Padmi
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Viseven

pharmaceutical marketing · MarTech SaaS

Product Manager

Remote · PolandPosted 2 months ago
ProductUnspecifiedFull Time
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  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.
  1. 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.
  1. 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.
  1. 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.
  1. 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

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