Field Sales Manager, UK and Northern Europe

Meta is seeking a Field Sales Manager to drive advertising revenue growth across the UK and Northern Europe markets, with a focus on Reality Labs consumer electronics within the EMEA region. In this role, you will manage and grow a portfolio of advertiser and retail partner relationships, enabling go-to-market strategies that accelerate adoption of Meta's hardware and wearable device products. You will serve as a key commercial point of contact, translating Meta's advertising platform capabilities and Reality Labs product roadmap into compelling value propositions for clients and channel partners across the region.

Responsibilities

Manage and grow a portfolio of advertiser and retail partner accounts across the UK and Northern Europe, driving revenue and sell-through for Reality Labs consumer electronics products
Develop and execute territory sales plans aligned to EMEA regional goals, identifying short, mid, and long-term opportunities within the wearable devices and smart glasses category
Translate Meta's advertising platform capabilities and Reality Labs product positioning into tailored pitches and proposals for retail buyers, brand partners, and media agencies
Collaborate with cross-functional partners including marketing, product, operations, and channel teams to align go-to-market execution and resolve blockers
Analyze sales performance data and market trends to identify gaps, inform forecasting, and recommend adjustments to account strategies
Engage regional leaders and key stakeholders to gain alignment on new commercial opportunities and territory investment priorities
Openly share pipeline progress, account health, and market intelligence with internal stakeholders through structured reporting and planning cycles
Adapt sales approaches based on real-time client feedback, competitive dynamics, and evolving product availability across the UK and NEU markets
Identify and implement risk mitigation measures when business changes affect account performance or regional revenue targets
Provide input on team-level goals and contribute to the development of scalable sales enablement processes and best practices for the EMEA region

Qualifications

6+ years of experience in field sales, account management, or sales enablement within consumer electronics, wearable devices, or technology hardware
6+ years of experience managing commercial relationships with retail partners, media agencies, or brand advertisers in the UK or Northern European markets
Experience using data and performance metrics to inform account strategy, prioritize opportunities, and influence stakeholder decision-making
Experience collaborating with cross-functional teams to align sales execution with product, marketing, and operations priorities
Experience communicating complex product or platform value propositions to diverse audiences including buyers, agency partners, and business leaders Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Track record of adapting commercial strategies in response to rapidly evolving product portfolios or competitive market conditions
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Familiarity with Meta's advertising platform and experience connecting media investment strategies to hardware or device sell-through outcomes
Experience selling or enabling sales of augmented reality, virtual reality, or wearable consumer electronics products in EMEA markets
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience contributing to regional go-to-market planning and channel partner development programs at scale
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)