Senior Product Manager, AI

Become a part of our caring community The Senior AI Product Managers work with cross-functional teams of engineers, designers, data scientists, and business stakeholders to build AI-powered solutions that solve real enterprise problems. We are looking for product managers who value moving quickly, from understanding a business challenge to prototyping an AI solution to proving its value. You will own a product area within our applied AI portfolio, define what success looks like, and drive a team to deliver it.

Key Responsibilities

• Responsible for contributing to a product area within our applied AI portfolio, defining success metrics, prioritizing problems, and identifying the best AI-driven strategies aligned with business goals.
• Work directly with business stakeholders to understand their operations, capture requirements, map processes, and identify high-impact opportunities for AI.
• Translate business problems into clearly scoped AI use cases and drive them from concept through prototyping to validation.
• Contribute to rapid prototyping of AI solutions, including GenAI applications, AI agents, conversational AI, and intelligent automation, to demonstrate feasibility and business value.
• Work with a cross-functional team of engineers, designers, and data scientists to define products, develop roadmaps, and drive progress against goals and milestones.
• Gather and analyze user research, business process data, and market analysis to inform product decisions and influence the wider product organization.
• Contribute to evaluation frameworks to test, benchmark, and compare AI models and platforms against enterprise requirements.
• Contribute to reusable product frameworks, playbooks, and best practices that accelerate AI solution delivery across the organization.
• Communicate product strategy, progress, and business value with clarity to all stakeholders.
• Support experimentation, A/B testing, and iterative design approaches to continuously improve AI solutions.

Required Qualifications Use your skills to make an impact

• 4+ years of relevant industry experience with at least 2 years in product management or a closely related role.
• Experience working with a cross-functional product team on a significant product area: crafting product vision and strategy, defining requirements, coordinating resources, and driving the team to achieve key milestones.
• Demonstrated experience working directly with business stakeholders to gather requirements, map processes, and identify opportunities for AI-driven improvement.
• Hands-on experience prototyping or building AI-powered solutions, not just supporting from a distance.
• Experience with AI/ML products and platforms in enterprise environments, including GenAI applications, conversational AI, or intelligent automation.
• Proven ability to drive measurable improvement in product performance and team effectiveness.
• Experience managing a product through multiple lifecycle phases, from discovery through prototyping, validation, and deployment support.

Product & Technical Skills

• Demonstrated ability to analyze large-scale, complex data sets and make effective decisions based on data.
• Experience integrating diverse requirements from a broad set of users and business contexts into a coherent product strategy.
• Practical understanding of AI/ML concepts and how they apply to real business problems.
• Experience with GenAI platforms, prompt engineering, and AI agent frameworks.
• Knowledge of AI solution architectures (e.g., RAG, conversational AI) sufficient to evaluate feasibility and guide implementation.
• Ability to contribute to evaluation frameworks for assessing AI model and platform performance.
• Familiarity with design and prototyping tools (e.g., Figma, Miro) to communicate product vision.
• Understanding of human-centered design principles and data visualization for AI-powered applications.
• Knowledge of responsible AI principles, bias mitigation, and ethical AI design.

Preferred Qualifications Strategy & Communication

• Ability to synthesize complex information and translate between business language and technical concepts with clarity.
• Experience with product strategy, roadmap planning, feature prioritization, and agile delivery.
• Ability to contribute to business cases and ROI models for AI investments.
• Demonstrated experience in communication, bringing extreme clarity to complex messages for diverse stakeho…