Senior Product Manager - AI Agent

The Role

We are seeking an experienced Senior Product Manager to lead the definition and delivery of AI Agent capabilities in our CRM products for the life sciences industry. You will own the product design for agentic AI features, from agent use-case definition and human-in-the-loop design to quality evaluation and customer adoption, helping life sciences companies improve the effectiveness of their key commercial operations with AI.

What You’ll Do

• Define AI Agent use cases, including agent goals, workflows, context, tool usage, human-in-the-loop design, exception handling, and success criteria.
• Work with Engineering, QA, and Customers to deliver high-quality AI Agent capabilities.
• Define and monitor AI product quality metrics such as accuracy, task completion, reliability, user trust, adoption, and business value.
• Use customer feedback and real-world product performance to continuously improve AI Agent capabilities.
• Provide cross-functional leadership to align priorities, drive decisions, and ensure successful product delivery and go-to-market.

Requirements

• 2+ years working on a dedicated AI product team, shipping AI features as a core member.
• Hands-on experience designing, delivering, or continuously improving AI Agent products, including prompt/context engineering, human-in-the-loop workflows, and AI quality evaluation.
• 5+ years of experience in digital products, with demonstrated ownership of complex products or initiatives across the full lifecycle, from discovery and design through delivery, launch, adoption, and ongoing improvement.
• Extensive customer-facing experience, with the ability to independently lead customer discovery and communicate effectively with senior business stakeholders.
• Strong ability to understand complex customer workflows, identify the underlying business problems behind stated needs, and translate ambiguous requirements into clear product direction and solutions.

Nice to Have

• Experience with enterprise SaaS products, configurable platforms, or multi-tenant product environments.
• A technical background in software engineering, computer science, data science, machine learning, solution architecture, or a related field.
• Familiarity with concepts such as large language models, RAG, prompt and context design, tool calling, agent orchestration, APIs, and enterprise data integration.
• Experience in life sciences, pharmaceutical commercial operations, medical affairs, CRM, or another regulated industry.
• Experience designing products that use enterprise data, knowledge bases, unstructured content, or external information sources.
• Familiarity with AI governance, data privacy, information security, compliance, auditability, and responsible AI practices.