![Integral Ad Science](https://cdn.builtin.com/cdn-cgi/image/f=auto,fit=contain,w=200,h=200,q=100/https://builtinsf.com/sites/www.builtinsf.com/files/2023-11/IAS_Square Logo 600x600.png)
Integral Ad Science
![Integral Ad Science](https://cdn.builtin.com/cdn-cgi/image/f=auto,fit=contain,w=200,h=200,q=100/https://builtinsf.com/sites/www.builtinsf.com/files/2023-11/IAS_Square Logo 600x600.png)
We're Hiring!
Jobs at Integral Ad Science
Search the 5 jobs at Integral Ad Science
Recently posted jobs
Seeking a Senior Product Manager to create and develop a new data measurement marketplace in the AdTech ecosystem. Responsibilities include developing products, leading API & Data Product strategy, creating revenue streams, guiding development in an agile environment, and collaborating with internal stakeholders. Ideal candidate should have a Bachelor's degree in Engineering, 5+ years of product management experience, familiarity with LLM and ML models, and a passion for learning new technology.
As a Corporate Counsel at Integral Ad Science, provide legal support for commercial transactions, business development, product, intellectual property, and corporate matters globally. Draft and negotiate agreements, provide legal advice across internal functions, enforce legal compliance, and support general corporate legal activities.
Lead a full stack team of engineers in software development lifecycle. Provide technical leadership, collaborate with stakeholders, and manage team performance.
Seeking a Senior Product Manager to develop and bring a new data measurement marketplace to the AdTech ecosystem. Responsibilities include developing products, leading API and Data Product strategy, launching new data products, driving functionality improvement, and collaborating with internal stakeholders.
As a Data Scientist at IAS, you will drive innovative research within the data science team, collaborate with core research teams, develop automated ML systems, and collaborate with engineers for fraud solutions. You should have a PhD or master's in a quantitative discipline, 3-5 years of experience in analytical problem-solving using quantitative approaches and ML methods, expertise in Python, R, SQL, and a deep understanding of data flow and business outcomes.