Product Manager– Digital Transformation I USA
First Solar · Ohio, United States · 1 mo ago
Business Development$69k–$98k/yrFull-time
We need to output HTML fragment with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: About the role (maybe description), Responsibilities (Essential Responsibilities), Requirements (maybe Education/Experience), Qualifications (maybe same as Requirements?), Skills (Required Skills/Competencies), Pay (Estimated Salary Range), Schedule (Travel: 0%-5% maybe schedule? Not exactly schedule but travel). Benefits not mentioned. So we should not include Benefits. Also we need to avoid filler like "commensurate with experience". Not present.
We need to preserve all substantive info. Use
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: About the role (maybe description), Responsibilities (Essential Responsibilities), Requirements (maybe Education/Experience), Qualifications (maybe same as Requirements?), Skills (Required Skills/Competencies), Pay (Estimated Salary Range), Schedule (Travel: 0%-5% maybe schedule? Not exactly schedule but travel). Benefits not mentioned. So we should not include Benefits. Also we need to avoid filler like "commensurate with experience". Not present.
We need to preserve all substantive info. Use - for any list of duties/requirements/benefits. Use
for prose.
We must not repeat job title as heading. No Job ID.
We need to include sections only when posting has real specific content.
Let's extract content:
About the role: The first paragraph: "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."
We can put that as prose under
About the role
.
Responsibilities: The list under "Essential Responsibilities:" includes bullet-like sentences. We'll make - each.
Responsibilities list:
- 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.
Also there is "Reporting Relationships: Reports to the Manager of Product Management" and "This is an Individual contributor position" and "Travel: 0% - 5% (On occasion/as needed for training, etc.)". Travel could be schedule? Might be under Schedule section. We'll treat Travel as schedule.
Also "Estimated Salary Range: $68,800-98,000 US" => Pay.
Education/Experience: "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. High School Degree with 5 or more years of relevant experience."
We can split into Qualifications and Requirements? The instruction says use headings for Requirements, Qualifications, Skills. We need to decide what goes where. Typically Requirements = experience, education; Qualifications maybe similar. But we can put education under Qualifications, experience under Requirements. However we must not duplicate. Let's parse:
Education/Experience section includes both education and experience. We could put education under Qualifications, experience under Requirements. Also there is "Key Technologies" list: IoT Platforms, Machine Learning frameworks, Cloud Computing, Predictive Analytics, Data Security Protocols. That could be under Skills or Requirements? Probably Skills.
Then "Required Skills/Competencies:" includes subcategories: Experience, Technical Expertise, Industry Knowledge, Leadership Skills, Analytical Thinking, Communication Skills, Strategic Skills. That's definitely Skills.
Thus we can have:
Qualifications
: education details (Bachelor/Master, MBA plus, etc.)
Requirements
: experience details (2+ years product management, IoT, AI, cloud platforms, agile, high school +5 years etc.)
But we also have "Key Technologies" maybe under Skills as well.
We need to avoid duplication: The Required Skills/Competencies already includes Experience etc. So we might combine.
Simplify: Use sections:
- About the role (prose)
- Responsibilities (list)
- Qualifications (education)
- Requirements (experience + key technologies?)
- Skills (the Required Skills/Competencies list)
- Pay (salary range)
- Schedule (travel)
We must not include Benefits.
Now ensure we preserve all substantive info: include mention of "High School Degree with 5 or more years of relevant experience." That's under Requirements.
Include "Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large-scale data collection and analysis." Under Requirements or Skills? We'll put under Requirements.
Include "Familiarity with agile methodologies for product development." Under Requirements.
Include "Key Technologies IoT Platforms (e.g., AWS IoT Core, Azure IoT) Machine Learning frameworks (e.g., TensorFlow, PyTorch) Cloud Computing Predictive Analytics Data Security Protocols" Could be under Skills as bullet list.
Now Required Skills/Competencies: we need to capture each bullet.
Let's extract each subpoint:
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: Ability to lead cross-functional teams in a fast-paced environment. Experience managing complex projects involving multiple stakeholders. Experience in a product line leadership role 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
We'll make each as - maybe with bold headings inside? But we can just put the text.
Now Pay:
Pay
Estimated Salary Range: $68,800-98,000 US
Schedule: Travel: 0% - 5% (On occasion/as needed for training, etc.) So Schedule
Travel: 0% - 5% (On occasion/as needed for training, etc.)
Now ensure we don't include boilerplate like EEO etc. Remove.
Now output only HTML fragment.
Let's craft.
We'll need to wrap sections in appropriate tags.
Example:
About the role
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.
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.
Qualifications
Bachelor’s or Master’s degree in Engineering, Computer Science, or related fields. An MBA is a plus.
Requirements
- 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.
- Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large-scale data collection and analysis.
- Familiarity with agile methodologies for product development.
- High School Degree with 5 or more years of relevant experience.
Skills
- Key Technologies: IoT Platforms (e.g., AWS IoT Core, Azure IoT), Machine Learning frameworks (e.g., TensorFlow, PyTorch), Cloud Computing, Predictive Analytics, Data Security Protocols.
- 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: Ability to lead cross-functional teams in a fast-paced environment. Experience managing complex projects involving multiple stakeholders. Experience in a product line leadership role. 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.
Pay
Estimated Salary Range: $6
for prose. We must not repeat job title as heading. No Job ID. We need to include sections only when posting has real specific content. Let's extract content: About the role: The first paragraph: "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." We can put that as prose under
About the role
. Responsibilities: The list under "Essential Responsibilities:" includes bullet-like sentences. We'll make- each.
Responsibilities list:
- 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.
Also there is "Reporting Relationships: Reports to the Manager of Product Management" and "This is an Individual contributor position" and "Travel: 0% - 5% (On occasion/as needed for training, etc.)". Travel could be schedule? Might be under Schedule section. We'll treat Travel as schedule.
Also "Estimated Salary Range: $68,800-98,000 US" => Pay.
Education/Experience: "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. High School Degree with 5 or more years of relevant experience."
We can split into Qualifications and Requirements? The instruction says use headings for Requirements, Qualifications, Skills. We need to decide what goes where. Typically Requirements = experience, education; Qualifications maybe similar. But we can put education under Qualifications, experience under Requirements. However we must not duplicate. Let's parse:
Education/Experience section includes both education and experience. We could put education under Qualifications, experience under Requirements. Also there is "Key Technologies" list: IoT Platforms, Machine Learning frameworks, Cloud Computing, Predictive Analytics, Data Security Protocols. That could be under Skills or Requirements? Probably Skills.
Then "Required Skills/Competencies:" includes subcategories: Experience, Technical Expertise, Industry Knowledge, Leadership Skills, Analytical Thinking, Communication Skills, Strategic Skills. That's definitely Skills.
Thus we can have:
Qualifications
: education details (Bachelor/Master, MBA plus, etc.)Requirements
: experience details (2+ years product management, IoT, AI, cloud platforms, agile, high school +5 years etc.) But we also have "Key Technologies" maybe under Skills as well. We need to avoid duplication: The Required Skills/Competencies already includes Experience etc. So we might combine. Simplify: Use sections: - About the role (prose) - Responsibilities (list) - Qualifications (education) - Requirements (experience + key technologies?) - Skills (the Required Skills/Competencies list) - Pay (salary range) - Schedule (travel) We must not include Benefits. Now ensure we preserve all substantive info: include mention of "High School Degree with 5 or more years of relevant experience." That's under Requirements. Include "Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large-scale data collection and analysis." Under Requirements or Skills? We'll put under Requirements. Include "Familiarity with agile methodologies for product development." Under Requirements. Include "Key Technologies IoT Platforms (e.g., AWS IoT Core, Azure IoT) Machine Learning frameworks (e.g., TensorFlow, PyTorch) Cloud Computing Predictive Analytics Data Security Protocols" Could be under Skills as bullet list. Now Required Skills/Competencies: we need to capture each bullet. Let's extract each subpoint: 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: Ability to lead cross-functional teams in a fast-paced environment. Experience managing complex projects involving multiple stakeholders. Experience in a product line leadership role 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 We'll make each as - maybe with bold headings inside? But we can just put the text.
Now Pay:
Pay
Estimated Salary Range: $68,800-98,000 US
Schedule: Travel: 0% - 5% (On occasion/as needed for training, etc.) SoSchedule
Travel: 0% - 5% (On occasion/as needed for training, etc.)
Now ensure we don't include boilerplate like EEO etc. Remove. Now output only HTML fragment. Let's craft. We'll need to wrap sections in appropriate tags. Example:About the role
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.
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.
Qualifications
Bachelor’s or Master’s degree in Engineering, Computer Science, or related fields. An MBA is a plus.
Requirements
- 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.
- Experience working with cloud platforms (AWS IoT, Azure IoT Hub) for large-scale data collection and analysis.
- Familiarity with agile methodologies for product development.
- High School Degree with 5 or more years of relevant experience.
Skills
- Key Technologies: IoT Platforms (e.g., AWS IoT Core, Azure IoT), Machine Learning frameworks (e.g., TensorFlow, PyTorch), Cloud Computing, Predictive Analytics, Data Security Protocols.
- 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: Ability to lead cross-functional teams in a fast-paced environment. Experience managing complex projects involving multiple stakeholders. Experience in a product line leadership role. 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.
Pay
Estimated Salary Range: $6