Product Engineering Intern
At a glance
Highlights
- Real production impact
- Hands‑on ownership of projects
- Exposure to AI and automation
- Potential full‑time conversion
- Berlin office
Why this role might suit you
The internship offers hands‑on experience building production systems in a fast‑growing tax technology company, with exposure to AI, automation, and cross‑functional collaboration, providing a strong foundation for a career in operational engineering.
Skills
About the role
Our mission
We are building the operating system for the €20B German tax advisory industry.
At Limetax, we acquire established tax advisories and transform them into high-performing, technology-enabled businesses. Instead of building software in isolation, we work directly on real companies, real workflows, and real data.
Our goal is simple: reduce manual work in tax advisory and redefine how tax operations are run — through applied AI.
Your mission
As a Product Engineering Intern, you will work on systems that improve and automate real operational workflows inside modern tax firms.
You won’t be working on theoretical side projects or internal mockups. From day one, you will contribute to systems and workflows that are actively used in production across accounting, payroll, reporting, and client operations.
At the same time, this internship is designed to give you hands-on exposure to how scalable operational systems are built in practice. You will work closely with founders, operators, engineers, and tax professionals while gradually taking ownership of projects with close support from the team.
Your work will directly impact how tax professionals operate on a daily basis.
How your day-to-day will look like
Analyze Operational Workflows
Understand and map workflows across accounting, payroll, reporting, and client communication.
Build Workflow Systems
Design and improve operational systems using internal software, APIs, automation tools, and AI.
Identify Bottlenecks
Analyze repetitive work, operational inefficiencies, and workflow failure points.
Prototype Fast
Build MVPs and internal tooling to validate operational improvements quickly.
Improve Operational Reliability
Help turn fragile manual workflows into scalable, repeatable systems.
Operate in Production
Monitor, evaluate, and continuously improve systems running in real operational environments.
Collaborate Closely
Work directly with founders, operators, engineers, and tax professionals to improve how work gets done.
Think in Systems
Focus on processes, scale, reliability, and operational excellence — not just individual tasks.
Is it you we are looking for?
You are...
Studying Computer Science, Information Systems, Business Informatics, Engineering, Operations, or a related field
Interested in automation, AI, operational systems, and workflow design
Curious about how businesses actually operate behind the scenes
Comfortable working in fast-moving and ambiguous environments
Structured, analytical, and highly execution-oriented
Someone who enjoys solving operational problems and improving workflows
Interested in building systems that are used in real production environments
Comfortable working hands-on with tools, data, and processes
Excited to take ownership early on while learning directly from an experienced team
Able to collaborate with both technical and non-technical stakeholders
Experience with Python, APIs, automation tools, Notion, Airtable, Zapier, Make, or AI tooling is a plus.
Why Limetax?
Real impact from day one
You will work on systems that are actively used in production and directly improve real operational workflows across multiple firms.
Real world problems
Work with real processes, real operational constraints, and real company data — not isolated demo environments.
Ownership early on
You won’t just support — you will take ownership of meaningful projects and improvements from early on.
Tight feedback loop
See how your work performs in real workflows and iterate quickly.
Steep learning curve
Learn how scalable operational systems are built in practice while working closely with experienced builders.
Path to full-time
Strong performance can directly lead to a full-time role.
Ideal Start Date
From 01.08.2026 onwards
Location
This role is based in Berlin.
Questions about this role
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What's the typical salary for Full-Stack Engineer in Germany?
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