Product Manager

We're looking for a Product Manager to own search and recommendations at Go1 — the systems that determine whether the right learning reaches the right person at the right time. Today, the burden of relevance sits with the L&D admin. They log in, they search, they scroll. Admins curate manually because the system can't confidently match content to their context. Your job is to flip that. You'll make our search and recommendation systems meaningfully smarter and more personal - so the platform does the heavy lifting instead of the human. 

We bring together high-quality learning content and make it simple for teams to discover, manage, and deliver learning across their organization. Our customers use Go1 to support personalized employee development, meet compliance needs, and keep skills up to date. Go1 supports millions of learners around the world. As AI reshapes the content landscape, the value is no longer in having more courses, it’s in knowing what learning is needed in the moment it matters. Discovery, personalization, and intelligence are becoming the differentiator. This role sits at the heart of that shift. 

• You're early on in your PM career: But have proven experience with both strategy and execution.
• Passionate about search and discovery systems: You get excited about embedding models, semantic search, ranking algorithms, and recommendation systems. You follow developments in this space because you find it genuinely interesting — not because the JD told you to.
• Data-driven but not data-paralysed: You know what good measurement looks like, but you don't wait for perfect instrumentation before shipping. You can be scrappy about measurement, transparent about what signals you're tracking, and vocal about what's working and what isn't.
• You bring energy to execution You drive delivery with urgency and don't wait for others to set the pace. You're comfortable pushing a team to move faster while keeping the work focused on what matters most.
• Systems-thinker: You care about feedback loops, signal quality, and how improving one part of the system compounds across others — not just shipping the next UI change.
• AI-fluent: You understand the difference between traditional ML and LLM-based approaches. You know how to work with probabilistic systems and can reason about when to use which approach. 
• Open by design: You naturally communicate your work, your experiments, and your outcomes broadly. You build confidence in the team's direction through transparency and tempo, not just through results.