As a Principal Product Manager in Ad Tech at Condé Nast, your main responsibilities include owning and optimizing the ad tech stack, driving revenue decisions through data analysis, leading cross-functional teams, and monitoring key revenue metrics. You'll also develop partnerships with strategic vendors to maximize demand and spearhead innovations in ad formats.

To qualify for the role of Principal Product Manager, Ad Tech at Condé Nast, candidates should have at least 7 years of hands-on experience in ad tech, particularly in programmatic advertising and yield optimization. A strong analytical foundation, problem-solving skills, and a natural curiosity about auction dynamics are also essential.

The Principal Product Manager, Ad Tech plays a critical role in driving revenue at Condé Nast by optimizing the ad stack, enhancing ad performance, and implementing yield optimization strategies. Through effective management of ad tech tools and cross-functional collaboration, you will help ensure the success of Condé Nast's largest revenue stream.

There are numerous growth opportunities for a Principal Product Manager, Ad Tech at Condé Nast, including regular interaction with executive leadership, participation in industry conferences, and a clear path to senior leadership roles in product and revenue organizations. This role directly influences major revenue initiatives and strategic planning.

In this role, a Principal Product Manager, Ad Tech at Condé Nast will work with tools such as Google Ad Manager, Prebid, and various supply-side platforms (SSPs) like Magnite and PubMatic. Familiarity with SQL, A/B testing, and data visualization tools will also be crucial for monitoring and optimizing ad performance.

In your answer, highlight specific tools and technologies you've worked with, such as Google Ad Manager and any SSPs. Discuss your involvement in optimizing campaign strategies and any metrics you improved, illustrating your expertise in programmatic advertising.

Discuss your strategies for maintaining a balance between revenue growth and user experience. Mention techniques like setting strategic price floors, testing auction mechanics, and utilizing data analytics to inform your decisions.

Share your experience with SQL and any visualization tools you've used to track and analyze key performance metrics. Explain how you leverage data to make informed decisions that enhance ad performance.

Choose a specific instance where you encountered an ad delivery issue. Describe the steps you took to diagnose the problem, the solutions implemented, and the positive outcomes that resulted from your actions.

Explain your understanding of user experience principles and how you've worked to implement ad placements that maximize revenue while maintaining an enjoyable browsing experience for users.

Discuss new formats such as video, rich media, or native ads you've experimented with. Detail your strategy for testing these formats and the results they yielded in terms of engagement and revenue.

Describe examples of cross-functional collaboration with engineering and ad operations teams. Highlight how you effectively voiced product needs and contributed to problem-solving in complex technical scenarios.

Articulate the importance of being data-driven, setting clear objectives, and aligning teams toward common revenue goals. Explain how you influence strategy development and execution in a fast-paced ad tech environment.

Discuss your methodology for setting up A/B tests, what metrics you focus on for ad performance, and how the insights gained from these tests impact design and revenue strategy.

Share your familiarity with integrating various SSPs, discussing the importance of demand quality and your experience managing those relationships to optimize yield and revenue outcomes.