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 platforms, enabling seamless data exchange and cross-platform insights.
• Collaborate with internal and external engineering teams to ensure systems are scalable, reliable, and compliant, supporting diverse models, workflows, and data pipelines.
• Contribute to architectural decisions ensuring interoperability, privacy, security, scalability and compliance of the platform.

Impact Assessment and Model Improvement

• Define and track KPIs to evaluate platform performance, model effectiveness, and business value.
• Incorporate feedback from internal users and external biotech partners to guide roadmap evolution and ensure long-term platform relevance.

Cross-Functional Collaboration and Communication

• Coordinate closely with internal teams, including R&D, engineering, data science, and business development, to ensure the product meets user needs and business objectives.
• Communicate product plans, progress, and impact to leadership and other stakeholders.

Market and Competitive Analysis

• Monitor market trends and competitive landscape to ensure the platform remains differentiated and continues to address unmet needs.
• Perform competitive analysis to identify opportunities for innovation and potential threats to the platform's success.
• Explore new use cases and new user segments, driving platform awareness and adoption across the organization and partner networks.

Minimum Requirements

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Biology, Chemistry or related field.
• 5+ years of product management experience in cloud-based enterprise software, data platforms, or agentic AI platforms.

Additional Skills/Preferences

• Proven track record of managing all aspects of product development and lifecycle management, from ideation to launch and continuous improvement.
• Strong understanding of AI/ML technologies, cloud infrastructure, and large-scale multi-tenant architectures.
• Hands-on experience with Agile/Scrum methodologies and enterprise product management tools.
• Experience in pharmaceutical R&D or computational drug discovery.
• Familiarity with scientific data and informatics platforms.
• Background in software engineering, systems architecture, or MLOps.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in a matrixed organization.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$145,500 - $213,400

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.