Senior Product Builder (f/m/d)

Das ist der Job

Mission Integral was founded in October 2024 and is already one of the fastest-growing startups in Germany.

Darum lohnt es sich

You work in a small team, close to the founders. You work directly with the CTO and a senior engineering team that ships fast and cares about craft.

The Hiring Process Intro call with our Chief of Staff Product deep-dive interview with our Product Building team Reference calls On‑site in Berlin: meet the team, work through a real product problem together, meet the co‑founders, and an office tour Our Offer Above‑market salary Direct line to the Founders: no filter, no queue, no committee Total autonomy on what you build; we measure hours saved The best tools, no questions asked: Claude Max, Cursor, OpenAI, whatever ships next week Internal tools and resources purpose‑built to support agentic AI development at scale, read about how we work at engineering.integral.de 28 vacation days per year, plus half‑days on December 24 and 31 Urban Sports Club membership, Sachbezug to over 200 partner companies, or Deutschlandticket Laptop of your choice: MacBook Pro or Windows Company pension scheme (bAV) Modern office in the heart of Berlin Mitte, right next to Mauerpark Weekly team lunches on us, office BBQs, and a dinner budget for late nights A team of 50+ (and growing) ambitious, diverse people, 20%+ ex‑founders learning and building together #J-18808-Ljbffr We’re building the leading AI-native platform for accounting, payroll, and tax for European SMEs, and we’re looking for the sharpest people to help us get there.

As Senior Product Builder, you own a core area of the product end to end. You work alongside top-tier engineers and build with them: you write specs, prototype ideas, and ship, using AI tools the way an engineer does. You sit with users, find what slows them down, and give them that time back.

The domain is complex and heavily regulated, so getting it right means holding several things at once: what the user needs, how ops works today, and what the rules demand. AI makes a product like this possible. The bar is whether it’s genuinely good for the people who use it. Onsite in our Berlin Prenzlauer Berg office.

Core Responsibilities Build, not just decide. Prototype your ideas, ship features with engineering, and stay close enough to the code to make real product calls. Learn the domain cold. Sit with accountants, watch how the work actually happens, and learn German bookkeeping well enough to know what “correct” means before you build it.

Get the workflows right. Accounting and payroll have to be correct, auditable, and traceable. You set that bar and check it against real client data. Decide how AI fits. Work out what AI can own today, what stays with a person, and how that line moves as models improve. Design workflows that get better as the technology does.

Free people from the grunt work. Turn today’s manual steps into agents that handle them, cut exception handling, shorten time to close, and measure the hours saved. Own your area. Discovery, prioritisation, release, iteration. You call what ships and when.

What makes it special You build a product area that sits at the center of what Integral does, and you actually build it. You’re early enough that the big product decisions are still open. Your work reaches thousands of business founders in Germany who run their finances on Integral. Your Profile You build.

You prototype your own ideas, can take them most of the way yourself, and you’d rather ship a rough version than write a long doc about it. You use AI tools effectively, to build and not just to chat, or you’re hungry to learn. You’ve taken products from 0 to 1 and know what that actually takes.

You move on your own, think in systems, and bring clarity to messy domains. You hold a high bar without chasing perfection. You ship, learn, and improve. You’re fluent in German and English. Preferred Experience Experience in fintech, or building software for accounting, payroll, banking, or other money‑movement domains.

A track record with genuinely complex systems: lots of state, edge cases, and integrations, where getting the details wrong has real consequences. A working feel for German tax and regulatory requirements for small businesses.