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

What we provide:

Originally posted on Himalayas