GBG AI Go-To-Market Lead

Meta; New York (NY); Presencial; USD 158 000 - 224 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Bonus

Equity

Benefits

Accommodations for accessibility

Resumo da oferta

Meta is seeking a GBG Sales Intelligence Lead for AI Go-To-Market to own the GTM strategy for AI products across GBG, aligning with product and field teams. You will manage the end-to-end GTM calendar, develop communications, enablement materials, and a playbook to scale adoption.

This role requires cross-functional collaboration, change management, and strong business-technical fluency to translate complex AI concepts into actionable guidance for the GBG field organization.

Qualificações

• Bachelor's degree in a relevant field is required or in process.
• Experience leading complex GTM initiatives and cross-functional programs.
• Strong ability to translate business needs into technical language.

Responsabilidades

• Define and evolve the GTM strategy for AI products across GBG.
• Own the end-to-end GTM calendar for AI launches and access sequencing.
• Develop communications and enablement materials for rollouts.
• Create and maintain the GTM playbook for scalable adoption.
• Drive change management and stakeholder alignment.
• Partner with product and engineering to understand roadmap and launches.
• Develop training content and certification tied to launches.

Conhecimentos

Go-To-Market Strategy

Communication

Change Management

Program Management

Cross-Functional Collaboration

Technical Fluency

AI / ML Concepts

Sales Operations

Formação académica

Bachelor's degree in a relevant field

Ferramentas

APIs

Data flows

Platform architecture

Descrição da oferta de emprego

Meta is seeking a GBG Sales Intelligence Lead for AI Go-To-Market to own the GTM strategy for AI products across GBG, aligning with product and field teams. You will manage the end-to-end GTM calendar, develop communications, enablement materials, and a playbook to scale adoption.

This role requires cross-functional collaboration, change management, and strong business-technical fluency to translate complex AI concepts into actionable guidance for the GBG field organization.