Product Manager- Digital Transformation I USA

First Solar

• $68K — $98K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of product management experience in IoT solutions for manufacturing
  • Bachelor's or Master's degree in Engineering, Computer Science, or related fields; MBA is a plus
  • Familiarity with cloud platforms (AWS IoT, Azure IoT Hub) for data analysis
  • Understanding of IoT architecture and AI technologies in manufacturing
  • Excellent communication skills to bridge technical and non-technical stakeholders

Responsibilities

  • Assist in defining and executing product vision and strategy for IoT and AI solutions
  • Collaborate with engineering, R&D, marketing, and sales for seamless product development
  • Leverage AI technologies for enhancements like predictive maintenance and process optimization
  • Oversee integration of IoT devices with cloud platforms for real-time data collection
  • Engage with customers to gather insights and translate them into actionable features
  • Ensure compliance with data security standards specific to manufacturing
  • Conduct market analysis to identify trends and competitive positioning
  • Manage product lifecycle from ideation through post-launch performance tracking

Benefits

  • Flexible work environment with minimal travel
  • Opportunities for professional growth and development
  • Collaborative team culture fostering cross-functional engagement
  • Involvement in cutting-edge technology applications in manufacturing
  • Potential for leadership opportunities in product management
Full Job Description
Job Description

We are seeking an experienced Product Manager with 2+ years of experience in IoT (Internet of Things) and AI technologies, specifically within the manufacturing industry. The ideal candidate will have an 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 collecting and documenting in the development and execution of IoT-enabled AI products that optimize manufacturing processes, improve productivity, and reduce operational costs.

Education/Experience:
• Required Qualifications
a. Bachelor's or Master's degree in Engineering, Computer Science, or related fields. An MBA is a plus.
b. Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large-scale data collection and analysis.
c. Familiarity with agile methodologies for product development.
d. High School Degree with 5 or more years of relevant experience.
• Key Technologies
a. IoT Platforms (e.g., AWS IoT Core, Azure IoT)
b. Machine Learning frameworks (e.g., TensorFlow, PyTorch)
c. Cloud Computing
d. Predictive Analytics
e. Data Security Protocols
Required Skills/Competencies:
• Experience: 2+ 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: Good understanding of IoT architecture (hardware, software, communication protocols) and AI technologies applied in manufacturing operations (e.g., predictive maintenance using ML models).
• Industry Knowledge: Knowledge of manufacturing processes, operational challenges, and how IoT/AI can be applied to solve them.
• Leadership Skills:
o Ability to lead cross-functional teams in a fast-paced environment. Experience managing complex projects involving multiple stakeholders.
o Experience in a product line leadership role
o Ability to facilitate alignment and results in a cross-functional, globally distributed environment
• Analytical Thinking: Data-driven mindset with good 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: Assist in defining and executing the product vision, strategy, and roadmap for IoT and AI-driven solutions in manufacturing operations.
• Cross-functional Collaboration: 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: Assist in managing 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 Product Management
• This is an Individual contributor position
Travel:
• 0% - 5% (On occasion/as needed for training, etc.)
Estimated Salary Range:
• $68,800-98,000
US Physical Requirements:
Office Physical Requirements:
All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation.

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