Samba
Director of Content Marketing
San Francisco, California · Director
Sponsorship not specified$170k-$180kDetected 221 days ago
Full-Stack DevelopmentMachine LearningData ScienceNLPAI OrchestrationSEOSEMContent MarketingContent CalendarsLeadershipCommunication
About the role
- We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen.
- Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built.
- The biggest brands in the world use that picture to make smarter decisions.
Responsibilities
- Build and lead a high-performing content engine, our editorial newsroom, leveraging Samba's cross-screen media intelligence.
- Drive a focused content strategy aligned with launches, GTM priorities, and audience needs.
- Create repeatable storytelling frameworks around cross-screen insights, measurement, AI audiences, and ad effectiveness.
- Own the content calendar end-to-end for timely, high-quality output.
- Collaborate with data science, product, and engineering for accuracy and clarity.
- Partner with PR/Comms on executive thought leadership, media narratives, and analyst/conference content.
- Ensure narrative consistency across touchpoints and develop strong customer stories that demonstrate ROI.
- Manage and optimize distribution across LinkedIn, X, and other channels.
- Lead social strategy to amplify thought leadership and product news.
- Collaborate with Digital Marketing to support GEO, SEO, SEM, and paid promotion.
Nice to have
- BA in Marketing, Communications, Journalism
- advanced degree a plus.
- 7-10+ years in content marketing
Compensation
- $170k-$180k
Benefits
- 7-10+ years in content marketing; bonus if in ad tech, martech, data platforms, or SaaS.
Company info
- Samba is a media intelligence company.
- We think it's the most interesting data asset on the planet, because it's the most culturally relevant.
This listing is sourced directly from Samba's careers page and normalized into a canonical job model.