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Product Manager- Digital Transformation II USA

First Solar Inc

Walbridge, OHJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Walbridge, OH
Work Authorization
Not specified

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Job overview

First Solar seeks an experienced Product Manager to lead IoT-enabled AI products for manufacturing operations. The role defines product vision, strategy, and roadmaps, and applies AI to improve productivity, operational efficiency, and costs. It also involves coordinating cross-functional teams, integrating IoT devices with cloud platforms, engaging customers, ensuring security and regulatory compliance, and conducting market analysis across the product lifecycle.

Skills & qualifications

RequiredNice to have

Skills

Product ManagementIoT SolutionsMachine LearningComputer VisionPredictive AnalyticsIoT ArchitectureManufacturing OperationsCross-Functional LeadershipProject ManagementProduct Line LeadershipFacilitationAnalytical ThinkingData AnalysisVerbal CommunicationWritten CommunicationTechnical CommunicationProduct Strategy

Qualifications

6+ Years Product Management Experience

Full job description

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 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 l

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