---
title: 'Product Manager at Lio'
canonical: 'https://feeny.ai/job/product-manager-lio-munich-e0wdzg2n6h11'
type: 'job'
last_seen: '2026-10-28'
---

# Product Manager at Lio

- **Company:** Lio
- **Location:** Munich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-24
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/lio/dde6b547-d528-43fa-a573-a234cc3fad06

## Job description

## About Lio

Build AI that runs inside the world's largest enterprises. Everyone is building AI. Very few are making it work at enterprise scale. 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. Backed by leading investors including a16z and Y Combinator, we're growing fast and tackling some of the most complex challenges in enterprise AI. We're looking for people who want to take ownership, solve hard problems, and build technology that delivers real business impact.

## The Role

We're looking for a Product Manager – Post-Sales & Customer Value who wants to make enterprise AI genuinely useful at scale. 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? Your mission is to connect what happens in real customer environments with how we continuously improve our products. 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. Product Management at Lio works differently. Our engineers own their features and make most product decisions. You won't spend your days managing backlogs, writing lengthy specifications, or assigning tickets. Instead, you'll bring customer insights, usage data, and commercial context to the table, enabling engineers and implementation teams to make better decisions. Your success is measured by the value our customers actually receive.

## What You'll Do

- Drive customer adoption: Work with Implementation and Customer Success teams to ensure customers successfully adopt our AI agents and integrate them into everyday workflows.
- Turn deployments into insights: Identify recurring implementation challenges, configuration issues, and product gaps across enterprise customers.
- Understand product performance: Analyze usage, adoption, automation rates, workflow completion, and time-to-value to identify opportunities for improvement.
- Connect customers with engineering: Establish regular feedback loops with users, implementation teams, and engineers to understand what works and what needs to change.
- Influence product decisions: Translate customer challenges into clear, evidence-based recommendations for improving existing agents and developing new capabilities.
- Build scalable knowledge: Own and continuously improve our product and implementation knowledge base, including deployment playbooks, best practices, and internal AI knowledge systems.
- Identify expansion opportunities: Recognize where additional capabilities can increase customer value, retention, and account expansion.
- Measure impact: Validate whether product improvements lead to better adoption, stronger automation outcomes, and measurable customer value.

## What We're Looking For

- 2+ years of experience in Product Management, Implementation, Customer Success, Solutions Consulting, or a comparable role.
- Experience in a fast-moving B2B SaaS startup or scale-up, ideally serving enterprise customers.
- Direct exposure to post-sales customer journeys, including implementations, adoption, retention, or expansion.
- Strong technical understanding and experience collaborating closely with engineering teams.
- Familiarity with AI and LLM-based products, including their capabilities and limitations.
- Analytical skills and the ability to independently evaluate usage data, identify patterns, and recommend improvements.
- Strong communication skills in English; German is a plus.
- A hands-on, customer-first mindset with a strong sense of ownership.
- Experience using AI tools to work more efficiently and solve problems.

Experience in procurement is a plus, but not required. What matters most is your ability to understand complex customer problems and turn them into meaningful product improvements.

Why Join Lio?

- Shape enterprise AI adoption: Help define how some of the world's largest companies successfully deploy and use AI agents.
- Direct product impact: Your insights will influence what we build and how our products evolve.
- Work with exceptional engineers: Collaborate with product-minded builders who move fast and take ownership of their work.
- See measurable results: Connect your work directly to customer outcomes, adoption, retention, and revenue.
- High ownership, low bureaucracy: Take responsibility, make decisions, and help build the processes that allow us to scale.

If you care more about real customer impact than managing roadmaps, we'd love to meet you.

## About Lio

## Company Overview
- **One-liner**: Lio builds the world's first multi-agent AI workforce for enterprise procurement, automating the entire purchasing process from request to delivery.
- **Entity Type**: Private (Series A)
- **Headquarters**: Munich, Bavaria, Germany
- **Founded**: 2022
- **Founders**: Vladimir "Vladi" Keil (CEO), Lukas Heinzmann (CTO), Till Wagner (COO)

## Core Business
- **Primary industry/industries**: Enterprise AI / Procurement Automation / Supply Chain Technology
- **Target customers**: Large global enterprises (150+ enterprise clients) — B2B, Enterprise
- **Mission or purpose statement**: To make work faster, smarter, and more human through AI — transforming procurement from a bureaucratic bottleneck into a frictionless, strategic function.

## Products & Services
- **Lio Multi-Agent Procurement Platform**: An AI-driven system where specialized agents work in parallel to research vendors, negotiate terms, manage approvals, and track deliveries. Integrates with existing P2P/ERP systems. Available in five layers that customers can adopt incrementally: Operational Automation, Agent-Augmented Buying, and others. [lio.ai](https://lio.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding of $30.1M (Series A led by Andreessen Horowitz)
- **Notable Investors/Partners**: Andreessen Horowitz (lead investor in Series A), Y Combinator (YC alum), Microsoft (Official Microsoft Partner)
- **Growth Signals**:
  - 1,000,000+ users across 150+ enterprises in less than three years
  - 100% customer retention — not a single customer has churned
  - 428.6% headcount growth YoY (from ~16 to 87 employees)
  - Awarded BME Procurement Excellence Award (with REHAU) and DPW Growth Award
  - Average 10% additional cost savings for customers and 85% reduction in operational workload

## Competitive Advantages
- **First-mover in multi-agent procurement**: World’s first multi-agent system purpose-built for procurement, not a generic automation tool.
- **Enterprise-grade security & compliance**: ISO 27001 certified, hosted on Microsoft Azure Europe, fully GDPR compliant — a critical moat for large enterprise adoption.
- **Deep integration ecosystem**: Official Microsoft Partner with secure integration into Microsoft architecture and existing P2P/ERP systems.
- **Proven ROI at scale**: >95% of procurement requests flow through standardized, compliant processes; customers achieve 10% cost savings and 85% workload reduction.
- **Zero churn**: 100% customer retention signals extreme product-market fit and stickiness.

## Strategic Focus
- **Global expansion**: Actively hiring for Head of US Sales, indicating a push into the North American market. Already has a presence in the US and UK.
- **Product depth**: Continuing to build out the five-layer platform to deepen automation and expand the scope of AI agents.
- **Talent scaling**: Rapidly growing headcount (87 employees, +428.6% YoY) across engineering, sales, implementation, and operations.

## Why Work Here
- **High-growth environment**: 428.6% YoY headcount growth means significant ownership, impact, and career acceleration for early hires.
- **Mission-driven work**: Employees describe it as "a rare chance to build something that truly matters" alongside people who "raise your standards for the rest of your career."
- **Strong engineering culture**: Founded by a CTO with expertise in machine learning; building the world's first multi-agent procurement system.
- **Premier benefits package**: Top-notch Apple equipment, Employee Stock Options (SOPs), EGYM Wellpass, Mobility Allowance, Breakfast/Dinner/Shakes & Snacks provided.
- **Culture**: "Lions" — a culture of celebrating milestones with true team spirit. Values-driven environment (specific values not publicly detailed).
- **Work policy**: Not explicitly stated as remote/hybrid/office, but headquartered in Munich with roles listed across Germany, US, and UK. Likely hybrid given the collaborative startup environment.
- **Notable perks**: Employee Stock Options (SOPs), premium equipment, meals on-site, wellness pass.

## Sources
1. [lio.ai](https://lio.ai/)
2. [lio.ai/about-us](https://lio.ai/about-us)
3. [LinkedIn Company Page](https://de.linkedin.com/company/lio-ai)
4. [Y Combinator Profile](https://www.ycombinator.com/companies/lio)
5. [Careers Page (Ashby)](https://jobs.ashbyhq.com/lio)

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