Staff Product Designer

GE Vernova is seeking a Staff Product Designer to shape enterprise product and service experiences in complex industrial environments. The role leads product strategy, AI-enabled experience design, research, system design, and design-to-code quality across cross-functional teams, while mentoring designers and influencing product direction without direct people management.

Responsibilities:

• Translate customer needs, business goals, and technical constraints into clear product opportunities, experience principles, and measurable outcomes
• Lead cross-functional teams through story-mapping workshops to align on user journeys, define scope, and prioritize incremental delivery
• Apply systems thinking to connect near-term product decisions to longer-term platform and portfolio strategy
• Define human-centered interaction models for AI-enabled products, including conversational, recommendation, and decision-support experiences
• Balance automation with human oversight, transparency, and user control while applying responsible AI principles throughout design and evaluation
• Help teams identify where AI creates meaningful value and use AI-assisted tools to accelerate exploration while maintaining human judgment
• Lead design from early product definition through detailed interaction design, creating journey maps, workflows, prototypes, and production-ready specifications
• Design cohesive experiences across products, workflows, and user roles, applying established design-system patterns and proposing improvements
• Plan and conduct user research, including stakeholder interviews, usability tests, and focus groups, to validate design direction and uncover unmet needs
• Use research insights, product data, and business evidence to inform and evaluate design decisions
• Partner with engineering to ensure implementations align with approved designs, intended workflows, accessibility requirements, and design-system standards
• Review prototypes, builds, and pull-request artifacts to identify experience risks before release
• Establish scalable design-quality practices, strengthening connections among Figma specifications, reusable components, acceptance criteria, and implemented experiences
• Demonstrate comfort working in code-based and AI-assisted development environments to build, edit, or refine functional prototypes and collaborate more effectively with engineering
• Serve as a strategic design partner to product and engineering leaders, aligning customer value, business priorities, and technical feasibility
• Communicate product and experience strategy clearly to technical, business, and executive audiences, making assumptions, dependencies, and tradeoffs visible
• Provide critique and mentorship that strengthen the judgment and craft of other designers, and contribute reusable guidance that improves delivery across the organization

Requirements:

• Bachelor's degree in design, human-computer interaction, a related field, or equivalent practical experience
• At least 8 years of professional experience in product design, interaction design, or user experience, including complex enterprise or platform-level initiatives
• A portfolio demonstrating problem framing, interaction design, systems thinking, prototyping, and product impact
• Experience partnering with product management and engineering throughout the product lifecycle, including design systems and design-to-code workflows
• Demonstrated ability to influence product direction without formal authority
• Strong working knowledge of accessibility standards and inclusive design practices
• Experience contributing to design systems and collaborating with engineering on reusable components
• Experience using product analytics, customer feedback, and other evidence to evaluate product outcomes and inform design decisions
• GE Vernova will only employ those who are legally authorized to work in the United States for this opening
• Working knowledge of front-end technologies, including HTML and CSS, with the ability to understand how interface designs translate into implemented experiences
• Experience using code-based and AI-assisted development environments to build, edit, or refine functional prototypes