AI Product Manager

Suna Solutions is seeking an experienced AI Product Manager to lead the strategy, development, and delivery of AI-enabled solutions across enterprise and scientific workflows. The role owns product vision and roadmaps, translates business challenges into requirements, partners with cross-functional teams to deliver AI products, and ensures governance, compliance, and continuous improvement.

Responsibilities:

• Own product vision, roadmap, priorities, and success metrics for AI use cases
• Identify and prioritize high-value AI opportunities aligned with business objectives
• Translate complex business challenges into clear product requirements, user stories, and actionable backlogs
• Partner with data science, engineering, and platform teams to deliver AI solutions from discovery through production
• Lead backlog prioritization, sprint planning, stakeholder reviews, and product demonstrations
• Develop MVPs by rapidly testing assumptions, refining scope, and balancing impact, feasibility, and risk
• Collaborate with stakeholders across R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, and Commercial functions
• Ensure AI solutions include appropriate governance, documentation, controls, auditability, and human-in-the-loop workflows
• Partner with Legal, Compliance, Quality, and IT teams on regulatory and data governance requirements, including GxP and validation considerations
• Define and track metrics related to adoption, business value, quality, performance, and risk
• Incorporate user feedback and performance data to continuously improve AI products

Requirements:

• 5+ years of product management experience across enterprise, digital, data, or technology products
• Hands-on experience delivering AI, analytics, automation, or intelligent workflow solutions
• Strong ability to translate ambiguous business problems into structured product requirements
• Experience partnering with engineering, data science, technology, and business teams
• Strong stakeholder management and communication skills
• Experience working in complex, matrixed, and/or regulated environments
• Life sciences, pharmaceutical, biotech, or medical device industry experience
• Knowledge of GxP, clinical, quality, regulatory, or validation environments
• Experience with Generative AI, LLMs, intelligent automation, machine learning, or advanced analytics
• Experience with enterprise platforms, Microsoft technologies, data platforms, or workflow tools
• Experience managing portfolio-level or multi-use-case AI initiatives