Head of AI-Native Product Operations
Pubblicato il 04-10-2026 - Lansweeper in Roma
Context & Impact
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For 21 years, Lansweeper has been a fast-moving company that is not afraid to reinvent itself. We've done so multiple times as the market, our product, and our customers have evolved. Now we're facing the biggest shift yet: the AI era. We're already well into it. Engineering is on the cutting edge of AI‐assisted code development and QA, and product teams are widely using Claude Cowork, Atlassian Rovo, and other AI tools in their daily work. What's missing is the connective layer.
Individual teams are adopting AI tools, but we lack the unified product workflows and tooling to turn that adoption into compounding, organization‐wide returns. This role sits at the center of Product at Lansweeper and exists to build that layer: designing, configuring, and maintaining the product workflows, use cases, and product‐owned tooling that sit on top of Lansweeper's shared company‐wide AI and data foundation.
Challenge
- Greenfield mandate.
No predecessor, no inherited toolkit, no established playbook. You define the discipline as you build it.
- Structural change, not evangelization. Lansweeper's teams are already bought in on AI. The challenge is driving rapid, coordinated change across product management, product marketing, UX, enablement, and the partner ecosystem to achieve higher economies of scale and prevent drift between functions.
- Two collaboration fronts. Engineering is the most advanced area and has the highest immediate need for process integration. At the same time, the interface between Product and the go‐to‐market organization needs to be sharper and more automated. Both require close partnership.
- Complex toolchain orchestration. Connecting agentic workflows across product planning, engineering, analytics, design, and communication platforms into reliable end‐to‐end systems.
- Defining success metrics in a d