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The Executive Assistant will support C-level executives by managing calendars, scheduling meetings, and handling logistics. Responsibilities include expense reports, preparing reports, providing technological support, and maintaining professional communications. The role requires flexibility, attention to detail, and the ability to work independently while fostering improvements in efficiency through technology.

The Director of Knowledge Management will lead strategies for knowledge sharing through technology and processes. Responsibilities include managing content workflows, user engagement for continuous improvement, overseeing multiple projects, vendor relations, and driving AI initiatives. The role involves ensuring the quality and relevance of internal and external documentation while providing direct support for enterprise systems.

The Lead Product Manager will strategize and execute the platform roadmap for customer onboarding and integration within the digital advertising ecosystem, oversee platform optimization and compliance, manage feature releases, and collaborate with sales and customer success teams to enhance user experiences.

The Director of Knowledge Management will lead initiatives to enhance user experience through effective knowledge sharing, project management, and vendor relationships. Responsibilities include managing content workflows, driving user engagement, overseeing multiple projects, and implementing AI strategies to optimize technology solutions. The role involves collaboration with internal stakeholders and external vendors to ensure content accuracy and strategic planning.

Lead the strategy and execution for IAS’s core platform, focusing on customer onboarding and integration in the digital advertising ecosystem. Drive platform optimization, oversee API development, and manage feature releases while collaborating with sales and customer success to enhance product adoption.

Product Manager responsible for leading product development, innovation, cross-functional collaboration, customer-centric design, data-driven decision making, strategic partnerships, and owning product metrics for the social media product suite at Integral Ad Science.

As a Staff Data Scientist at IAS, you'll lead ML projects, integrate data for production-ready models, and collaborate with cross-functional teams to optimize ad performance. You'll spearhead the development of AI models, communicate insights to stakeholders, and establish yourself as a domain expert in programmatic advertising.