Small Business Solutions & Enablement Lead

Meta; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta in Los Angeles is seeking a senior individual contributor for the Small Business Product & Solutions team. You will translate customer needs into actionable recommendations for product teams, build repeatable enablement to help businesses adopt Meta's tools, and prioritize external partnerships that extend reach and accelerate adoption.

This hands-on, cross-functional leadership role focuses on understanding the business, influencing the product, enabling successful use, and scaling

Qualifications

• Experience translating customer needs into product decisions and go-to-market outcomes.
• Ability to influence across a matrixed organization through collaboration and persuasion.
• Experience designing and scaling enablement, learning experiences, or customer programs.

Responsibilities

• Translate customer needs into actionable recommendations for product teams and partnerships.
• Build repeatable enablement to help small businesses adopt Meta tools and solutions.
• Prioritize external partnerships to extend reach and accelerate adoption.

Job description

Meta is seeking a senior individual contributor to join the Small Business Product & Solutions team. Our mission is to power small business prosperity and build solutions that serve the millions of small businesses across Meta.

This leader will help small businesses turn Meta's products into practical business outcomes. They will translate customer needs into actionable recommendations for product teams, build repeatable enablement that helps businesses adopt and use our tools, and prioritize external partnerships that extend reach and accelerate adoption.

The role connects four activities: understand the business, influence the product, enable successful use, and scale what works through partners. It is a hands-on, cross-functional leadership role to help further our small business strategy. Success means helping more small businesses use Meta's products and superintelligence to start, run, and grow their businesses.

Extensive experience in product strategy, business strategy, product marketing, customer education, go-to-market, or partnerships, with demonstrated ownership of complex initiatives and measurable customer outcomes Experience translating customer needs into product or go-to-market decisions and improving adoption of technology products Experience designing and scaling enablement, learning experiences, or customer programs beyond bespoke, one-to-one delivery Proven ability to drive alignment and execution across a matrixed organization through influence rather than direct authority Experience building new initiatives in ambiguous environments, including defining priorities, success measures, and operating models Strong analytical judgment, prioritization, and executive communication skills ability to move between strategic decisions and hands-on execution Extensive experience in product strategy, business strategy, product marketing, customer education, go-to-market, or partnerships, with demonstrated ownership of complex initiatives and measurable customer outcomes Experience translating customer needs into product or go-to-market decisions and improving adoption of technology products Experience designing and scaling enablement, learning experiences, or customer programs beyond bespoke, one-to-one delivery Proven ability to drive alignment and execution across a matrixed organization through influence rather than direct authority Experience building new initiatives in ambiguous environments, including defining priorities, success measures, and operating models Strong analytical judgment, prioritization, and executive communication skills ability to move between strategic decisions and hands-on execution Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 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