Summary:
We are seeking a Business Development Manager to join our AI Business Development team at Meta. You will play a crucial role in driving partnerships to support our AI products. You will be responsible for establishing new partnerships in the AI ecosystem. You will connect technical research needs with external partners between technical research needs and external partners and partnerships from term sheet negotiations through deal closure. We are looking for someone who has demonstrated experience in AI and a variety of partnerships, enjoys working with product and research teams and has experience navigating complex cross-functional teams to achieve their goals.
Required Skills:
Business Development Manager, AI Partnerships Responsibilities:
Defining, negotiating, and closing high-impact partnerships
Work closely with product, research, and engineering teams to understand the technical requirements, define priorities, and identify key opportunities
Leverage and expand contacts in the industry to unlock partnership opportunities
Conduct market research and analysis to understand the data landscape, identifying emerging trends and partnerships opportunities in the AI ecosystem
Working cross-functionally with legal, marketing, finance, product, and engineering teams to negotiate deal terms, drive special projects, advocate internally for partners, and educate on industry trends
Provide regular reports and updates on partnership activity and performance
Minimum Qualifications:
Minimum Qualifications:
10+ years of experience in business development, strategy, or related fields
Experience leading cross-functional teams to orchestrate and complete deals, including experience interpreting legal documents and working with attorneys to complete agreements
Experience in developing and driving business strategies and initiatives with executive stakeholders
Experience in working closely with product and engineering teams
Experience developing working relationships inside and outside an immediate team or partner organization
Preferred Qualifications:
Preferred Qualifications:
Demonstrated track record of navigating cross-functional teams to achieve business goals
Experience analyzing data and deriving actionable business insights
Experience in managing and driving AI initiatives from inception to launch successfully with partners
Experience in AI products and technologies such as AI models, use cases, and systems
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with AI technologies and working collaboratively with product teams and multiple partners
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated presentation and communication skills
Analytical and problem-solving skills
Knowledge of the AI ecosystem and competitive landscape including the technology, what other companies are doing, industry alliances and broader government and regulatory positions
Public Compensation:
$193,000/year to $269,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative 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.
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