Product Manager - Digital Transformation II
First Solar
Lead IoT & AI product development for manufacturing efficiency
3 days ago ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Perrysburg, OH
Onsite
Company Size
3,700 Employees
Service Specialisms
Engineering
Project Management
Design
Construction services
Technical Services
Consulting
Turnkey
Sector Specialisms
Energy
Utilities
Commercial
Industrial
Role
What you would be doing
ai integration
iot integration
data security
product roadmap
lifecycle management
market analysis
- 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.
- 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.
- 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.
- 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.
- Product Strategy & Roadmap: Define and execute the product vision, strategy, and roadmap for IoT and AI-driven solutions in manufacturing operations.
- IoT Ecosystem Management: Oversee the integration of IoT devices (sensors, actuators) with cloud platforms to collect real-time data from manufacturing environments.
- Data Security & Compliance: Ensure that all IoT devices and AI systems comply with data security standards and regulatory requirements specific to the manufacturing industry.
What you bring
iot
machine learning
tensorflow
aws iot
product management
mba
- 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.
- Leadership Skills:
- Demonstrated ability to facilitate alignment and results in a cross-functional, globally distributed environment
- Machine Learning frameworks (e.g., TensorFlow, PyTorch)
- Communication Skills: Excellent verbal and written communication skills. Ability to translate technical concepts into business value for non-technical stakeholders.
- Industry Knowledge: Deep knowledge of manufacturing processes, operational challenges, and how IoT/AI can be applied to solve them.
- IoT Platforms (e.g., AWS IoT Core, Azure IoT)
- Strategic Skills: Product Strategy development balancing technology capabilities, profitability, customer value, and competitiveness
- Predictive Analytics
- Familiarity with agile methodologies for product development.
- Proven ability to lead cross-functional teams in a fast-paced environment. Experience managing complex projects involving multiple stakeholders.
- 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).
- Demonstrated successes in a product line leadership role
- Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large-scale data collection and analysis.
- Bachelor’s or Master’s degree in Engineering, Computer Science, or related fields. An MBA is a plus.
- 0% - 5% (On occasion/as needed for training, etc.)
- Analytical Thinking: Data-driven mindset with strong analytical skills to interpret complex data sets from IoT devices and AI models for decision-making.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- candidates must complete a background check and any required tests before employment.
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Company
Overview
20 GW
Solar Installations Completed
Completed over 20 gigawatts of solar installations globally, demonstrating significant contributions to renewable energy projects worldwide.
- Focuses on manufacturing advanced photovoltaic (PV) solar modules and providing utility-scale PV power plants.
- Offers a range of solutions, from manufacturing to large-scale solar power projects, emphasizing sustainability.
- Pioneers a closed-loop recycling process for solar panels, reducing environmental impact.
- Drives clean energy transformation with integrated solutions including development, financing, and operation of solar plants.
- “Responsible Solar” — commitment to environmental stewardship from sourcing through end‑of‑life management
- “Principled foundation” — zero tolerance for human rights abuses and strong governance
- Transparency — first solar manufacturer to publish onsite third‑party social‑audit findings globally
- Innovation & technical excellence — industry‑leading efficiency, ultra‑low carbon footprint, fastest energy payback
34% Emissions Reduction
GHG Target
Aims to reduce absolute Scope 1 and Scope 2 GHG emissions by 34% by 2028.
Net-Zero by 2050
Long-Term GHG Goal
Company target to achieve net-zero GHG emissions by 2050.
100% Renewable Energy
US by 2026, Global by 2028
Commitment to using 100% renewable energy in U.S. operations by 2026 and globally by 2028.
88K Tonnes Recycling
Global PV Capacity
Annual photovoltaic recycling capacity reaching 88,000 tonnes.
- Since 2008, GHG intensity reduced ~77%; since 2020, energy per watt down 15%, water intensity down 48%
- 2023: manufacturing water recycling up 88%, 318M L recycled; water intensity down 6%, waste intensity down 28%
- Series 6 Plus and Series 7 TR1 modules achieved EPEAT Climate+ (≤400 kg CO₂ e/kWp)
- Manufacturing energy intensity per watt reduced 65% since 2009; goal: 74% by 2028
- Conducted RBA‑validated third‑party social audits across global manufacturing: U.S. and Vietnam received platinum rating; Malaysia facility assessed and corrective actions underway
- No detailed public gender statistics found
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