Enterprise Solution Engineer: AI Automation & Closures

Tekst.ai BV

Town of Belgium (WI)

On-site

USD 120,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Career growth

Job summary

Tekst.ai BV is seeking a Solution Engineer to be the technical backbone of our commercial engine. You will partner with Account Executives to prove Tekst's platform can automate complex back‑office processes for large enterprises.

In this role you’ll own technical deals, run discovery with IT architects, build PoCs via APIs and scripting, and feed requirements back to Engineering and Product to shape the platform. A strong closing mindset and clear communications are essential.

Qualifications

  • 2–5+ years in solutions engineering or technical consulting for enterprise SaaS.
  • Strong understanding of APIs and webhooks in enterprise environments.
  • Proficiency with scripting (Python or TypeScript) to build integrations.
  • Ability to communicate with CTOs and Heads of Operations.
  • Problem-solving in diverse and complex technical setups.

Responsibilities

  • Technical deal ownership: drive enterprise deals with Account Executives by showcasing Tekst capabilities.
  • Architecture & discovery: lead sessions with customer IT teams to map integration paths.
  • Build POc: create demos and PoCs using APIs to demonstrate automation impact.
  • Strategic feedback: relay technical requirements to Engineering/Product for roadmap input.
  • AI Trust architect: explain security/privacy and data handling of Tekst platform.

Skills

APIs & Webhooks
Enterprise architectures
Python
TypeScript
SaaS experience
Sales engineering
Communication
Problem solving

Job description

Tekst.ai BV is seeking a Solution Engineer to be the technical backbone of our commercial engine. You will partner with Account Executives to prove Tekst's platform can automate complex back‑office processes for large enterprises.

In this role you’ll own technical deals, run discovery with IT architects, build PoCs via APIs and scripting, and feed requirements back to Engineering and Product to shape the platform. A strong closing mindset and clear communications are essential.

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