Head of AI-Native Product Operations
Pubblicato il 11-09-2026 - Lansweeper in Roma
Context & Impact
This is a newly created role at Lansweeper — built for a moment, not a backfill. For 21 years, Lansweeper has been a fast-moving company that has reinvented itself multiple times. Now we're facing the biggest shift yet: the AI era. Engineering is already on the cutting edge of AI-assisted development and QA. Product teams are actively using Claude, Atlassian Rovo, and other AI tools in their daily work. What's missing is unified leadership to turn that distributed adoption into a coordinated, compounding product advantage.
As Head of Product AI, you'll own the AI product strategy and roadmap, lead a team of product managers focused on AI features, and define the AI product vision and positioning that will shape how Lansweeper evolves in the market. Reporting directly to the CPO, you'll be the connective force between Engineering, Data Science, and GTM — making sure AI isn't just adopted, but systematically embedded into how Lansweeper builds, ships, and goes to market.
Challenge
The Main Challenges You'll Face Are
- Greenfield leadership mandate.
There is no predecessor and no inherited playbook. You are defining what AI product leadership looks like at Lansweeper — setting the vision, building the team's operating model, and establishing the discipline from the ground up.
- Coordinating across a complex, fast-moving organization. Engineering is already advanced in AI adoption; GTM is evolving rapidly. Your challenge is to bring these functions into a coherent, aligned AI product motion without slowing down teams that are already moving fast.
- Defining success in a discipline without established benchmarks. AI product management at this level of integration is still emerging across the industry. You'll need to build your own success metrics, investment frameworks, and evaluation criteria — and make them credible to leadership, investors, and the market.
Key Responsibilities
*AI Product Strategy & Roadmap*
- Own the AI product strategy and multi-