... Meta while staying connected to advances in AI, machine learning and marketing science. You'll ... REMOTE #LI-NM1
... Meta while staying connected to advances in AI, machine learning and marketing science. You'll ... REMOTE #LI-NM1
Paid Social Lead (Remote)
Wilmington, DE · On-site +1
This is a role for those who enjoy team leadership, solving complex marketing challenges and ... Lead the team to deploy and optimize ad campaigns across paid social platforms, including Meta ...
New
Paid Social Lead (Remote)
Wilmington, DE · On-site +1
This is a role for those who enjoy team leadership, solving complex marketing challenges and ... Lead the team to deploy and optimize ad campaigns across paid social platforms, including Meta ...
New
Remote Meta Marketing information
What is a remote Meta Marketing?
A Remote Meta Marketing job typically involves working for Meta (formerly Facebook) or its partners to develop, implement, and optimize marketing strategies for Meta's platforms, such as Facebook, Instagram, and WhatsApp, while working from a remote location. Professionals in this role may manage advertising campaigns, analyze data and audience insights, and collaborate with clients or internal teams to drive business objectives through digital marketing. The remote nature of the job allows flexibility in location, enabling employees to work from home or anywhere with reliable internet access.
What are the key skills and qualifications needed to thrive as a remote Meta Marketing specialist?
To thrive as a Remote Meta Marketing Specialist, you need expertise in digital marketing strategies, data analysis, and a strong understanding of Meta platforms like Facebook and Instagram, often supported by a degree in marketing or related certifications such as Meta Blueprint. Familiarity with advertising tools like Facebook Ads Manager, Google Analytics, and CRM systems is typically required. Strong communication, adaptability, and self-motivation are vital soft skills for collaborating remotely and responding to fast-changing digital trends. These skills and qualities are crucial for executing effective campaigns, achieving measurable results, and maintaining productivity in a remote work environment.
How does collaboration typically work for remote Meta Marketing professionals, and what tools are commonly used to stay connected with the team?
In a remote Meta Marketing role, collaboration is highly digital and relies on a mix of communication and project management tools to ensure seamless teamwork across different locations and time zones. Professionals frequently use platforms like Slack, Microsoft Teams, and Zoom for real-time communication and meetings, while project management tools such as Asana or Trello help track progress and assign tasks. Regular syncs, virtual brainstorming sessions, and shared documents in Google Workspace or Meta's internal tools are standard practices. Maintaining clear communication and proactively sharing updates are key to staying aligned and delivering successful marketing campaigns.
What is the difference between Remote Meta Marketing vs Remote Social Media Specialist?
| Aspect | Remote Meta Marketing | Remote Social Media Specialist |
|---|---|---|
| Primary Focus | Developing overall marketing strategies using Meta platforms | Managing and creating content for social media channels |
| Required Skills | Meta Ads, analytics, marketing strategy | Content creation, community engagement, platform-specific skills |
| Work Environment | Collaborative, strategic planning, cross-platform | Content management, daily social media posting |
| Common Certifications | Meta Blueprint certifications | Social media marketing certifications (e.g., Hootsuite, HubSpot) |
Remote Meta Marketing involves strategic planning and managing advertising campaigns across Meta platforms, focusing on overall marketing goals. In contrast, a Remote Social Media Specialist primarily handles content creation and engagement on social media channels. Both roles require familiarity with Meta tools, but Meta Marketing emphasizes strategy and analytics, while Social Media Specialists focus on content execution and community interaction.
What are popular job titles related to Remote Meta Marketing jobs in Delaware?
For Remote Meta Marketing jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Meta Marketing jobs in Delaware look for?
The top searched job categories for Remote Meta Marketing jobs in Delaware are:
What cities in Delaware are hiring for Remote Meta Marketing jobs?
Cities in Delaware with the most Remote Meta Marketing job openings:
Full-time
Re-posted 15 days ago
Job description
At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
Qualifications:
Nice to Have
Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
#LI-REMOTE #LI-NM1
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
- Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
- Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
- Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
- Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
- Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.
Qualifications:
- Experience leading commercial Data Science, Marketing Science or Decision Science teams.
- Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
- Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
- Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
- Strong understanding of SQL, Python and modern machine learning frameworks.
- Experience working with Google Ads, Meta or other major advertising platforms.
- Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
- Experience building and developing high-performing Data Science teams.
- Strong commercial judgement, balancing technical excellence with measurable business impact.
- A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.
Nice to Have
- Experience within affiliate marketing, digital publishing or lead-generation businesses.
- Experience working in financial services, insurance or regulated industries.
- Experience working directly with Google or Meta Data Science teams.
- Experience with attribution modelling and marketing measurement.
- Experience building optimisation algorithms for DSPs or advertising platforms.
- Experience with causal inference, experimentation frameworks or incrementality testing.
- Experience forecasting marketing or commercial performance.
- Experience with Vertex AI or equivalent cloud-based machine learning platforms.
Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
#LI-REMOTE #LI-NM1