Partner Marketing Manager
Jahresbrutto · Vollzeit
€ 51.521 – 64.981
Dieses Inserat nennt kein Gehalt. Die Spanne unten ist ein Vergleichswert: was vergleichbare Angestelltenstellen in Österreich laut Verdienststrukturerhebung der Statistik Austria zahlen, erhoben unter Angestellten in Unternehmen mit zehn und mehr Beschäftigten. Sie ist keine Angabe dieses Unternehmens und kein Angebot — was die Stelle wirklich zahlt, sagt nur das Unternehmen selbst. Vergleichswert: Techniker:innen und gleichrangige nichttechnische Berufe (ÖISCO-08 3), ohne Senioritätsangabe · VSE 2022, fortgeschr. 2025 · keine Angabe des Unternehmens Gehaltstabelle ansehen ↗Wie der Vergleichswert entsteht →
Über die Stelle
The role of a Partner Marketing Manager at Canonical
Canonical is looking for a channel marketing manager who will be responsible for developing our strategic relationships with a set of global partners . Canonical partners with the leading companies in technology across public cloud (Amazon, Google, Microsoft, Oracle…), silicon (ARM, Intel, Qualcomm, Mediatek, Nvidia, Xilinx…), hardware vendors (Dell, HP, HPE, Lenovo). As our business increasingly depends on partners, the scope of our partnership grows every year (GSI, software vendors, IoT…). We are thus looking for an individual, who will not only drive successful marketing activities with our partners but also shape our partner programs.
Marketers at Canonical are brand stewards and demand creators.They transform complex open-source technology into messages, stories and strategies that shape the market understanding of our vision. Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster.
We have a bias for action, focus efforts on the most impactful activities and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works …
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