Owns audience growth strategy across social channels and digital communities. Analyzes audience behavior, segments personas, manages paid-growth budgets, tracks engagement and conversion metrics, identifies acquisition opportunities, builds dashboards, supports marketing tests, and translates performance insights into recommendations for communications and marketing stakeholders.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Shield AI is seeking a marketing manager to build and execute the audience growth strategy across first-party social channels and third-party digital communities. This role will develop growth models, identify scalable acquisition opportunities, manage paid-growth levers and budget, and partner with our communications, social, field marketing, and internal video teams to expand reach, engagement, and influence among key audiences.
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 better understand priority personas, content interests, channel behaviors, and acquisition opportunities.
- Partner with Social and Communications teams to inform organic content strategy with 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 relevant to Shield AI’s mission and products.
- Develop dashboards, reports, and recommendations that translate data into clear 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 inform channel strategy.
Audience Growth & Analytics
Required qualifications:
- 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, Reddit, or similar communities.
- Familiarity with AI-enabled analytics, content optimization, or marketing workflow tools.
- Strong analytical skills with 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 with the ability to present insights clearly to cross-functional stakeholders.
- Strong cross-functional collaborator with the ability to partner effectively with Social, Communications, Creative, and Marketing teams.
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.
#LI-AD7
#LD
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to 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 proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Builds, operates, secures, and automates classified, air-gapped IT infrastructure supporting AI, simulation, and engineering workloads. Responsibilities include Windows and Linux administration, virtualization, storage, networking, identity, endpoint management, backup and recovery, vulnerability remediation, STIG compliance, logging, accreditation support, troubleshooting, documentation, facility stand-ups, and mentoring junior staff.
Top Skills:
AcasActive DirectoryAnsibleDhcpDisa StigsDnsElasticEnterprise StorageFirewallsGpu ComputingGroup PolicyHyper-VJsigNessusNist Sp 800-53Nutanix Ahv/PrismPkiPowershellPythonRed Hat Enterprise LinuxRmfScapSIEMSplunkStig ViewerTerraformVdiVirtualizationVlansVMwareWindows ServerWsus
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads end-to-end execution of complex autonomy-enabled UAS programs from requirements through deployment. Owns integrated planning, technical baselines, system integration, verification and testing, risk management, Agile delivery cadence, customer commitments, and executive communication. Coordinates hardware, software, autonomy, systems engineering, manufacturing, flight operations, cybersecurity, and field teams while mentoring technical leads and improving delivery predictability.
Top Skills:
AgileAIAutonomy SystemsAzure DevopsCameoConfluenceCybersecurityDoorsHivemindJamaJIRAJira AlignMicrosoft ProjectPolarionRoboticsSafeSatcomSmartsheetUas
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads end-to-end data enablement for Supply Chain and Manufacturing domains. Partners with business and technical stakeholders to define use cases, roadmaps, data models, semantic layers, integration requirements, quality controls, and governed data products. Builds and optimizes Databricks lakehouse pipelines using SQL, Python, PySpark, and Delta Lake across complex ERP, manufacturing, procurement, inventory, and finance systems. Establishes standards for lineage, security, documentation, reliability, and production readiness.
Top Skills:
DatabricksDelta LakeDeltek CostpointErpIfsMesMrpOraclePlmPysparkPythonSAPScmSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

