Product Manager, TuneLab Platform

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Organization Overview

Lilly Catalyze360 is a comprehensive approach to enabling the early-stage biotech ecosystem by democratizing access to infrastructure, expertise, and resources. Through its interconnected pillars—Lilly Ventures, Lilly Gateway Labs, Lilly ExploR&D, and Lilly TuneLab—Catalyze360 strategically removes barriers that traditionally block bold science from becoming life-changing medicines, providing biotechs with flexible combinations of capital, physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning.

Lilly TuneLab is an artificial intelligence and machine learning (AI/ML) platform that provides biotech companies access to drug discovery models trained on years of Lilly's research data. Lilly estimates that this first release of AI models includes proprietary data obtained at a cost of over $1 billion, representing one of the industry's most valuable datasets used to train an AI system available to biotechnology companies.  By integrating advanced in silico modelling and federated learning, we connect pioneering machine learning algorithms, substantial computational power, exclusive datasets, and Lilly’s domain-specific knowledge to drive innovation in drug discovery and facilitate access to optimal therapies for patients. 

Job Summary

As a Product Manager for the TuneLab Platform, you will play a pivotal role in shaping the evolution of TuneLab to help streamline researchworkflows. This is a highly technical product management role for someone who thrives at the intersection of product strategy, cloud infrastructure, AI/ML systems, and computational drug discovery. You will drive the end-to-end product lifecycle from concept and design to delivery and scale ensuring our platforms are secure, user-centric, and capable of supporting enterprise-grade solutions. 

Key Responsibilities

Strategy and Vision 

• Develop and articulate a clear product strategy for the AI/ML platform, ensuring prioritized use-cases are aligned with corporate and R&D goals.
• Define the roadmap for each use case, prioritizing those with the highest potential impact on drug discovery.

• Collaborate with cross-functional stakeholders to ensure the platform’s strategic direction aligns with technical feasibility and market needs. 

• Define and monitor success metrics that inform platform performance and product impact. 

• Ensure the strategy incorporates market research, competitive analysis, leadership objectives, and user feedback. 

Product Development and Lifecycle Management 

• Manage the full product lifecycle from ideation and prioritization through design, implementation, and deployment. 

• Translate complex business and scientific needs into technically detailed requirements, user stories, and specifications. 

• Collaborate with engineering and data science teams to ensure high-quality execution and timely delivery of platform features. 

• Continuously refine and evolve the platform based on user feedback, market trends, and emerging technologies, ensuring it remains competitive and relevant. 

AI-First and Agentic AI Product Leadership 

• Drive the design and development of AI-first, agentic systems leveraging large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration frameworks to enhance scientific and operational workflows. 

• Partner with AI/ML engineering teams to deliver LLM-powered assistants, copilots, and intelligent workflow automation tools that increase efficiency and insight generation. 

• Translate emerging AI capabilities into secure, scalable, and user-friendly product features that comply with enterprise data privacy and ethical AI standards. 

• Collaborate with UX, data science, and engineering teams to design human-AI interaction models that balance automation, transparency, and user control. 

Technical Leadership and Platform Architecture 

• Lead the integration of TuneLab with commercial scientific and informatics