Strategy / Corporate Finance Product Engineer (AI/Python) – Fintech

StrategyBridgeAI

München

Hybrid

EUR 110,000 - 150,000

Full time

28 hours ago
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Benefits offered by this job

Relocation: company apartment inMunich
Hybrid work in Munich
VSOP stock options

Job summary

StrategyBridgeAI in Munich is seeking a Strategy / Corporate Finance Product Engineer (AI/Python) to join a small, high-bar team. You’ll translate client problems into platform workflows and ensure they hold up in front of experts, bridging clients, engineers and finance.

You will own features end-to-end, becoming the domain expert and using AI/LLM tools with production-grade Python. Relocation to Munich, hybrid work, and rapid growth opportunities are offered.

Qualifications

  • Experience talking to clients, understanding problems and building solutions.
  • Ability to explain financial logic to engineers and financial professionals.
  • You write production-grade Python and ship on a shared codebase.
  • You use AI/LLM tools to move faster while maintaining code quality.

Responsibilities

  • Talk to clients — strategy, M&A and corporate development teams — to understand needs and where processes fail.
  • Turn manned analyses into workflows on our platform (market analysis, peer benchmarking, target screening).
  • Own a part of the platform end to end — from first client conversation to shipped feature.
  • Be the domain expert in the product, reflecting how a strategy professional would operate.

Skills

Client communication
Problem-solving
Python production code
AI/LLM tooling
Finance domain knowledge
German/English fluency

Tools

Python
LLM tools
APIs

Job description

We're setting new standards in corporate finance. With a focused team of 30 — one in four of us a former founder — we combine deep expertise in finance, data science and AI to build THE platform for deal & advisory teams, strategy departments, auditors and banks. We're one of the fastest-growing startups in the DACH-region and now scaling internationally. Our ambition is clear: to set the global standard.

Our Culture
  • Ownership. You own your topics end to end, from idea to shipped.
  • Strong opinions, loosely held. We argue hard about the right solution, then commit together.
  • Simple beats clever. The simplest thing that solves the problem wins. We'd rather ship clear code than impressive code.
  • Leave it better than you found it. Speed is a priority, but we don't trade it for technical debt that kills future velocity. We build simple, modular systems that are easy for the next person (or future you) to understand.
  • Mistakes are a gift. We make mistakes and learn from them. The one thing we avoid is making the same one twice.
  • Serious about the work, not about ourselves. We take our goals seriously, ourselves less so.
The role: Strategy / Corporate Finance Product Engineer (AI/Python) – Fintech

Small team, high bar. You’ll sit between our clients, our engineering team and our finance team. You’ll turn client problems into solutions on our platform — and make sure they hold up in front of experts. Your responsibilities will include:

  • Talk to our clients — strategy, M&A and corporate development teams — and understand how they work: which questions they need to answer and where today’s process breaks.
  • Turn what these teams do by hand into workflows on our platform — for example market analysis, peer benchmarking or target screening.
  • Own a part of the platform end to end — from the first client conversation to the shipped feature.
  • Be the domain expert in the product — you make sure what we build reflects how a seasoned M&A or strategy professional would actually do it.
Qualifications

to be successful in this role, you will need:

Must-haves
  • We expect the motivation and ownership of a founder. You own problems end-to-end and care more about the user outcome than your ticket description.
  • Structured problem-solver. You have experience talking to clients, understanding their problems and building solutions for them. You can explain financial logic to engineers and technical concepts to finance professionals.
  • You’d rather build product than slides — and you’ve already built something others use. When you do an analysis twice, you start building a tool for it.
  • 2+ years of full-time experience in strategy consulting, corporate development, M&A advisory, a fintech or similar.
  • Corporate finance and strategy, hands-on — you’ve built valuation models, analysed financial statements and worked on strategic questions such as market, peer or target analyses, on real deals or projects.
  • You build it yourself. You write Python that runs in production & ship on a shared codebase.
  • You use AI/LLM tools to move faster, but you have the technical depth to audit their output and maintain high code quality. No "AI slop".
  • Fluent German and English (C1 or higher).
Nice-to-haves
  • Own projects. Something you built outside of coursework or a job.
  • Experience building LLM-powered features in production.
  • You've taken data end to end — pulled it from somewhere (an API, a scraper, a database, a pile of files), cleaned it up, and built something on top.
  • API and service design, clean enough that someone else can build on it.

Not sure you tick every box? We care more about ambition and how fast you learn than about a complete checklist.

What we offer
  • Responsibility from day one: flat hierarchies, fast decisions, and the room to actually shape the product.
  • Competitive total compensation: base salary + bonus + VSOP.
  • Learning curve: one of the steepest you’ll find in Germany. Not an empty claim — ask the team.
  • People: Build with experts from Big Tech, Silicon Valley, Investment Banking, and Hedge Funds.
  • Setup: Munich, hybrid. Modern office, EGYM Wellpass, team events, tax-free benefits.
  • Relocation: company apartment in Munich available on request.
Hiring process

We’re an equal‑opportunity employer. This role is open to all genders (m/f/x). We value diverse backgrounds and perspectives and welcome applications from all qualified candidates.

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