Location
London

Hours
Full Time

Salary
Negotiable

About the Role
The Global Solutions Partner (GSP) role offers a unique opportunity to work with the world's largest global advertisers by leading key strategic global relationships and work streams with client and agency teams. You will provide platform and product expertise, media, performance and measurement strategy, and identify innovative, revenue-driving opportunities. This role is part of Meta's Global Clients Team supporting one of Meta's top partnerships.

The ideal candidate demonstrates an AI-native mindset, approaching work with curiosity and a bias toward experimentation. You will instinctively leverage AI tools, adapt quickly to new workflows, and view AI as a lever for greater impact by rethinking how work gets done.

Key responsibilities include partnering with the Global Client Lead on strategic roadmapping and global business plan implementation across client and agency relationships at all levels; unlocking enterprise-level opportunities across the partnership; leading the performance strategy by driving adoption of Meta's performance and AI-powered ad products; owning the full-funnel agenda and optimizing against client KPIs; and leading the signals and data foundations agenda as a pre-condition for performance at scale.

You will also lead media best practices, codify, track and drive adoption at scale; partner with Marketing Science to lead the global Learning Agenda ensuring alignment and scale throughout Meta and client organizations; translate complex data analysis into actionable insights; use AI agents for account research, client recommendations, personalized analysis, and pipeline management; build community with regional and local sales teams; and collaborate with cross-functional partners including Marketing Science, Product, Solutions Engineering, and Creative Shop.

Additionally, you will lead and manage relationships with key executive clients and media agency partners, develop capability-building programs empowering regions and local markets, support debugging of platform issues, escalations, and solution mapping, and be able to travel locally and internationally as required.

Experience
- 10+ years of experience in a technical field, marketing, or media
- Experience working with large-scale matrixed businesses
- Advanced background in brand performance marketing with demonstrable experience driving measurable business outcomes
- Experience leading multiple projects while maintaining high attention to detail
- Advanced skills in analyzing datasets and delivering actionable insights that drive business outcomes
- Experience identifying and unlocking enterprise-scale opportunities within complex global accounts
- Experience applying AI within an advertising context, maintaining high attention to detail for AI-augmented output
- Executive communication skills, including presenting strategic recommendations and influencing decisions at all levels
- Experience with measurement and experimentation approaches underpinning performance marketing (conversion lift, geo experiments, MMM, MTA)
- Demonstrated experience with digital media platforms, advertising metrics, and industry trends
- Experience and knowledge of Meta's ad products
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About you
- Self-starter with proactive problem-solving skills
- Ability to navigate organizations, build networks, and identify and secure highest-impact opportunities for clients
- Strong consultative sales and analytical skills with a focus on client service
- Ability to prioritize competing workstreams based on impact, deadlines, and stakeholder needs
- Curiosity and bias toward experimentation with AI tools
- Ability to lead cross-functionally and influence stakeholders at all levels

Qualifications
- BA/BS degree in a technical or marketing field
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)