Partner Marketing Manager, UKI Devices and Services Marketing
A Partner Marketing Manager in UKI Devices and Services plays a pivotal role in the customer journey. From understanding in detail how customers move through the buying journey, to inspiring Google partners to build great channel plans, to delivering results that drive traffic and sales for Google's devices, Partner Marketing Managers have a broad scope and a real impact on our business. The role involves negotiating channel plans, working with external organizations, networking, presenting results and forward-looking plans, and ultimately driving the business through great channel marketing execution.
- Execute or manage campaigns, assets, communications, and programs to address user needs, team objectives, and key results (OKRs). Evaluate and analyze campaign performance for optimization, recommend channels for reaching and engaging users, and support, contribute to, or lead integrated channels to meet goals.
- Create, review, or approve marketing content to ensure that positioning of the product is aligned with the product strategy. Iterate the content and design along with cross-functional or cross-regional teams based on content standards, styles, and format, and collaborate with the production team to publish the marketing content.
- Identify research needs, scope, manage, or guide user research by leveraging internal and external research partners.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in product marketing, partner marketing, or channel marketing in the telecom or consumer electronics industry.
- Experience managing cross-functional or cross-team projects.
- Experience building relationships across brands with external companies and managing cross-brand relationships.
Preferred qualifications:
- Experience working in one or more of the following fields: growth, product, brand, social, or partner marketing or research.
- Experience in consulting and working with behavioural marketing data.
- Experience with marketing and sales operations, financial analytics, or other related investigative experience.
- Experience utilizing AI productivity tools to solve complex, multi-layered problems and streamline business or development workflows.