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Product Manager

LioMunich Office, GermanyFull-timeSalary not listed · Typical pay in GermanyPosted Oct 25, 2026
Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01Build 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.

02The 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.

03Product 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.

04What 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.

05What 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.

06Why 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.

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DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Oct 27, 2026
Pay benchmark
Average wage, Germany
EUR 54,840 average / year

Source: OECD Average annual wages, 2025

Work permit route
  • EU Blue Card: Recognised degree and a job offer above the salary threshold
  • Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
  • Opportunity Card (Chancenkarte): Points-based job search for up to one year

Official routes: Make it in Germany (Federal Government portal)

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