Sales Engineer (all genders)

Reposted 3 Days Ago
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Mid level
Artificial Intelligence • Software
The Role
As a Sales Engineer, you'll build prototypes and custom solutions, configure software for customer needs, lead technical workshops, and collaborate with teams to ensure deal success.
Summary Generated by Built In
The Opportunity

AI is fundamentally changing how enterprises operate.

As AI agents become capable of executing increasingly complex workflows, enterprise customers expect more than presentations—they want to see working solutions inside their own environments.

At Lio, we're building THE AI workforce for procurement.

As a Sales Engineer, you're not just supporting sales.

You're helping some of the world's largest enterprises understand what's technically possible with AI. You'll build prototypes, lead technical workshops, and work closely with customers to turn complex requirements into working software that proves real business value.

What You'll Do

In this role, you will:

  • Build prototypes, proof-of-concepts, and custom solutions that demonstrate the value of our platform

  • Configure and adapt Lio's AI platform to customer workflows and enterprise system landscapes

  • Lead technical deep dives, live demos, and workshops with procurement, IT, and architecture teams

  • Partner closely with Sales throughout the entire enterprise sales process as the technical expert

  • Collaborate with Product and Engineering to translate recurring customer needs into scalable product capabilities

  • Travel to customer sites for workshops and technical sessions (1–2 times per week)

  • Help shape how enterprise customers adopt AI in complex production environments

Your Profile

You'll thrive in this role if you:

  • Have experience building software. You're comfortable working with APIs, integrations, cloud platforms, or modern development frameworks.

  • Enjoy solving customer problems. You like understanding technical requirements and turning them into working solutions.

  • Take ownership by default. You move quickly, build pragmatically, and care about delivering measurable customer value.

  • Communicate confidently. You're comfortable presenting technical concepts to engineers, IT teams, and senior stakeholders alike.

  • Enjoy working across disciplines. You like collaborating with Sales, Product, Engineering, and customers to make complex projects successful.

  • Are curious about AI and excited about bringing cutting-edge technology into enterprise environments.

What's not required

You don't need experience in procurement software or every technology in our stack.

We're much more interested in strong technical fundamentals, curiosity, ownership, and your ability to solve customer problems than in checking every box on a technology list.

Why Join Lio?

Lio is backed by Andreessen Horowitz (a16z) and built at Y Combinator. We're bringing Silicon Valley ambition and speed to Munich while building one of Europe's leading AI companies.

From day one, you'll work with Fortune 500 companies across Europe and the US, helping some of the world's largest enterprises adopt AI. You'll build real solutions, influence our product through customer feedback, and work closely with founders, Sales, Product, and Engineering to shape how enterprise AI is deployed.

If you're excited about combining engineering, customer interaction, and cutting-edge AI, we'd love to hear from you.

Any questions about the role? Feel free to reach out to Cansel.

Skills Required

  • Hands-on experience with SaaS systems and APIs
  • Experience with cloud architectures and data-driven applications
  • Ability to build, extend, or integrate software
  • Comfortable in enterprise IT landscapes and cloud platforms
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The Company
HQ: Munich, Bayern
92 Employees
Year Founded: 2022

What We Do

Lio (formerly known as askLio) builds the world's most advanced AI procurement workforce for enterprise companies worldwide. Every purchase request is managed by specialized agents working in parallel - researching vendors, negotiating terms, managing approvals, and tracking deliveries simultaneously. What once consumed your team's hours is now executed by a coordinated network of AI Agents.

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