Product Strategy & AI (Spring 2027)

📍 Job Overview

Job Title: Product Strategy & AI (Spring 2027)

Company: First Solar (US)

Location: Perrysburg, Ohio, United States

Job Type: Full time

Category: Revenue Operations / Strategy & Analytics

Date Posted: 2026-10-02T20:21:50

Experience Level: 0-2 years (Internship)

Remote Status: On-site

🚀 Role Summary

• This role focuses on leveraging Artificial Intelligence and data analytics to drive product strategy and enhance business intelligence within the renewable energy sector.

• Interns will engage in hands-on projects involving financial modeling, market research, and the development of AI-driven tools to support decision-making.

• The position requires strong analytical and problem-solving skills, with an emphasis on translating complex data into actionable business insights.

• Collaboration with cross-functional teams and external stakeholders is a key component, fostering a dynamic and impactful learning environment.

📝 Enhancement Note: This is an internship role specifically for the Spring 2027 semester, targeting students with a background in analytical or technical fields. The "Product Strategy & AI" title, combined with responsibilities like financial modeling, market research, and AI tool development, strongly suggests a role within a strategic operations or analytics function, rather than traditional product management. The focus on "AI-enabled business insights" and "market strategy" points towards a GTM or revenue-focused analytical capacity.

📈 Primary Responsibilities

• Lead and contribute to AI-enabled business intelligence, market strategy, and project finance focused initiatives.

• Develop and deploy dashboards, AI assistants, or automated intelligence tools to provide stakeholders with readily accessible data and actionable insights.

• Build, run, and interpret financial models, scenario analyses, and market sensitivities using AI-enhanced workflows.

• Develop and maintain knowledge bases, market intelligence repositories, or AI copilots that deliver accurate, actionable insights while minimizing hallucinations.

• Leverage third-party intelligence, market data, and AI tools to provide best-in-class intelligence and analyze policy impacts on First Solar’s business.

• Support and manage engagements with 3rd-party consultants, data providers, and intelligence platforms.

• Work collaboratively with multiple departments across First Solar, participating in or leading meetings with staff and stakeholders.

• Conduct comprehensive market research, analyze large datasets, and identify key trends, policy impacts, and strategic opportunities.

• Develop an understanding of First Solar's business model, technology landscape, and AI-enabled analytics environment.

• Upon completion of the internship, present accomplishments and business impact to the leadership team.

📝 Enhancement Note: The emphasis on "AI-enabled business intelligence, market strategy, or project-finance focused project" indicates a direct contribution to strategic operational planning and execution, with a strong analytical and forward-looking component. The requirement to present "business impact to the leadership team" highlights the importance of ROI and tangible results, typical of operations roles focused on business growth and efficiency.

🎓 Skills & Qualifications

Education:

• Graduate or Undergraduate students preferably in an analytical or technical field (Finance, Economics, Business Administration, Engineering, etc.).

• Overall GPA greater than or equal to 3.00 (based upon 4.0 scale).

• First Solar encourages all interns to register their internship with their university. Experience:

• Prior internship experience or relevant project work in areas such as financial modeling, data analytics, or AI applications is beneficial.

• Experience building AI assistants, chatbots, or knowledge management solutions to improve business insights and decision-making. Required Skills:

• Excellent interpersonal and communication skills, including written communication.

• Flexible, adaptable, and eager to learn emerging AI technologies and business applications.

• Proficiency in financial modeling, data analytics, and AI-enabled business insights.

• Ability to conduct market research, analyze large datasets, and identify key trends, policy impacts, and opportunities.

• Strong business acumen and ability to engage effectively with stakeholders.

• Demonstrates an analytical and solution-oriented approach to problem-solving.

• Highly proficient in Microsoft 365 applications, including Copilot.

• Proficiency in Python, data visualization, dashboard development, and workflow automation.

• Legal authorization to work in the U.S. is required.

• Ability to travel within the U.S. & Canada. Preferred Skills:

• Experience with specific AI platforms or machine learning frameworks.

• Familiarity with renewable energy markets and policy landscapes.

• Experience working with large, complex datasets.

📝 Enhancement Note: The blend of analytical skills (financial modeling, data analytics) with emerging AI technologies (AI assistants, Copilot) suggests a role at the intersection of traditional business operations and cutting-edge tech. The requirement for Python and data visualization points to hands-on analytical work. Proficiency in Microsoft 365 and Copilot indicates a need to integrate AI tools into daily workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of completed projects involving data analysis, financial modeling, or AI tool development.

• Case studies showcasing the ability to translate complex data into actionable business insights and strategic recommendations.

• Examples of dashboards or reports created to visualize key performance indicators (KPIs) and trends.

• Documentation of any workflow automation or process improvement initiatives undertaken. Process Documentation:

• Ability to document and communicate analytical processes, model assumptions, and data sources clearly.

• Experience in outlining the steps taken to develop and deploy AI-driven solutions or business intelligence tools.

• Capacity to explain the impact and ROI of implemented processes or analytical solutions.

📝 Enhancement Note: While this is an internship, candidates are expected to showcase practical application of their skills. A portfolio should highlight projects where they've applied analytical techniques, developed models, or explored AI applications to solve business problems, emphasizing the process from data gathering to insight generation and presentation.

💵 Compensation & Benefits

Salary Range:

• $22.00 - $25.00 per hour. Benefits:

• This is an internship position, therefore standard full-time benefits may not apply. However, interns typically gain invaluable experience, networking opportunities, and potential for future full-time employment.

• Exposure to cutting-edge AI technologies and their application in the renewable energy sector.

• Mentorship from experienced professionals in product strategy and AI.

• Opportunity to contribute to real-world projects with tangible business impact.

• Potential for academic credit if registered with their university. Working Hours:

• Standard full-time internship hours, approximately 40 hours per week.

• The role is on-site, requiring physical presence at the Perrysburg, OH Manufacturing and Technology Center.

📝 Enhancement Note: The hourly rate of $22-$25/hr is competitive for a technical internship in the Midwest US, reflecting the specialized skills in AI and data analytics. The benefits are focused on professional development and career advancement, typical for internship programs.

🎯 Team & Company Context

🏢 Company Culture

Industry: Renewable Energy / Solar Technology Manufacturing

Company Size: First Solar is a significant player in the solar industry, known for its thin-film photovoltaic (PV) technology. The company operates globally with substantial manufacturing and R&D facilities.

Founded: 1999. First Solar has a long-standing history in the solar industry, evolving its technology and market presence significantly over the years.

Team Structure:

• The internship is located at the Perrysburg, OH Manufacturing and Technology Center, suggesting integration within a hub of innovation and operational excellence.

• Interns will likely be part of a dedicated internship program, working alongside experienced professionals and mentors in relevant departments (e.g., Strategy, Analytics, Finance, Technology).

• Collaboration is a cornerstone of First Solar's culture, encouraging cross-functional teamwork to drive innovation and problem-solving. Methodology:

• Data-driven decision-making is paramount, with an emphasis on rigorous analysis and interpretation of market and operational data.

• The company fosters a culture of innovation, encouraging smart risks, learning from failures, and continuous improvement.

• AI and advanced analytics are increasingly integrated into operational strategies to enhance efficiency, predict trends, and drive product development.

Company Website: https://www.firstsolar.com/

📝 Enhancement Note: First Solar's commitment to sustainability and technological advancement creates an environment where roles focused on AI and data strategy are crucial for future growth. The culture emphasizes innovation, collaboration, and a data-centric approach, aligning well with the requirements of this AI and Product Strategy internship.

📈 Career & Growth Analysis

Operations Career Level: This role is an entry-level internship, serving as a foundational experience for students aspiring to careers in business strategy, data analytics, AI, or operations within the technology and renewable energy sectors.

Reporting Structure: Interns will report to a designated mentor and potentially a program manager, working under the guidance of experienced professionals within their assigned department at the Perrysburg facility.

Operations Impact: This internship offers the opportunity to contribute to critical business initiatives by providing data-driven insights and AI-powered solutions that can influence product strategy, market positioning, and financial forecasting for a leading renewable energy company.

Growth Opportunities:

• Skill Development: Deepen expertise in financial modeling, data analytics, AI tools (including Copilot), Python, and data visualization. Gain practical experience in market research and strategic analysis.

• Industry Exposure: Gain firsthand experience in the rapidly evolving renewable energy sector and understand the strategic challenges and opportunities presented by AI integration.

• Networking: Build professional connections with industry experts, mentors, and peers, which can lead to future career opportunities.

• Potential for Full-Time Conversion: Successful interns may be considered for future full-time roles within First Solar, particularly in areas related to analytics, strategy, or technology.

📝 Enhancement Note: This internship is designed to provide a comprehensive learning experience, offering a clear pathway for interns to develop specialized skills and gain valuable industry exposure, potentially leading to a full-time career within First Solar's operations or strategy teams.

🌐 Work Environment

Office Type: The role is based at First Solar's Manufacturing and Technology Center in Perrysburg, OH, which is a functional site for manufacturing, R&D, and administrative operations.

Office Location(s): 28101 Cedar Park Blvd, Perrysburg, OH 43551. This location is situated near Toledo, Ohio.

Workspace Context:

• The work environment is likely a mix of office-based work and potentially some interaction with manufacturing or technology development areas, depending on project scope.

• Collaboration is encouraged, with access to modern office facilities, meeting rooms, and technology necessary for data analysis and AI development.

• Interns will be provided with the necessary tools and technology, including Microsoft 365 and potentially specialized software for data analysis and AI applications. Work Schedule:

• The internship follows a standard full-time schedule, approximately 40 hours per week, from Monday to Friday.

• Given the on-site nature, the schedule is fixed and requires consistent presence at the Perrysburg facility.

📝 Enhancement Note: The Perrysburg facility is a key operational hub for First Solar, offering a dynamic environment where interns can observe and contribute to both manufacturing and strategic functions, with a focus on leveraging technology and data.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resumes and academic records to assess qualifications and GPA.

• Technical/Behavioral Interviews: Candidates will likely undergo interviews focusing on analytical skills, problem-solving abilities, understanding of AI concepts, and communication effectiveness. Expect questions related to financial modeling, data analysis, Python, and experience with AI tools.

• Case Study/Project Discussion: Candidates may be asked to discuss past projects or a hypothetical scenario related to product strategy or AI application, demonstrating their thought process and analytical approach.

• Cultural Fit Assessment: Interviews will also gauge adaptability, eagerness to learn, and alignment with First Solar's collaborative and innovative culture.

Portfolio Review Tips:

• Highlight Relevant Projects: Showcase projects that demonstrate proficiency in financial modeling, data analysis, Python, AI tool development, or dashboard creation.

• Quantify Impact: Where possible, quantify the results or impact of your projects (e.g., "improved efficiency by X%", "identified Y key market trends").

• Showcase Process: Clearly articulate your approach, the tools used, and the insights derived from your projects. Explain how you tackled challenges.

• Tailor to the Role: Emphasize projects related to AI, market strategy, or business intelligence, aligning your portfolio with the specific requirements of this internship.

Challenge Preparation:

• AI & Data Concepts: Refresh knowledge on core AI concepts, machine learning basics, data analysis techniques, and financial modeling principles.

• Python & Visualization: Be prepared to discuss your experience with Python for data manipulation and analysis, and your ability to create insightful visualizations.

• Problem-Solving Scenarios: Practice answering "how would you approach X problem" questions, focusing on a structured, data-driven methodology.

• Company Research: Understand First Solar's business, its position in the renewable energy market, and its commitment to AI and sustainability.

📝 Enhancement Note: The interview process will likely involve demonstrating practical skills through discussion of past projects and potentially a case study. A strong portfolio that clearly illustrates hands-on experience with AI, data analytics, and financial modeling will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft 365: High proficiency expected, including advanced features and integration with Copilot.

• Python: Essential for data analysis, scripting, and potentially building AI models.

• Data Visualization Tools: Experience with tools like Tableau, Power BI, or libraries within Python (e.g., Matplotlib, Seaborn) for creating dashboards and reports.

• AI/ML Platforms: Familiarity with AI assistants, chatbots, or knowledge management solutions. Specific platforms may vary, but understanding the principles is key.

Analytics & Reporting:

• Financial Modeling Software: Proficiency in building and interpreting financial models, likely using Excel and potentially specialized financial analysis tools.

• Data Analysis Libraries: Python libraries such as Pandas, NumPy for data manipulation and analysis.

• Business Intelligence Platforms: Experience with BI tools for reporting and dashboard creation is highly beneficial.

CRM & Automation:

• Workflow Automation Tools: Experience or understanding of tools that automate business processes.

• Data Integration Concepts: Understanding how different data sources can be integrated for comprehensive analysis.

📝 Enhancement Note: Proficiency in Python, data visualization tools, and Microsoft 365 with Copilot are explicitly required. Familiarity with financial modeling software and business intelligence platforms will significantly enhance a candidate's profile for this role.

👥 Team Culture & Values

Operations Values:

• Innovation: A strong emphasis on exploring new technologies, including AI, to drive forward-thinking solutions and maintain a competitive edge in the renewable energy market.

• Data-Driven Decision Making: Valuing rigorous analysis, evidence-based insights, and the use of data to inform strategic choices and operational improvements.

• Collaboration: Fostering a team-oriented environment where knowledge sharing and cross-functional teamwork are encouraged to achieve common goals.

• Accountability: Expecting individuals to take ownership of their contributions, learn from outcomes, and drive projects to successful completion.

• Sustainability: A core company value, reflected in its business operations and technological advancements towards a cleaner energy future.

Collaboration Style:

• Cross-functional Integration: Interns will work across various departments, requiring strong communication and the ability to adapt to different team dynamics and project needs.

• Mentorship and Guidance: The internship program emphasizes learning from experienced professionals, with regular check-ins and feedback sessions.

• Open Communication: A culture that encourages asking questions, sharing ideas, and providing constructive feedback to improve processes and outcomes.

📝 Enhancement Note: First Solar's culture values innovation, data integrity, and collaborative problem-solving. Interns are expected to be proactive learners, contribute actively to team projects, and align with the company's overarching mission of advancing sustainable energy solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the latest advancements in AI and determining their practical business applications within the renewable energy sector can be challenging.

• Data Complexity and Hallucinations: Working with large, complex datasets and ensuring the accuracy and reliability of AI-generated insights, particularly minimizing "hallucinations" in AI assistants.

• Cross-Functional Collaboration: Effectively coordinating with diverse teams that may have different priorities and technical backgrounds requires strong communication and adaptability.

• Translating Technical Concepts: Communicating complex AI and data insights to non-technical stakeholders in a clear and actionable manner.

Learning & Development Opportunities:

• AI & Data Science Skill Enhancement: Hands-on experience with cutting-edge AI tools, Python for data science, and advanced analytics techniques.

• Industry-Specific Knowledge: Deep dive into the renewable energy market, understanding its dynamics, policy impacts, and technological trends.

• Strategic Thinking: Developing a strategic mindset by contributing to market analysis, financial modeling, and product strategy discussions.

• Professional Networking: Building relationships with industry leaders, mentors, and peers that can support long-term career growth.

• Presentation Skills: Honing presentation skills through project deliverables and final leadership presentations.

📝 Enhancement Note: This internship presents a significant opportunity for growth by tackling complex challenges at the forefront of AI and sustainable energy. The focus on practical application and leadership presentations ensures interns develop both technical and soft skills critical for future success.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data to influence a decision or solve a problem." (Focus on your process, the data used, and the outcome).

• "How would you approach building an AI assistant to help stakeholders find market intelligence more efficiently?" (Discuss data sources, desired features, potential challenges like accuracy).

• "Walk me through a financial model you built. What were the key assumptions and sensitivities?" (Be ready to explain your methodology and the business implications).

• "How do you stay updated on emerging AI technologies and their business applications?" (Demonstrate proactive learning and curiosity). Company & Culture Questions:

• "Why are you interested in First Solar and the renewable energy industry?" (Connect your passion to their mission).

• "How do you approach working in a team, especially with individuals from different departments?" (Highlight collaboration and communication skills).

• "What do you see as the biggest opportunities for AI in the solar industry?" (Showcase your strategic thinking and industry awareness).

• "Describe a situation where you had to adapt to a significant change or learn a new technology quickly." (Demonstrate flexibility and learning agility). Portfolio Presentation Strategy:

• Structure Your Projects: For each project, clearly outline the problem, your approach/methodology, the tools/technologies used, the results, and the business impact or key learnings.

• Quantify Achievements: Use numbers and metrics wherever possible to demonstrate the scale and impact of your work.

• Focus on AI & Analytics: Highlight projects that specifically showcase your skills in AI, data analysis, financial modeling, or dashboard development.

• Be Prepared for Q&A: Anticipate questions about your technical choices, challenges faced, and how you would improve upon your work.

• Practice Your Pitch: Rehearse your presentation to ensure it is concise, clear, and engaging, fitting within any time constraints.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong analytical foundation, a keen interest in AI and its business applications, and an understanding of First Solar's mission. Be ready to articulate your technical skills with concrete examples from your academic or project work.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Oracle Cloud portal link.

• Customize Your Resume: Highlight specific coursework, projects, and technical skills relevant to AI, data analytics, financial modeling, and Python. Ensure your GPA is clearly stated.

• Prepare Your Portfolio: Compile examples of your work that showcase your capabilities in data analysis, financial modeling, AI tool development, or dashboard creation. Tailor this to demonstrate your understanding of product strategy and business intelligence.

• Research First Solar: Familiarize yourself with their mission, technology, market position, and recent news. Understand their commitment to sustainability and innovation.

• Practice Interview Responses: Prepare to answer behavioral, technical, and situational questions, focusing on your analytical approach, problem-solving skills, and eagerness to learn about AI and renewable energy.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.