Solution Engineer - Presales

Tekst

Gent

Sur place

EUR 65 000 - 100 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive compensation and benefits
Direct visibility into deals you help?
Hands‑on experience with modern LLM
Ghent HQ team

Résumé du poste

Tekst is hiring a Solution Engineer (Presales) to partner with Account Executives and help enterprise prospects understand how Tekst fits their environment. You will lead technical discovery, build proof‑of‑concepts, and translate business challenges into a credible technical solution.

You will build demos and run discovery with IT architects, demonstrating API integrations and security practices. Join our growing team at Tekst's Ghent HQ to influence deals and product direction.

Qualifications

  • 2–5+ years in solutions engineering, sales engineering or technical consulting for enterprise SaaS.
  • Solid understanding of APIs, webhooks and enterprise software architectures; comfortable scripting (e.g. Python or TypeScript).
  • Able to speak credibly with both technical (CTO) and business (Head of Operations) stakeholders.
  • Enjoy digging into a messy technical environment and shaping a clear solution.
  • Strong presentation skills; able to explain complex AI concepts simply and clearly.

Responsabilités

  • Partner with Account Executives throughout the sales cycle, providing technical expertise in customer conversations.
  • Lead discovery sessions with customer IT architects to understand their existing systems and design how Tekst integrates.
  • Build proof-of-concepts and custom demos, using scripting and APIs, to show automation impact on the customer's own data.
  • Qualify use cases together with the customer and Account Executive.
  • Explain our architecture, data handling and security approach to help customers evaluate the platform with confidence.
  • Share what you learn in the field with Engineering and Product to help shape the roadmap.

Connaissances

Solutions engineering
Sales engineering
Technical consulting

Outils

Python
TypeScript
APIs

Description du poste

About Tekst

Tekst raised $13.5M in Series A funding to build Process Intelligence for the agentic era. We build the context layer that lets AI agents work reliably on back‑office processes at scale. Enterprise customers like Daikin, Colruyt, Mitsubishi and Nokia use Tekst to automate processes that actually matter.

Job Description
The Role

As a Solution Engineer (Presales), you work closely with our Account Executives to help enterprise prospects understand how Tekst fits their environment. You lead technical discovery, build proof‑of‑concepts, and translate business challenges into a credible technical solution.

What You'll Do
  • Partner with Account Executives throughout the sales cycle, providing technical expertise in customer conversations
  • Lead discovery sessions with customer IT architects to understand their existing systems and design how Tekst integrates
  • Build proof‑of‑concepts and custom demos, using scripting and APIs, to show automation impact on the customer's own data
  • Qualify use cases together with the customer and Account Executive
  • Explain our architecture, data handling and security approach to help customers evaluate the platform with confidence
  • Share what you learn in the field with Engineering and Product to help shape the roadmap
What You'll Get
  • Competitive compensation and benefits
  • Direct visibility into the deals you help close and the impact for clients
  • Hands‑on experience with modern LLM and agentic technologies
  • A growing, hands‑on team at our Ghent HQ
Requirements
  • 2‑5+ years in solutions engineering, sales engineering or technical consulting for enterprise SaaS
  • Solid understanding of APIs, webhooks and enterprise software architectures; comfortable scripting (e.g. Python or TypeScript)
  • Able to speak credibly with both technical (CTO) and business (Head of Operations) stakeholders
  • Enjoy digging into a messy technical environment and shaping a clear solution
  • Strong presentation skills; able to explain complex AI concepts simply and clearly
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