platforms (e.g., AWS IoT Core, Azure IoT)
  • Machine Learning frameworks (e.g., Tensor Flow, PyTorch)
  • Cloud Computing
  • Predictive Analytics
  • Data Security Protocols
Required Skills / Competencies
  • Experience: 6+ years of product management experience with a focus on IoT solutions in the manufacturing industry. Experience with AI technologies such as machine learning, computer vision, or predictive analytics is essential.
  • Technical Expertise: Strong understanding of IoT architecture (hardware, software, communication protocols) and AI technologies applied in manufacturing operations (e.g., predictive maintenance using ML models).
  • Industry Knowledge: Deep knowledge of manufacturing processes, operational challenges, and how IoT/AI can be applied to solve them.
  • Leadership

    Skills:

    • Proven ability to lead cross‑functional teams in a fast‑paced environment. Experience managing complex projects involving multiple stakeholders.
    • Demonstrated successes in a product‑line leadership role.
    • Demonstrated ability to facilitate alignment and results in a cross‑functional, globally distributed environment.
  • Analytical Thinking: Data‑driven mindset with strong analytical skills to interpret complex data sets from IoT devices and AI models for decision‑making.
  • Communication

    Skills:

    Excellent verbal and written communication skills. Ability to translate technical concepts into business value for non‑technical stakeholders.
  • Strategic

    Skills:

    Product strategy development balancing technology capabilities, profitability, customer value, and competitiveness.
Essential Responsibilities
  • Product Strategy &

    Roadmap:

    Define and execute the product vision, strategy, and roadmap for IoT and AI‑driven solutions in manufacturing operations.
  • Cross‑functional Leadership:
    Collaborate closely with engineering, R&D, data science, marketing, sales, and other stakeholders to ensure seamless product development and delivery.
  • AI Integration:
    Leverage AI technologies (e.g., machine learning, computer vision) to enhance manufacturing operations, such as predictive maintenance, quality control automation, and process optimization.
  • IoT Ecosystem Management:
    Oversee the integration of IoT devices (sensors, actuators) with cloud platforms to collect real‑time data from manufacturing environments.
  • Customer‑Centric Development:
    Engage with customers to understand their pain points and requirements. Translate these insights into actionable product features that address real‑world challenges in manufacturing.
  • Data Security & Compliance:
    Ensure that all IoT devices and AI systems comply with data security standards and regulatory requirements specific to the manufacturing industry.
  • Market Research & Competitive Analysis:
    Conduct market analysis to identify trends, opportunities, and competitive threats. Use these insights to position the product effectively within the market.
  • Lifecycle Management:
    Manage the entire product lifecycle from ideation through launch to post‑launch performance tracking. Continuously iterate on product features based on customer feedback and market demand.
Reporting Relationships
  • Reports to the Manager of…
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