Product Manager, TuneLab Platform

Role Summary

As a Product Manager for the TuneLab Platform, you will play a pivotal role in shaping the evolution of TuneLab to help streamline research workflows. 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.

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.

Qualifications

• 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.

Skills

• 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.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Biology, Chemistry or related field.