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Customer Support Engineer

Clera

📍 Munich, DE0💼 Full-time🕐 today
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Role overview

Clera is hiring for the Customer Support Engineer role in Munich, DE. It is full-time, Mid-level level, in the Tech sector. It was posted today.

On TalentyGo you can review this job and apply more effectively: Charlie prepares an ATS-optimized resume and a cover letter tailored to "Customer Support Engineer" at Clera in about a minute. Before you apply, you can also check how well your profile fits, with a match score based on skills, experience, location and seniority.

Role
Customer Support Engineer
Company
Clera
Location
Munich, DE
Work mode
On-site
Employment
Full-time
Seniority
Mid-level
Sector
Tech
Posted
today

Description

About the Role

We're a Y Combinator–backed AI sales automation startup (Seed stage) building AI-driven infrastructure that helps distributors and manufacturers automate quoting and order processing. Our tight-knit team of ~15 is based in Munich, and we're hiring a Customer Support Engineer to own technical customer resolution end-to-end.

You'll sit at the intersection of product, engineering, and customers — debugging production issues, deploying AI agents to automate support workflows, and turning recurring problems into lasting product improvements. This is an on-site role with close daily collaboration with engineering and product.

What You'll Do

  • Investigate and reproduce production issues across product features, data pipelines, integrations, and workflows.

  • Dive into logs, databases, customer examples, and the codebase to identify root causes — and fix issues directly when possible.

  • Own technical resolution end-to-end, from initial triage through to verified fix.

  • Communicate clearly with customers to understand problems and ensure they feel supported throughout the process.

  • Design and deploy AI agents that automate customer interactions and accelerate issue resolution.

  • Operate and manage AI agent teams that assist investigation and flag when core engineering input is needed.

  • Produce clear technical write-ups for escalations, including reproduction steps and relevant data.

  • Document recurring issues, build internal playbooks, and propose product or process improvements.

  • Work closely in person with the founding team, engineering, and product as the company scales.

What We're Looking For

Must-haves:

  • 1+ years of experience in full-stack software engineering shipping production-grade code.

  • Hands-on experience with React, TypeScript, Python, and PostgreSQL in a full-stack environment.

  • Demonstrated ability to debug end-to-end across logs, databases, APIs, and unfamiliar codebases.

  • Experience owning technical customer resolution — investigation, reproduction, and working with product/engineering to implement fixes.

  • Experience designing or deploying AI-assisted support workflows or AI agents for customer support automation.

  • Comfortable communicating technical issues and resolutions to customers and non-technical stakeholders.

  • German language proficiency at B2 level or above (strong English also required for international collaboration).

  • Based in Munich or willing to relocate — this is a fully on-site role. No visa sponsorship available.

Nice to have:

  • Experience documenting recurring issues and building internal playbooks or runbooks.

  • Prior experience in a startup or small-team environment with close collaboration between customers, product, and engineering.

  • Background in enterprise software, ERP/CRM integrations, or B2B SaaS.

Location & Work Arrangement

This is a fully on-site role based in Munich, Germany. Candidates must be located in Munich or willing to relocate. Visa sponsorship is not available.

Why Join

  • Early-stage opportunity with direct impact on product, engineering, and customer outcomes.

  • Work in person with a high-calibre, international team in Munich.

  • Backed by top-tier investors at the Seed stage with strong early customer traction across distribution and manufacturing sectors.

  • Opportunity to shape how AI-assisted support is built from the ground up.

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