Forward Deployed Engineer; FDE

About Mercura

Mercura is building AI software for the backbone of our economy.

Backed by Y Combinator, we raised a heavily oversubscribed round at one of the highest valuations in our cohort. As one of Europe's fastest growing startups, we surpassed $2M in ARR in in our first year
. Now, we are looking for team members ready to go all-in to help us reach our next milestone: $10M ARR by the end of 2026
.

One of our co-founders, Lukas, grew up in a trades family that has been active in the construction industry for over 115 years. Having worked on the construction site himself, he learned first‑hand how slow and manual quoting still is in the industry.

In an era where AI becomes ubiquitous, we set out on a deeply personal mission: bring AI to the backbone of our economy - to the companies that keep our world running. To amplify human expertise and free people to do what only humans can do.

As a Forward Deployed Engineer
, you will be the technical face of Mercura - the person who turns a signed deal into a live, working AI deployment.

You'll spend most of your time deep in technical work: integrating our software into complex enterprise systems, structuring customer data for AI, and adapting models to fit real‑world workflows. But you'll also engage directly with users and senior stakeholders daily - debugging their problems, understanding their processes, and walking C‑level stakeholders through a prototype you built overnight.

If you're a builder who gets energy from talking to customers and solving hard technical problems in messy, real‑world environments - this role is for you.

• Customer Implementation: Own the full technical implementation of our software after the sales handoff - from first kickoff to go‑live. You are the person who makes it work.

• AI Adaptation: Configure and finetune Mercura's AI for customer specific use cases - including prompt engineering and model behavior adjustments to match their domain and processes.

• Data Structuring & System Integration: Bring customer data into shape and build customer system integrations (e.g., SAP, APIs)

• Prototyping: Build prototypes that demonstrate new features or solve emerging customer problems and evolve them into scalable solutions

• Customer Relationships: Engage daily with technical, senior business stakeholders and users at customer organizations. You translate their pain into engineering decisions - and back again.

• Feedback Loop: Be the voice of the customer inside Mercura. Surface patterns, edge cases, and product gaps to the core engineering team with enough context to move fast.

• Learn to build a company
  :
  Over five Mercura alumni have gone on to found their own companies and raise millions after their time with us. At Mercura, you’ll take on real responsibility and gain the hands‑on experience only possible in a high‑growth startup.

• Guaranteed career advancement opportunities in a rapidly growing team

• An ambitious team that feels like family and sees their work as more than just a job

• Real shares in our company with the most favorable tax treatment - no VSOP/ESOP

• Free team dinner (up to 4x/week)

• Urban Sports Club  membership and access to a company bike - join our team workouts 3x/week

• Easy relocation to Munich - our office is located in the Werk1 Startup Incubator
  , where you can rent a 1‑bedroom apartment right next to the office for just €800/month

• Access to any AI or productivity tools you need

The target total compensation (cash+bonus+equity) for this position is €75,000-€145,000 annually. Actual offers and compensation are based on specific job duties, experience, performance, total rewards structure, and other considerations.

Technical

Skills & Experience:

• Full-Stack Engineering
  :
  You are comfortable across frontend, backend, and data pipelines (Python, React, Typescript, SQL, APIs)

• System Integrations
  :
  Experience connecting software to ERP systems, REST/GraphQL APIs, webhooks or B2B SaaS implementations is a plus

• Data Wrangling
  :
  Ability to make sense of messy, inconsistent real‑world data and build reliable structure around it fast

• AI & LLMs
  :
  Practical experience with LLMs,…