Jobs
Benefits & Perks
•Wellness benefits
•Remote work flexibility
•Annual team offsites
•Learning and development stipend
Required Skills
PyTorch
TensorFlow
Python
The Business Marketing Group connects businesses with their customers on Facebook, Instagram, Whats App, and Messenger to help them grow their businesses through solutions like pages, advertising, messaging, and more. We succeed when we help our customers grow their business leveraging our solutions. The Global Marketing Channels team is responsible for the performance and scalability of our digital marketing channels including web, email, in-product messaging, SEM/SEO, display, chat, and Meta ads to provide value for our customers and enable business impact. We focus on developing and executing strategies that make our marketing channels impact levers for the business.We are seeking an Agentic Marketing Channels Manager to pioneer the development of AI-driven marketing channels, particularly conversational and autonomous marketing agents. This individual will lead our evolution to AI-first marketing channel strategies, anticipating and adapting to changing customer behaviors and expectations.
The Agentic Marketing Channels Manager will combine demonstrated digital marketing expertise with emerging AI/agentic technologies, driving measurable results while shaping the future of digital marketing channels.
Agentic Marketing Channels Manager Responsibilities:
- Drive strategic leadership in developing agentic AI marketing channels (chat, conversational AI, autonomous agents) that deliver demonstrable business impact
- Establish measurement frameworks and learning agendas to optimize AI-driven marketing channels through experimentation, A/B testing, and advanced analytics
- Influence cross-functional partners across Product, Marketing, and Sales teams to align on AI-first marketing channel experiences
- Mentor and guide team members on agentic marketing approaches, building organizational rigor in AI-driven customer engagement
- Drive innovation in conversational marketing, prompt engineering, and autonomous marketing agent development
Minimum Qualifications:
- 8+ years of digital marketing experience, driving performance marketing results at scale
- Expertise in multiple digital marketing channels such as email, search, display, Meta Ads, and chat
- Analytical foundation including SQL, statistical analysis, and experience designing/executing marketing experiments
- Knowledge of agentic AI systems, autonomous agents, or conversational AI development
- Cross-functional leadership experience influencing and partnering with Product, Engineering, Data Science, and Sales teams
- Strategic thinking and experience developing long-term strategy while executing tactical initiatives
Preferred Qualifications:
- Technical experience in prompt engineering, agent development, or AI model evaluation
- Experience with Salesforce Marketing Cloud, Agentforce, or similar marketing automation platforms
- Background in growth marketing, performance marketing, or marketing technology roles
- Advanced analytics experience with causal inference, machine learning, or predictive modeling
- Experience driving organizational change and innovation in marketing
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.
$152,000/year to $213,000/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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