Home › Companies › Integral › GTM Engineer (f/m/d)
GTM Engineer (f/m/d)
Integral · Berlin · On Site · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Integral |
| Title | GTM Engineer (f/m/d) |
| Normalized title | - |
| Department / team | Geschäftsführung - Technology |
| Location | Berlin |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2026-05-08 / 2026-05-30 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Integral. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Geschäftsführung - Technology. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Integral |
| Source | 0c1cb719-9991-4108-9705-64b5fe2d8cf2 |
| ATS provider | Personio |
Description
Mission
Integral was founded in October 2024 and is already one of the fastest-growing startups in Germany. 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. The growth engine is running. Now we need someone to make it faster, smarter, and impossible to slow down.
As our GTM Engineer, you own the technical layer that powers every revenue-generating team at Integral: Sales, Marketing, and Partnerships. In other words, you are a force multiplier that builds the systems to unlock scalable value and momentum. You build the agentic stack, connect the data flows, and eliminate every bottleneck that stands between our team and closed deals.
Core responsibilities
What you'll do:
Identify, build and continuously optimize the agentic stack that powers all GTM teams Own the full tooling layer: automation workflows, data enrichment, and integrations end-to-end Connect and maintain data flows between GTM and Product so nothing falls through the cracks Identify and eliminate operational bottlenecks that slow down sales momentum Evaluate, implement, and iterate on new tools faster than the market moves What makes it special:
You own the entire GTM tech layer, not a slice of it Direct collaboration with the GTM Lead, the Sales team, and Product You will see the direct commercial impact of everything you build Early enough to shape the stack from scratch, with the resources to do it properly
Your profile
Your experience and mindset
2 to 4 years of experience in a GTM engineering, Revenue Operations, or Sales Engineering role Hands-on experience building automation workflows and integrations across GTM tools (HubSpot, Clay, Apollo, Zapier, Make, or similar) Comfortable working with APIs, webhooks, and data pipelines without needing an engineer to hold your hand Obsessed with AI-native tooling and agentic workflows: you have built things with LLMs, not just used them You think in systems: you see the whole flow before you touch a single tool High ownership: you ship, you iterate, you improve Preferred experience
Built, deployed, and continuously improved AI agents for end-to-end workflows that directly contributed to growing the top line Familiarity augmenting your work with Claude CoWork (and similar) Background in a high-growth B2B SaaS or fintech environment Experience integrating GTM and Product data layers Familiarity with the German SME or accounting and tax market.
The process
We move fast. The full process takes less than two weeks.
Intro call with our Talent Acquisition Lead Deep-dive interview with our GTM Lead On-site technical walkthrough and live build challenge at our Berlin office Reference Call
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 or Deutschlandticket, your choice 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 after 8pm A team of 50+ (and growing!) ambitious, diverse people, 20%+ ex-founders learning and building together
Full job record
| Job ID | 0880081c475b4242a95e0e6ed9087f45c9211df9 |
| Org ID | 6e27caef-caaa-44ac-850f-da8ce13bd171 |
| Source ID | 0c1cb719-9991-4108-9705-64b5fe2d8cf2 |
| Board ID | 0c1cb719-9991-4108-9705-64b5fe2d8cf2 |
| Provider | personio |
| Provider Job Key | 2628948 |
| Title | GTM Engineer (f/m/d) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Berlin |
| Department | Geschäftsführung - Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | Berlin |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://integral.jobs.personio.de/job/2628948?language=en |
| Apply URL | https://integral.jobs.personio.de/job/2628948?language=en |
| First Seen At | 2026-05-30 05:40:33Z |
| Last Seen At | 2026-06-06 07:47:29Z |
| Last Checked At | 2026-06-06 07:47:29Z |
| Last Changed At | 2026-06-06 07:47:29Z |
| Inactive At | — |
| Source Posted At | 2026-05-08 15:04:55Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=integral.de/date=2026-06-06/2026-06-06T07-47-29-330Z-9724831a953fadd9c3eb4dd7e60cd10cf012cf30c5fb2d9c03e71ff49ef0b4be.json |
Event Fields
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