Jobs at Integral Ad Science

Positions 597,541

Integral Ad Science (IAS) is a global leader in digital ad verification, providing data-driven solutions that ensure digital ads are viewable by real people, in brand-safe environments, and free from ad fraud. Known for its sophisticated technology, IAS empowers advertisers and publishers to optimize their digital campaigns, improve media quality, and maximize ROI across various platforms and formats. Their expertise spans viewability, brand safety, ad fraud prevention, and contextual targeting, making them a critical player in maintaining trust and efficiency within the digital advertising ecosystem.

Candidates exploring opportunities at Integral Ad Science can expect roles centered around complex data analysis, real-time processing, and scalable infrastructure. Typical positions include Software Engineers (across backend, frontend, and full-stack disciplines), Data Scientists, Machine Learning Engineers, Product Managers, Technical Account Managers, and DevOps Specialists. Working at IAS often involves contributing to products that process massive data volumes, utilize advanced algorithms, and integrate with a wide array of ad tech platforms, offering a challenging yet rewarding environment for tech professionals.

Leveraging Job Transparency to explore Integral Ad Science positions provides a distinct advantage. Each listing includes specific, transparent salary ranges, allowing you to evaluate compensation upfront and negotiate effectively. Additionally, our platform offers sentiment data, giving you insights into employee experiences and company culture, enabling a more informed decision about your next career move at IAS.

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Frequently Asked Questions

What is it like to work at Integral Ad Science?
Working at Integral Ad Science means contributing to the integrity and effectiveness of digital advertising. The culture emphasizes innovation, data-driven decisions, and collaboration, often within a fast-paced environment. Employees tackle complex problems related to ad fraud detection, brand safety, and media quality, utilizing cutting-edge technologies and machine learning. You'll work alongside experts dedicated to building robust, scalable solutions that impact major brands and publishers globally.
What types of positions are typically available at Integral Ad Science?
Integral Ad Science frequently hires for a range of technical and business-oriented roles. Common openings include Software Engineers specializing in Java, Python, or Go; Data Scientists and Machine Learning Engineers focused on ad fraud and predictive analytics; Product Managers driving feature development; and Technical Account Managers who bridge client needs with engineering solutions. Other roles span DevOps, Site Reliability Engineering, Quality Assurance, and various sales and client services positions within the ad tech domain.
How can an applicant stand out when applying to Integral Ad Science?
To stand out at Integral Ad Science, tailor your application to highlight relevant experience in ad tech, large-scale data processing, or real-time systems. Showcase your problem-solving skills, particularly in areas like machine learning, distributed systems, or cloud infrastructure. Demonstrate a clear understanding of IAS's mission in ad verification and brand safety. During interviews, be prepared to discuss specific technical challenges you've overcome and articulate how your skills align with their innovative approach to digital advertising quality.

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