# Sales Engineer (all genders) at Lio (formerly askLio)

> Onsite · Germany · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Alio%3A84ee8e27-3980-476d-8d17-0bc5c14f54b0 (read 2026-11-15).

## Facts (observed)

- Company: [Lio (formerly askLio)](https://alderhq.app/companies/lio-formerly-asklio)
- Location text: Munich Office
- Where it can be done from (inferred): Onsite · Germany (evidence: "Location: Munich Office")
- Posted: 2026-10-05 (41 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/lio/84ee8e27-3980-476d-8d17-0bc5c14f54b0

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Munich, n 35): p25 €70k, median €88k, p75 €113k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Alio%3A84ee8e27-3980-476d-8d17-0bc5c14f54b0 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.