Jobs
Benefits & Perks
•Flexible PTO
•Competitive salary and bonus
•Stock options
•Development budget
•Equity
Required Skills
SEMrush
Google Analytics
Marketo
At Meta, we believe AI transforms how people and businesses connect and grow. Meta's success and a good developer experience is key to enabling developers on open source platforms. We aim to cultivate and maintain a healthy generative AI developer ecosystem that embodies and facilitates openness and innovation. Meta is seeking a highly experienced audience marketing professional to help us grow the awareness, adoption, and sentiment of Meta's Llama (Large Language Model Meta AI) with developers across the ecosystem, including startups and governments. A successful candidate must have a proven track record of building and scaling high performing audience marketing teams and programs, to drive awareness, adoption and sentiment in the rapidly moving GenAI and LLM space. As the CMO for Llama, this director will be highly comfortable and thrive in a fast paced ambiguous environment and be highly willing to drive innovative, bold, and effective marketing programs and campaigns.
Director, Llama Marketing Responsibilities:
- Proactively and assertively develop, innovate, and own the Llama audience marketing strategy to deliver on the company goal of having the most widely adopted, open source LLM in the world
- Lead and curate a high performing team that will devise and execute the Llama audience marketing strategy and execution plan for developers across the ecosystem. This will include leading with an audience first mindset
- Partner and drive alignment across the Meta gen AI team (partnerships, BD, product, consumer marketing, comms, legal, data science, brand, etc.) to inclusively deliver impactful marketing campaigns
- Lead the high performing team whose work product powers the marketing flywheel (awareness, education, thought leadership, engagement)
- Partner with our experiential and scaled marketing teams to innovate and executive measurable developer events, digital campaigns, case studies/thought leadership, and other relevant activations
- Lead the team that will manage creative, strategy and operations agencies for strategy & design development, campaign production & implementation, and digital content production
- Partner directly with Data Science and Data Engineering to develop an innovative and quantitative measurement methodology and approach
Minimum Qualifications:
- 15+ years of professional experience in technology, engineering, or marketing
- 10+ years experience leading and forming high performing diverse teams, including managing managers of people
- Marketing experience launching and driving adoption of new products and services in the GenAI space, via impactful marketing campaigns and events
- Experience influencing at all levels of the organization up to the CEO and other, cross-functional VP leaders
- Experience leading a team in a fast-paced, entrepreneurial, and fluid environment, with experience adapting, spotting issues early, and escalating
- Proven experience at communicating clearly and assertively our marketing plans and vision
- Experience synthesizing complex topics and communicating concepts in the clear way
- Experience working directly with developers (in a customer first way) across the ecosystem, including at tech companies, enterprise partners, startups, and government
Preferred Qualifications:
- Interested in GenAI, active member of the developer community in this space
- Balance of creative and analytical thinking, experience putting forth best-in-class execution within a measurable and data-driven framework
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 Whats App 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 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.
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 accommodations-ext@fb.com.
$296,000/year to $356,000/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.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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