Sr. Manager, Policy Communications
Location: New York, NY, US; Los Angeles, CA, US; District of Columbia, Washington, US · Category: Marketing & Growth · Seniority: Director · Posted: October 10, 2026 · Verified: Oct 10, 2026
Role Overview & Description
About the company
Visual discovery platform with a self-serve advertising business.
Similar Positions in DACH
Related roles across advertising, media, and data
This role optimizes content across digital channels to improve engagement and conversion. Responsibilities include analyzing performance metrics, conducting A/B testing, and implementing SEO best practices.
This role leads developer engagement initiatives to build a strong community around Datadog's platform. Responsibilities include creating technical content, organizing events, and fostering relationships with developers to drive adoption and advocacy.
This role manages public relations initiatives, media relations, and corporate communications to enhance Datadog's brand and market presence. It requires strong media relationships and strategic communication skills.
This Principal Growth Marketing Manager focuses on SEO and Generative Engine Optimization (GEO) to drive organic growth. The role involves developing and executing strategies to improve search visibility and performance across both traditional and AI-driven search platforms.
More Positions at Pinterest
3 more open roles
Manages client accounts for Pinterest's advertising platform, ensuring advertiser satisfaction and retention. Focuses on day-to-day client relationship management and campaign performance.
This senior machine learning engineer role focuses on growth science at Pinterest. The engineer will develop models to drive user growth and engagement, leveraging large-scale data and machine learning techniques.
This staff machine learning engineer role focuses on developing and deploying visual AI models for content understanding at Pinterest. The engineer will work on image and video analysis to improve content recommendation and discovery, requiring expertise in machine learning, computer vision, and large-scale model deployment.
