Marketing Manager, Audience Growth Experience

SHIELD AI is seeking a Marketing Manager to lead audience growth across its first-party social channels and third-party digital communities. This role combines analytics, segmentation, and growth experimentation to expand reach, engagement, and influence with priority audiences. You will work closely with Social, Communications, field marketing, and internal video teams to turn performance data into clear actions.

What you’ll do

• Own audience growth analysis across Shield AI’s first-party social channels, including LinkedIn, X, Instagram, and YouTube.
• Analyze third-party audience and community behavior across platforms such as Reddit, YouTube, and relevant industry forums.
• Build audience segmentation frameworks to understand priority personas, content interests, channel behaviors, and acquisition opportunities.
• Partner with Social and Communications teams to inform organic content strategy using performance insights and audience intelligence.
• Manage paid-growth levers and budget to accelerate audience acquisition, engagement, and channel-level performance.
• Track and report on audience growth, engagement, conversion, and retention metrics across channels.
• Identify high-potential communities, creators, conversations, and distribution opportunities aligned with Shield AI’s mission and products.
• Develop dashboards, reports, and recommendations that translate data into growth actions for Marketing and Communications stakeholders.
• Support testing across creative, copy, targeting, channels, and content formats to improve reach and engagement.
• Monitor platform trends, algorithm changes, and audience behavior shifts to guide channel strategy.

Requirements

• 3+ years of experience in growth marketing, digital marketing analytics, audience development, social analytics, or a related field.
• Experience analyzing performance across social platforms such as LinkedIn, X, Instagram, YouTube, and Reddit (or similar communities).
• Familiarity with AI-enabled analytics, content optimization, or marketing workflow tools.
• Strong analytical skills and the ability to translate data into actionable recommendations.
• Experience managing or supporting paid social, paid audience growth, or digital acquisition campaigns.
• Proficiency with analytics, reporting, and dashboarding tools.
• Strong understanding of audience segmentation, channel performance, testing, and growth metrics.
• Excellent communication skills to present insights clearly to cross-functional stakeholders.
• Strong cross-functional collaboration with Social, Communications, Creative, and Marketing teams.

Technologies

• LinkedIn
• X
• Instagram
• YouTube
• Reddit

Preferred qualifications

• Experience in aerospace, defense, national security, advanced technology, or B2B technology.
• Experience with social listening, community intelligence, or creator/influencer analysis tools.
• Experience building executive-ready dashboards or recurring performance reporting systems.

Location and compensation

• Location: San Diego, CA (onsite)
• Salary: USD 120,000 - 180,000 per year

Benefits and offer details

• Full-time regular employee package: Pay within range + Bonus + Benefits + Equity
• Temporary employee package: Pay within range + temporary benefits package (applicable after 60 days of employment)

• Bonus
• Benefits
• Equity
• Temporary benefits package (applicable after 60 days of employment)

Other notes: Salary compensation is influenced by skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is an equal opportunity workplace and an affirmative action employer. Shield AI may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.