Jobs
Benefits & Perks
•Remote options
•Flexible PTO
•Development budget
•Team offsites
•Health benefits
•Creative environment
•Healthcare
Required Skills
Hootsuite
Google Analytics
Marketo
The Mar Tech team is responsible for driving sustainable and measurable consumer brand, product, and revenue growth globally through scalable marketing technology and centralized data infrastructure. We are seeking a Mar Tech lead to manage our Marketing Technology roadmap for our Channel Optimization pillar and New Growth levers across Meta's portfolio of brands. This leader will define the strategy and day to day tactical execution across multiple internal and external partners & teams. The Mar Tech team is a vital component of the organization, operating at the intersection of business, technology, and operations. This is a leadership opportunity to own the product strategy and roadmap for one of our most important lines of business. We are seeking a leader with in-depth knowledge of MMM (Marketing Mix Modeling), channel incrementality, brand measurement, and Marketing/Advertising Technology. This role will be instrumental in driving media channel optimizations across our portfolio of brands to increase business impact, providing insights and recommendations on channel performance, strategy and allocation.
Marketing Technology Lead, Consumer Marketing Responsibilities:
- Lead the Channel Optimization program, defining and executing the product roadmap for our MMM and channel incrementality strategy
- Additionally, apply Understand, Identify, Execute (UIE) framework to develop new impact levers to drive consumer brand growth
- Develop strategy to achieve the long-term and short-term goals for the Ad Tech and Mar Tech team
- Outline product features and deliverables through a clear understanding of the problem space of channel optimization, MMMs and incrementality
- Use domain knowledge, leveraging data skills, analytics and expertise to craft effective solutions and our product roadmap
- Execute on projects by working closely with Software and Data Engineering, Data Science, Product Growth, Media and Brand marketing to land impact on business goals
- Manage execution of the Channel Optimization and new UIE program, lead the implementation from start to finish, ensuring timely and quality delivery
- Develop sound hypotheses and partner with relevant team members to develop experimentation and testing roadmap from designing tests to analyzing results that lead to data-driven decisions
- Gain in-depth knowledge of the problem space, staying on top of the Mar Tech ecosystem and industry, to align internal and external insights
- Anticipate challenges, identify risks and opportunities early in the development process to create durable solutions to drive sustained impact
- Project manage and drive execution of strategic initiatives including new technologies, privacy requirements implementation and existing tools evolution
- Develop critical processes to enable the team to leverage new capabilities, document and rollout key processes to internal team and agency partners
- Drive long term growth through a combination of data analysis, product ideation, and experimentation to optimize our Channel Optimization: MMM and Channel Incrementality program
- Influence MMM and Channel Incrementality product and business strategy by understanding trends in Ad Tech, Mar Tech, paid media, brand and direct response marketing to
Minimum Qualifications:
- 12+ years of performance marketing and analytics industry experience
- Experience working with Marketing Mix Models, Channel Incrementality and Experimentation, knowledge of brand measurement, brand survey and marketing analytics and media data
- Experience with APIs, DSPs, paid social and other digital ad platforms: DV360, TTD, Xandr, Meta, Tik Tok, Reddit, YouTube, Snap, etc
- Experience working directly with paid media providers, and data tracking setup
- Proficient with Third Party Ad Servers (Campaign Manager/Google Marketing Cloud) and rich media technology
- Proven to effectively collaborate and influence across variety of technical and non-technical functions to drive towards common goals
- Experience leading projects in a highly collaborative, matrixed environment
- Experience working with and influencing multi disciplinary product teams consisting but not limited to software engineers, designers, product managers and data scientists
- Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets
- Experience performing exploratory analysis with minimal direction to answer ambiguous open ended questions
- Experience managing time-sensitive projects through to completion while balancing evolving priorities and a broad range of stakeholders
- Experience resolving complex problems in dynamic environments
- Bachelors degree in marketing, business, technology or related field, or equivalent work experience
Preferred Qualifications:
- Experience with data querying languages (e.g. SQL)
- Experience with Meta's product suite and global go-to-market strategies
- Understanding of the digital marketing industry
- Experience with marketing automation platforms, data analytics tools, and performance marketing channels
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.
$180,000/year to $252,000/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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