Product Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 92d ago
The date the source published, not the day we noticed it (2026-06-15). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 26d ago · last seen 3h ago
The listing
Responsibilities:
• 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:
• 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