Product Manager

<h2>About Lio</h2><p style="min-height:1.5em"><strong>Build AI that runs inside the world's largest enterprises.</strong></p><p style="min-height:1.5em">Everyone is building AI. Very few are making it work at enterprise scale.</p><p style="min-height:1.5em">At Lio, we're building the AI workforce for procurement. Our AI agents automate complex, mission-critical workflows across procurement, logistics, and finance for some of the world's largest companies.</p><p style="min-height:1.5em">Backed by leading investors including a16z and Y Combinator, we're growing fast and tackling some of the most complex challenges in enterprise AI.</p><p style="min-height:1.5em">We're looking for people who want to take ownership, solve hard problems, and build technology that delivers real business impact.</p><p style="min-height:1.5em"></p><h2>The Role</h2><p style="min-height:1.5em">We're looking for a Product Manager – Post-Sales &amp; Customer Value who wants to make enterprise AI genuinely useful at scale.</p><p style="min-height:1.5em">Getting AI agents into production is only the beginning. What matters is what happens next: Are customers actually using them? Are workflows becoming more efficient? Are we delivering measurable business value?</p><p style="min-height:1.5em">Your mission is to connect what happens in real customer environments with how we continuously improve our products.</p><p style="min-height:1.5em">You'll work closely with Implementation Managers, Forward Deployed Engineers, Customer Success, and our engineering teams to identify adoption barriers, improve existing agents, and turn individual customer learnings into scalable product improvements.</p><p style="min-height:1.5em"><strong>Product Management at Lio works differently.</strong></p><p style="min-height:1.5em">Our engineers own their features and make most product decisions. You won't spend your days managing backlogs, writing lengthy specifications, or assigning tickets.</p><p style="min-height:1.5em">Instead, you'll bring customer insights, usage data, and commercial context to the table, enabling engineers and implementation teams to make better decisions.</p><p style="min-height:1.5em">Your success is measured by the value our customers actually receive.</p><p style="min-height:1.5em"></p><h2>What You'll Do</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Drive customer adoption:</strong> Work with Implementation and Customer Success teams to ensure customers successfully adopt our AI agents and integrate them into everyday workflows.</p></li><li><p style="min-height:1.5em"><strong>Turn deployments into insights:</strong> Identify recurring implementation challenges, configuration issues, and product gaps across enterprise customers.</p></li><li><p style="min-height:1.5em"><strong>Understand product performance:</strong> Analyze usage, adoption, automation rates, workflow completion, and time-to-value to identify opportunities for improvement.</p></li><li><p style="min-height:1.5em"><strong>Connect customers with engineering:</strong> Establish regular feedback loops with users, implementation teams, and engineers to understand what works and what needs to change.</p></li><li><p style="min-height:1.5em"><strong>Influence product decisions:</strong> Translate customer challenges into clear, evidence-based recommendatio