Startups · AI

Customer Support Engineer (Product / Technical Support)

Cogram · Berlin, BE, DE / Berlin, Berlin, DE / Remote (US) · Remote

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About Cogram

The AI Platform for Architects and Engineers. Backed by Y Combinator.

About the role

We’re looking for a support engineer who can combine strong technical skills with clear communication. You will be the connective tissue between customers and engineering: triaging requests, diagnosing issues, improving observability, and closing the loop with fixes or workarounds. You’ll work across our stack and tooling, and you’ll help shape how we deliver reliable, predictable service.

What they're looking for

  • Proficiency in SQL (ideally PostgreSQL): you can read/query schemas, debug queries, and reason about performance
  • Familiarity with Python, React/JavaScript, or both, comfortable reading and writing small patches or instrumentation
  • Experience debugging production issues using logs, metrics, traces, and error tracking
  • Strong written communication: clear summaries, precise steps to reproduce, and respectful customer updates
  • Bias for action and ownership over outcomes, comfortable operating with autonomy
More about this role

Timezone: Within CET ±3 hours

We're a team of applied researchers, engineers, and technologists building the next generation of tools for architects and engineers – for the people who design and build the physical world. Our customers use Cogram to run projects ranging from housing, hospitals, bridges, airports, to skyscrapers, datacenters, factories, and so much more.

Completing such complex projects on time and budget is a difficult problem, so architecture and engineering firms use a host of software tools to coordinate and keep track of work. Most of those tools were built decades ago and haven't changed much since. They're often expensive, hard to use, and treat AI as a checkbox or a future promise. We’ve set out to fix that, and leading architecture and engineering firms around the world use Cogram’s AI systems to help manage their projects. When we make new tools, we usually start by asking: what if we redesigned the existing tools from scratch, for the AI era? What should these tools look like if we build them today, knowing what AI can do?

We're also working on AI systems that help with the design process. Current AI is very capable with language and code, but less strong...

Read the full posting on Cogram's site ↗

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