Strategic Product Manager - Business Model Acceleration

ronment. You've earned your MBA not just as a credential, but as a way to connect market dynamics, business models, and customer needs.

What You'll Own

• Design and drive execution of product-led initiatives tied to our subscription model, usage metrics, and customer experience redesign

• Connect technical product decisions with commercial outcomes - from pricing and packaging to onboarding and support

• Build and maintain operational mechanisms to ensure roadmap execution translates into measurable business impact

• Shape how we define and measure value across the customer lifecycle (e.g., time-to-value, adoption velocity, renewal health)

• Collaborate closely with cross-functional stakeholders to align product strategy with operational execution

Required Qualifications

• MBA from a top-tier institution

• 5+ years of experience in product management, product strategy, or business operations in an enterprise software or industrial tech context

• Direct experience with power systems - ideally in utility operations, grid planning, EMS/DMS, DERMS, or related fields

• Demonstrated ability to influence without authority and lead through complexity

• Strong analytical, communication, and storytelling skills

Preferred Qualifications

• Experience with cloud-native software or business model transitions (e.g. perpetual to subscription)

• Familiarity with enterprise software support models, telemetry, or customer journey analytics

• Tools: Salesforce, Tableau, Aha!, Amplitude, Confluence, JIRA

Roles and Responsibilities

In this role, you will:
• Be responsible for defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
• Provide technical leadership to an agile team of 5-7
• Work with Product Line Leaders (PLLs) to understand product requirements & vision
• Translate requirements / vision into prioritized list of user stories and deliver to required timelines and quality standards
• Work with product line leaders and architects to develop multi generation software technology plans
• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse
• Support process improvements which guide the development, sustaining & support activities
• Work cross functionally with other business departments to align activities and deliverables
• Drive world-class quality in the development and support of products
• Ensure team receives consistent messages and has clear understanding of business direction, strategy and results
• Engage subject matter experts in successful transfer of complex domain knowledge
• Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
• Write code that meets standards and delivers desired functionality using the technology selected for the project
• Understand performance parameters and assess application performance
• Work on core data structures and algorithms and implement them using technology chosen
• Proactively share information across the team, to the right audience with the appropriate level of detail and timeliness

Education Qualification

• Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics
• Master's Degree/ PHD in Computer Science
• Experience with Windows and Unix / Linux based programming
• Experience working on software projects in the Energy domain (Energy Management, Oil & Gas, Power & Water)
• Certified Scrum Master and/or Product Owner

Technical Expertise:

• Advanced Degree: Master's Degree/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field

• GenAI Expertise: Extensive experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and GenAI application development

• Agent Development: Proven experience building intelligent agents, multi-agent systems, and autonomous software development tools

• AI/ML Frameworks: Proficiency with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.)

• Enterprise Software: Experience integrating AI solutions into enterprise software products and development environments

• Cloud Platforms: Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google AI Platform)

• MLOps: Knowledge of ML pipeline development, model deployment, monitoring, and governance practices

• Software Engineering: Strong background in software development with experience in Windows and Unix/Linux environments

• Domain Knowledge: Experience working on AI solutions in enterprise software environments, preferably in Energy domain (Energy Management, Oil & Gas, Power & Water)

• Certifications: AI/ML certifications, Certified Scrum Master and/or Product Owner preferred

Business Acumen:

• Innovation Mindset: Demonstrates initiative to explore cutting-edge AI technologies and novel approaches to solving software engineering productivity challenges

• Problem Decomposition: Skilled in breaking down complex AI problems, defining success metrics, and estimating AI project efforts including model development and deployment

• Industry Awareness: Demonstrates awareness of AI/ML trends, competitive landscape, and emerging technologies in software development automation

• Impact Analysis: Ability to analyze the impact of AI technology choices on business outcomes, development productivity, and user experience

Leadership:

• Project Ownership: Takes ownership of AI initiatives from conception to production deployment while mentoring team members on AI/ML best practices

• Stakeholder Communication: Ensures clear communication of AI capabilities, limitations, and business value. Able to translate technical AI concepts for non-technical stakeholders

• Strategic Alignment: Identifies opportunities to align AI initiatives with organizational strategy and makes recommendations for AI-driven improvements

• Performance Management: Continuously measures AI solution effectiveness, model performance, and team productivity against commitments and business objectives

Personal Attributes:

• Communication Skills: Strong oral and written communication skills with ability to explain complex AI concepts to diverse audiences

• Collaboration: Strong interpersonal skills for working with cross-functional teams including data scientists, software engineers, and business stakeholders

• Problem Solving: Effective AI solution design and troubleshooting abilities, including debugging complex AI system behaviors

• Persistence: Demonstrates resilience in tackling challenging AI problems, iterating on model performance, and driving results through experimentation and continuous improvement

• Ethical AI: Understanding of responsible AI practices, bias mitigation, and ethical considerations in AI system deployment

Roles and Responsibilities

In this role, you will:
• Be responsible for defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
• Provide technical leadership to an agile team of 5-7
• Work with Product Line Leaders (PLLs) to understand product requirements & vision
• Translate requirements / vision into prioritized list of user stories and deliver to required timelines and quality standards
• Work with product line leaders and architects to develop multi generation software technology plans
• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse
• Support process improvements which guide the development, sustaining & support activities
• Work cross functionally with other business departments to align activities and deliverables
• Drive world-class quality in the development and support of products
• Ensure team receives consistent messages and has clear understanding of business direction, strategy and results
• Engage subject matter experts in successful transfer of complex domain knowledge
• Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
• Write code that meets standards and delivers desired functionality using the technology selected for the project
• Understand performance parameters and assess application performance
• Work on core data structures and algorithms and implement them using technology chosen
• Proactively share information across the team, to the right audience with the appropriate level of detail and timeliness

Education Qualification

• Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics
• Master's Degree/ PHD in Computer Science
• Experience with Windows and Unix / Linux based programming
• Experience working on software projects in the Energy domain (Energy Management, Oil & Gas, Power & Water)
• Certified Scrum Master and/or Product Owner

Technical Expertise:

• Advanced Degree: Master's Degree/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field

• GenAI Expertise: Extensive experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and GenAI application development

• Agent Development: Proven experience building intelligent agents, multi-agent systems, and autonomous software development tools

• AI/ML Frameworks: Proficiency with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.)

• Enterprise Software: Experience integrating AI solutions into enterprise software products and development environments

• Cloud Platforms: Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google AI Platform)

• MLOps: Knowledge of ML pipeline development, model deployment, monitoring, and governance practices

• Software Engineering: Strong background in software development with experience in Windows and Unix/Linux environments

• Domain Knowledge: Experience working on AI solutions in enterprise software environments, preferably in Energy domain (Energy Management, Oil & Gas, Power & Water)

• Certifications: AI/ML certifications, Certified Scrum Master and/or Product Owner preferred

Business Acumen:

• Innovation Mindset: Demonstrates initiative to explore cutting-edge AI technologies and novel approaches to solving software engineering productivity challenges

• Problem Decomposition: Skilled in breaking down complex AI problems, defining success metrics, and estimating AI project efforts including model development and deployment

• Industry Awareness: Demonstrates awareness of AI/ML trends, competitive landscape, and emerging technologies in software development automation

• Impact Analysis: Ability to analyze the impact of AI technology choices on business outcomes, development productivity, and user experien

Leadership:

• Project Ownership: Takes ownership of AI initiatives from conception to production deployment while mentoring team members on AI/ML best practices

• Stakeholder Communication: Ensures clear communication of AI capabilities, limitations, and business value. Able to translate technical AI concepts for non-technical stakeholders

• Strategic Alignment: Identifies opportunities to align AI initiatives with organizational strategy and makes recommendations for AI-driven improvements

• Performance Management: Continuously measures AI solution effectiveness, model performance, and team productivity against commitments and business objectives

Personal Attributes:

• Communication Skills: Strong oral and written communication skills with ability to explain complex AI concepts to diverse audiences

• Collaboration: Strong interpersonal skills for working with cross-functional teams including data scientists, software engineers, and business stakeholders

• Problem Solving: Effective AI solution design and troubleshooting abilities, including debugging complex AI system behaviors

• Persistence: Demonstrates resilience in tackling challenging AI problems, iterating on model performance, and driving results through experimentation and continuous improvement

• Ethical AI: Understanding of responsible AI practices, bias mitigation, and ethical considerations in AI system deployment

Additional Information

The base pay range for this position is 176,000.00 - 220,000.00. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for a 20% Variable Incentive Bonus. This posting is expected to close on September 10, 2025.

*The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual.

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No