Product Manager

Responsibilities:

1. Content Supply Chain Workflow Ownership

• Own one or more end-to-end workflows across the content supply chain.
• Define workflow intent, outcomes, and value, not isolated features.
• Ensure workflows are coherent across regions, brands, and operating models.

2. Agentic AI Enablement

• Define how Agentic AI agents:

- Orchestrate tasks across the workflow

- Reduce manual effort and handovers

- Enable adaptive, learning systems

• Specify:

- Human-in-the-loop controls

- Governance and escalation points

- Compliance and trust requirements

• Partner with AI and Engineering teams to ensure feasibility.

3. Core Product as Infrastructure

• Develop Core Product as a configurable platform and infrastructure layer, not a standalone product.
• Define how core capabilities support:

- AI-driven workflows

- Modular configuration

- Enterprise scalability

• Ensure infrastructure decisions align with long-term workflow evolution.

4. Data Flow & Integration Ownership

• Define the implementation of:

- End-to-end data flows across the workflow

- Data ownership, dependencies, and movement

- Analytics and measurement implications

• Identify and document:

- Integration requirements (internal and external)

- System boundaries and constraints

• Work closely with Solution Consultants, Business Analysts and Architecture teams during discovery.

5. Commercialization & Value Realization

• Define the commercial logic of workflows:

- Value drivers

- Pricing implications

- Packaging options

• Ensure workflows can be:

- Explained clearly in commercial terms

- Supported by scalable pricing models

• Partner with Strategic Operations, Finance, and Sales to validate assumptions.

6. Customer & Market Validation (with Sales, Solutions, CSMs and Delivery)

• Collaborate with Sales and Solution Consultants on:

- Deep discovery and use-case validation

- Workflow-based demos

- Technical and data feasibility assessment

• Ensure customer insights directly influence:

- Workflow prioritization

- AI design decisions

- Commercial positioning

Requirements:

• 5+ years experience in Product Management or related strategic role
• Demonstrated success in defining product strategy and launching products that exceed business objectives
• Strong understanding of content supply chains in life sciences
• Experience designing end-to-end workflows, not just features
• Working knowledge of:

- Agentic AI concepts

- Platform/infrastructure thinking

- Data flows and integrations

• Ability to translate complex systems into clear value narratives
• Commercial acumen: pricing logic, value drivers, packaging concepts
• 3+ years of experience in Life Sciences industry
• Proven ability to influence cross-functional teams without formal authority
• Experience with pricing models, business case development, and financial analysis
• Deep knowledge of product lifecycle management
• Proficiency in Jira, Confluence, and product analytics tools
• English proficiency - upper-intermediate level or higher