Senior Product Manager - Life Sciences Markets

Purpose The Senior Product Manager, Life Sciences Markets is responsible for driving market growth, product strategy, revenue expansion, and competitive differentiation across assigned Life Sciences markets within the Clinisys Scientific portfolio.

The role owns end-to-end product lifecycle management, defines pricing and packaging strategies, aligns go-to-market execution, and applies AI pragmatically within product strategy. Domain knowledge in Life Sciences and laboratory informatics is required, though success in this role is defined by the ability to grow a business through strong market understanding, commercial product leadership, and strategic investment decision-making.

The role is responsible for understanding and advancing Clinisys solutions across Life Sciences markets including research and biotech organizations, biobanking programs, contract/clinical research organizations (CROs), pharmaceutical development, quality control laboratories, and pharmaceutical manufacturing environments. This role identifies market opportunities, develops business cases, evaluates product investments, and ensures product strategy aligns with customer needs, competitive dynamics, regulatory requirements, and commercial growth objectives.

The successful candidate will bring experience within regulated Life Sciences environments (GxP, GLP, GMP) and understand how regulatory agencies such as the FDA influence laboratory systems, digital workflows, quality processes, and product development practices.

Clinisys’ AI Philosophy Building an AI-first organization is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI-enabled, cloud-based platforms that enhance laboratory workflows across healthcare, life sciences, and public health. At Clinisys, AI is integrated into core workflows to improve effectiveness, scalability, consistency, innovation, and business outcomes, and is considered a fundamental operating capability rather than an optional skill.

AI is considered a fundamental operating capability, not an optional skill.

The Senior Product Manager, Life Sciences Markets is expected to leverage generative AI, agentic workflows, predictive insights, and AI-enabled product management practices as part of daily work activities, including market analysis, customer research, business case development, roadmap planning, requirements definition, and strategic decision-making.

In addition to using AI to improve productivity and decision quality, the role is expected to identify opportunities where AI can create meaningful customer value, influence product strategy, and drive responsible AI adoption within Clinisys solutions. The successful candidate must demonstrate the ability to utilize AI responsibly while maintaining accountability for all product decisions, investment recommendations, roadmap priorities, customer communications, and business outcomes.

Key Responsibilities Product Strategy & Market Ownership

• Own strategic direction and outcomes for assigned Life Sciences markets and portfolio.
• Define market segments, buyer personas, and use cases.
• Conduct market/competitive research and convert insights into strategy.
• Analyze and grow TAM, SAM, and SOM.
• Identify growth opportunities and strategic investments through innovation, expansion, and partnerships.

Roadmap, Execution & SaaS Delivery

• Maintain product roadmap and translate strategy into epics/features.
• Partner with engineering on planning, trade-offs, and releases.
• Create clear requirements for development.
• Ensure high-quality SaaS delivery and sign-off on releases.

Business Planning & Go-To-Market Leadership

• Develop business cases, value propositions, and pricing.
• Align with Sales, Marketing, and Finance.
• Support positioning, messaging, demos, and proposals.
• Engage customers for validation, discovery, and feedback.

AI-Enabled Product Leadership

• Use AI/GenAI tools to support product work.
• Evaluate customer AI requests for feasibility and value.
• Collaborate with engineering on responsible AI delivery.
• Ensure AI features deliver measurable impact.

Cross-Functional Leadership & Ownership

• Serve as accountable owner for product outcomes.
• Lead internal and external discussions independently.
• Identify and communicate product, market or delivery risks proactively.

…