GBG Sales Intelligence Lead, AI Go-To-Market

Meta; San Francisco (CA); On-site; USD 158,000 - 224,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking an experienced GBG Sales Intelligence Lead to drive AI go-to-market strategies and end-to-end launch execution. You will own the AI GTM calendar, develop communications, and build repeatable processes to move AI capabilities from built to adopted at scale.

The role requires strong cross-functional collaboration, technical fluency, and a proven track record in sales operations and program management to translate business goals into technical outcomes.

Qualifications

• Bachelor's degree or in progress in a relevant field.
• 8+ years of sales or sales operations experience at large-scale organizations with proven leadership of complex initiatives.
• Able to converse with product/engineering, understand APIs, data flows, and architecture but not require an engineering degree.
• Excellent at translating between business and technical language.
• Organized, detail-oriented multi-team program management.
• Proven track record of product-sales collaboration.

Responsibilities

• Define and evolve GTM strategy for AI products and identify AI-native opportunities.
• Own end-to-end GTM calendar: launches, access, sequencing.
• Develop and execute communications for AI rollouts and leadership updates.
• Create and maintain the GTM playbook for go-to-market adoption at scale.
• Drive change management to ensure field understanding and usage.
• Partner with Sales Intelligence Product to align roadmap and launches.
• Develop training content and certification tied to launches.
• Manage communication channels and information architecture for access.
• Partner with Data Science to determine success metrics and measurement.

Skills

Communication

Program management

Product partnership

Technical fluency

Cross-functional collaboration

Education

Bachelor's degree in a relevant field

Tools

APIs

Data flows

Platform architecture

Job description

GBG Sales Intelligence Lead, AI Go-To-Market Responsibilities:

• Define and evolve the go-to-market (GTM) strategy for AI products, identifying opportunities to leverage AI-native approaches, and execute on that strategy
• Own the end-to-end GTM (go-to-market) calendar for AI: what launches when, who gets access, and in what sequence
• Develop and execute all communications related to AI rollouts — announcements, enablement materials, change management messaging, leadership updates
• Create and maintain the GTM playbook: repeatable processes for how new AI capabilities go from "built" to "adopted at scale."
• Drive change management: ensure that the field organization understands not just what is launching, but why it matters and how to use it
• Partner with the Sales Intelligence Product team to understand the product roadmap, strategy, and launch calendar
• Develop training and enablement content as well as certification tied to launch events
• Manage communication channels and information architecture so people know where to go for what they need
• Partner with Data Science to determine how success is measured

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a Bachelor's degree in a relevant field
• Experience: 8+ years of experience in sales or sales operations at large-scale organizations, with a proven track record of leading complex initiatives and driving business results
• Technical Fluency Required: Needs to be able to converse with product and engineering, understand APIs, data flows, and platform architecture at a working level, but no engineering degree is required
• Communication: Exceptional at translating between business language and technical language
• Program Management: Organized, detail-oriented, and comfortable with managing complex multi-team coordination
• Product Partnership: Proven track record of operating at the intersection of product, engineering, and sales

Preferred Qualifications:

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• 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 Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmitive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$158,000/year to $224,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.