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Growth Marketing Architect (f/m/d)

CompraTica Empleos

EMP:Marketing
Munich, Bavaria, Germany
Tiempo Completo
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Descripción

We created Apaleo to change the hospitality industry in a meaningful way.

Our API-first property management platform empowers accommodation providers to design a technology stack that creates unique digital guest and staff experiences.

At Apaleo, you'll find a diverse, international team united by a passion for learning and building - and we move fast.

We're looking for a Growth Marketing Architect (f/m/d) to join our team in Munich, Germany.

You won't just use AI tools - you'll design and operate the systems that turn marketing into a predictable growth engine: more intelligent, more autonomous, and measurably better at creating demand and pipeline.

You'll build on what the team has already started and work shoulder-to-shoulder with channel owners - thinking in workflows, building in pipelines, and measuring everything against one thing: commercial impact, expressed as demand and pipeline.

Your mission Build the data foundation marketing runs on Audit where marketing data lives today - HubSpot, Google Analytics, LinkedIn, Contentful, etc.

- and map how it actually flows (or doesn't) between systems Design clean, structured data connections so every AI workflow downstream has reliable inputs - and so demand and pipeline become measurable end to end Work hand-in-hand with Marketing channel owners to connect what's already there into one coherent commercial data layer that ties activity to pipeline Build the campaign intelligence layer Architect the campaign lifecycle framework that probably doesn't yet exist: which signals predict demand at each stage, how content maps to pipeline progression, what real-time campaign performance actually requires technically Automate the assembly work - pulling, structuring, and summarising performance data across channels - so the team acts on insight rather than chasing it, and can see what's actually driving pipeline Own and scale the campaign performance analysis pipeline from experiment to production, with demand and pipeline.

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