招聘
Benefits & Perks
•Team offsites
•Development budget
•Remote options
•Competitive salary and bonus
•Stock options
•Equity
Required Skills
Google Analytics
Salesforce
HubSpot
We're looking for an experienced Consumer Product Marketing Manager to drive product marketing for Meta AI, our AI assistant used by over 1 billion people globally. In this role, you will lead complex cross-company initiatives and help bring innovative new AI experiences to people all over the world across our apps and devices including the Meta AI app, meta.ai, Facebook, Instagram, Messenger, Whats App and Reality Labs.
This role sits on our central AI Marketing team and covers inbound, go-to-market and outbound product marketing initiatives. You will be responsible for driving audience and market insights, influencing product strategies, crafting positioning and messaging and leading fast-moving go-to-market efforts that increase awareness, engagement and adoption. This is a highly cross-functional role that will partner closely with other PMMs and teams across the company. If you are a strategic product marketer who is analytical and creative, has a bias for execution, excels at leading complex projects in fast-paced environments and is passionate about AI, then we'd like to connect with you.
Consumer Product Marketing Manager, AI Responsibilities:
- Influence and shape product strategies, positioning and narratives through the use of data and insights for target audiences in close collaboration with research, product, comms and policy
- Develop and execute on complex go-to-market strategies including goals, success metrics, asset development and integrated launch planning with cross functional partners across the company
- Partner across the product marketing, brand, marketing and channel teams on outbound marketing strategies and campaigns to drive awareness, adoption and long term engagement
- Tackle complex problems with a strategic mindset, and create thoughtful recommendations and action plans for solving those problems
Minimum Qualifications:
- 10+ years of full-time experience in Product Marketing, partnering closely with Product teams
- Bachelor's Degree in Business, Marketing or Creative discipline
- Experience crafting GTM strategies based on consumer driven insights
- Experience with consumer-facing product launches and consumer campaigns
- Solid understanding and/or active use of consumer AI products
- Experience working with product, marketing, communications and growth teams at all levels of management, both internally and externally
- Experience driving presentations with executives and cross functional teams
- Experience developing, leading, and influencing analytically rigorous, multi-channel marketing campaigns with a variety of internal teams and external stakeholders
- Experience with 0-to-1 products in ambiguous, fast-paced environments
- Project management experience
Preferred Qualifications:
- MBA
- Internet, technology or generative AI industry experience
- International experience
- Copywriting experience
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@meta.com.
$160,000/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.
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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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