zeit-ai

Forward-Deployed Engineer (f/m/d)

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Older posting · still listed ·

  • onsite
  • FullTime
  • Engineering
  • Munich
Work arrangement
onsite
Employment
FullTime
Stated compensation
EUR 70,000–230,000 1 YEAR
Stated sponsorship
Not stated
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Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
Compensation
EUR 70,000–230,000 1 YEAR
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified

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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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The opportunity LLMs are changing how analytical work gets done. Tasks that once required teams of data engineers can now be solved faster and more flexibly, if the underlying data and workflows are set up correctly. Zeit AI builds ZeitMind, the autonomous data engineer for the European mid-market. We work with real companies and real data: exports from ERP systems, CRM data, spreadsheets, internal databases. Our goal is that non-technical operators answer questions and run workflows using natural language that used to require external support or a lot of manual work.
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As a Forward-Deployed Engineer, you make this happen with the customer. You connect data and solve concrete business problems with our product. You are a technical problem solver, the customer's trusted partner, and you feed everything you learn back into the product.  What you will do sit with customers across different industries and understand how they operate today and where ZeitMind can take real work off their plate solve real-world problems where value is hidden inside of data model business logic in ZeitMind and get it running in production own customers end to end and build data applications to make critical business decisions feed what you learn back into the product  You will thrive here if you are comfortable and enjoy working directly with customers from Day 1 think in production systems, not one-off analyses care whether something works in production and delivers value to end users are comfortable with ambiguity and enjoy figuring out what the right solution is bring a solid technical foundation to work with large data sets and critically understand SQL logic studied at the intersection of business and computer science, such as business analytics, IT systems engineering or information systems speak English C1 or above; German is a big plus (much of our customer base runs in German) What we offer Munich is our home base, while we grow internationally from London. In-person by design, we support your relocation within Europe. Regular team offsites for product sprints and staying close to the frontier. Zeit AI package: daily lunch allowance, covered dinner in the office, wellpass membership, best tech & tools €5k referral bonus if we hire someone you refer. About the interview process First call with Elena Founder data interview with Marvin Decomposition interview Behavioural founder interview Reference check ZeitMind take-home case + Meet the team Offer Apply Still apply if you do not match every requirement. What matters most is ownership, curiosity, and the ability to execute in real-world environments.
Original formatting and links

The opportunity

LLMs are changing how analytical work gets done. Tasks that once required teams of data engineers can now be solved faster and more flexibly, if the underlying data and workflows are set up correctly.

Zeit AI builds ZeitMind, the autonomous data engineer for the European mid-market. We work with real companies and real data: exports from ERP systems, CRM data, spreadsheets, internal databases. Our goal is that non-technical operators answer questions and run workflows using natural language that used to require external support or a lot of manual work.

As a Forward-Deployed Engineer, you make this happen with the customer. You connect data and solve concrete business problems with our product. You are a technical problem solver, the customer's trusted partner, and you feed everything you learn back into the product.

 

What you will do

  • sit with customers across different industries and understand how they operate today and where ZeitMind can take real work off their plate

  • solve real-world problems where value is hidden inside of data

  • model business logic in ZeitMind and get it running in production

  • own customers end to end and build data applications to make critical business decisions

  • feed what you learn back into the product

 

You will thrive here if you

  • are comfortable and enjoy working directly with customers from Day 1

  • think in production systems, not one-off analyses

  • care whether something works in production and delivers value to end users

  • are comfortable with ambiguity and enjoy figuring out what the right solution is

  • bring a solid technical foundation to work with large data sets and critically understand SQL logic

  • studied at the intersection of business and computer science, such as business analytics, IT systems engineering or information systems

  • speak English C1 or above; German is a big plus (much of our customer base runs in German)

What we offer

  • Munich is our home base, while we grow internationally from London. In-person by design, we support your relocation within Europe.

  • Regular team offsites for product sprints and staying close to the frontier.

  • Zeit AI package: daily lunch allowance, covered dinner in the office, wellpass membership, best tech & tools

  • €5k referral bonus if we hire someone you refer.

About the interview process

  1. First call with Elena

  2. Founder data interview with Marvin

  3. Decomposition interview

  4. Behavioural founder interview

  5. Reference check

  6. ZeitMind take-home case + Meet the team

  7. Offer

Apply

Still apply if you do not match every requirement. What matters most is ownership, curiosity, and the ability to execute in real-world environments.

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