Senior Product Manager - GenAI

GE Vernova • Town of Niskayuna, NY

103d • $152,000 - $254,000

About The Position

The Product Manager for GenAI at GE Vernova plays a crucial role in the development and execution of GenAI-powered products that transform business processes. This role is essential to our mission of pioneering AI-driven innovation and enhancing user experiences across the enterprise. The Product Manager will work with across GE Vernova and with the GenAI Portfolio Manager to identify, prioritize and build out GenAI products. These products (several) focus on delivering improvements and value through the lens of the Safety, Quality, Delivery, and Cost (SQDC) framework, measuring the impact of GenAI initiatives. Additionally, the Product Manager facilitates cross-business coordination, leveraging GenAI applications to drive operational improvements and foster innovation across Vernova. Expertise in AI, combined with strong business acumen, is pivotal in translating complex technical challenges into strategic opportunities that propel the organization forward. These duties extend to not only internally developed solutions, but also to external suppliers (e.g. 3rd party software). As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Requirements

• Bachelor's Degree in Mathematics, Computer Science, Engineering, or related field, with 10-15 years' relevant experience.
• Experience with GE/GE Vernova highly preferred.
• Ability to integrate business strategy with technical initiatives.
• Proven leadership in managing cross-functional teams and projects.
• Excellent communication and presentation skills to engage with diverse stakeholders and occasionally C-Suite executives.
• Experience building and deploying AI applications.
• Analytical skills to identify and solve risks and challenges.
• Technical Proficiency and Data-Driven Mindset.
• Must be 18 years or older.
• Legal authorization to work in the US is required.

Responsibilities

• Collaborate with cross-functional teams, including business, engineering, and research, to develop and execute product roadmaps that align with strategic objectives.
• Provide input, alongside the Portfolio manager, to build the product roadmaps.
• Work closely with data scientists, IT, and designers to ensure the development of robust AI solutions, maintaining technical rigor and introducing new methods for verifying success and identifying risks.
• Focus on delivering exceptional user experiences by understanding and addressing user needs in AI applications.
• Support the coordination of GenAI applications to drive improvements and innovations across Vernova.
• Utilize data analytics to measure product performance and make informed decisions. Define and monitor metrics and KPIs to ensure the success and impact of AI initiatives.
• Monitor product performance post-launch, gather user feedback, and iterate on product features to enhance value delivery.
• Oversee the interjection of GenAI products coming from 3rd party software suppliers and determine best technology fit.

Benefits

• Relocation Assistance Provided
• Competitive compensation
• Professional development
• Challenging careers
• Great work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree