Top Artificial Intelligence Marketing Jobs

Lead Gallatin's public relations and external communications: run day-to-day PR, build media/analyst relationships, craft messaging and collateral, translate complex AI/defense capabilities for government audiences, support executive communications, and measure coverage and engagement against company goals.

The Operations Intern will focus on SEO, content optimization, social media scheduling, and performance analysis to drive growth.

The role involves managing customer-led demand initiatives, producing case studies, launching demand-generating campaigns, and supporting customer events to enhance brand engagement and drive sales pipeline.

Create and review realistic media, broadcasting, and content-production scenarios in English or target language; adapt evaluation rubrics; assess AI and human outputs for factual accuracy, editorial quality, cultural fit, and operational realism; produce gold-standard solutions reflecting local newsroom and broadcast best practices.

Build and run Zania's demand generation engine: design multi-channel and ABM campaigns, own marketing automation and CRM, create high-converting content, and deliver predictable pipeline for enterprise GRC customers.

Lead Reddit organic marketing and SEO/AEO programs, develop playbooks for AI-driven visibility (e.g., ChatGPT), execute data-driven campaigns, and provide detailed analytics and reporting to meet client KPIs.

Lead brand expression and integrated go-to-market programs, unifying creative, product, growth, and communications to deliver cohesive campaigns that drive awareness, engagement, and measurable pipeline growth while building and managing an in-house creative and agency ecosystem.

The Technical Product Marketing Manager will drive go-to-market strategies, develop compelling messaging, and collaborate cross-functionally to support product launches in regulated industries.

Produce clear, objective prediction contests at volume. Write concise, unambiguous questions with resolution criteria, follow evolving templates, revise from feedback, and stay current in a chosen specialty area.

Run CAIS’s daily social presence: translate technical AI safety research into clear social copy, own content calendar and publishing strategy, engage and seed comment conversations, build an amplifier network of creators/clippers, perform social listening, and create a social playbook and scalable stack.