Eli Lilly

Product Management Director to lead strategy, development, and execution of AI products and capabilities in the clinical space, focusing on AI-enabled software products in highly regulated environments. The role involves defining and owning product roadmaps for a complex ecosystem supporting clinical and regulatory workflows, partnering with engineering on technical standards for AI systems, and ensuring solutions meet quality, compliance, and trust expectations.

Product Management leader to shape strategy and development of custom software platforms for discovery research, focusing on computational drug design and optimization for large molecules. The role involves integrating agentic AI capabilities into research workflows, accelerating design-make-test-learn cycles, and enabling scientists to compose complex computational pipelines through AI-assisted interfaces. Requires partnership with computational biologists, protein engineers, and engineering teams to translate research needs into scalable software platforms.

Seeking a senior leader to drive the strategy, operations, and scale-up of AI-powered support products and agentic experiences at Lilly. The role focuses initially on conversational AI products (chatbots) across IT, HR, Finance, and external channels, delivered through multiple platforms. Responsibilities include owning the product operations roadmap, building and managing AI agents and human operators, driving cross-functional alignment, and ensuring exceptional user experiences at scale. The role also involves a platform transformation mandate to consolidate disparate chatbot and support experiences into a unified, agentic platform, identifying new AI agent opportunities, and rationalizing the product portfolio. This is a high-impact role for someone who thrives at the intersection of product strategy, technical operations, and AI, navigating ambiguity and driving ownership.

Product Manager for GenAI products at Eli Lilly, focusing on defining vision, strategy, and execution. Requires experience with GenAI concepts, agent evaluation, and AI tools, bridging user needs with technical delivery in a healthcare context.

This role focuses on developing and implementing a digital strategy for integrating AI, ML, and automation into quantitative pharmacology and pharmacometrics workflows within a healthcare setting. The goal is to accelerate drug development, position the organization as an industry leader in AI-enabled drug development, and ensure scientific rigor and regulatory compliance. The role involves evaluating emerging AI technologies, leading pilots, partnering with IT and data science teams, driving AI adoption through organizational change, and defining success metrics.