Senior Product Manager – Agentic AI & Platform Monetization

Position:

Senior Product Manager – Agentic AI & Platform Monetization

Job Description:

Are you looking to join a dynamic, DevOps-driven team within a large organization that still operates with a start-up mindset? Are you passionate about applied AI, agentic experiences, and building products that turn platform value into recurring revenue? This opportunity is for you.

Within the Cloud & AI division, you will join the Product team responsible for shaping ArrowSphere’s AI product family – the Assistant and the AI 360 Dashboard – driving the rise of AI Agents, and monetizing the platform’s value-added services across the distribution ecosystem.

Your Mission

As Senior Product Manager for AI Products & Monetization, you will own the end-to-end lifecycle of ArrowSphere’s AI portfolio and its commercial model. You will define, prioritize, and execute a roadmap that scales adoption of our AI experiences (Assistant, AI 360 Dashboard, Agents) while designing the pricing, packaging, and value-added services that convert that adoption into sustainable, recurring revenue.

Key ResponsibilitiesAI Product Management

• Own the roadmap for ArrowSphere’s AI product family: the Assistant, the AI 360 Dashboard, and AI Agents
• Gather, prioritize, and translate user needs and market signals into product requirements and a well-groomed backlog
• Partner with engineering, DevOps, data, and UX teams to deliver high-value AI features
• Define and track KPIs (adoption, engagement, retention, agent task success) and continuously optimize
• Ensure timely, high-quality delivery of AI initiatives from discovery to launch

AI & Agentic Strategy

• Shape the vision for agentic experiences that automate and augment partner and end-customer workflows
• Evolve the Assistant and AI 360 Dashboard into daily-use, decision-driving tools
• Identify high-impact use cases where AI Agents match partners to the right offers and next-best actions
• Stay ahead of GenAI and agentic trends and translate them into a differentiated product strategy

Platform Monetization & Value-Added Services

• Design pricing, packaging, and bundling for AI features and the platform’s value-added services
• Build and grow recurring revenue streams tied to AI usage, agents, and premium capabilities
• Define the commercial model (consumption, subscription, tiering) together with finance and sales
• Analyze margin, conversion, and monetization KPIs to optimize the value-to-revenue equation
• Identify and prioritize new value-added services across the distribution value chain

Stakeholder Management

• Collaborate with cross-functional teams: sales, marketing, finance, operations, support