VP, Ads Quality Engineering

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Summary:

As the Vice President Ads Quality Engineering you will spearhead our AIML engineering division dedicated to leveraging data machine learning innovations and the vanguard of AI to enhance Pinterests ads delivery funnel. Possessing robust analytical skills a deep understanding of machine learning and generative AI online auction dynamics and previous experience leading substantial engineering teams you will push the boundaries of current AIML applications multi-party marketplace behavior and auction theory. Your efforts will be crucial in maximizing Pinterests monetization opportunities.

This pivotal role grants you the autonomy to collaborate extensively across the organization aligning interests and strategies among pinners content creators and advertisers in our distinct marketplace. Your leadership will be instrumental in shaping advanced ML solutions that not only define industry standards but also drive substantial business impact.

What youll do:

• Oversee a globally distributed team of 200 AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterests monetization efforts.
• Provide both technical and organizational leadership to scale the team in response to evolving business demands.
• Manage and develop senior leadership within the team including managers of managers and principal AI/ML experts ensuring growth and continuous improvement at all levels.
• Partner closely with engineering and product leadership to shape and drive the execution of Pinterests monetization strategy.
• Foster strong cross-functional (XFN) collaborations across multiple departments including Sales Business Operations Data Engineering and Core Services to ensure cohesive efforts and optimal outcomes in monetization strategies.

What were looking for:

• An MSc or PhD degree in Economics Statistics Computer Science or a related field.
• A minimum of 15 years of relevant industry experience demonstrating a depth of technical proficiency and leadership.
• At least 10 years of experience in managerial roles with a proven track record of effective team leadership and development.
• Exceptional cross-functional (XFN) collaboration skills and a strong capability in communication crucial for liaising seamlessly across departments.
• A natural bridge-builder skilled in fostering alignment and driving strategic initiatives within the engineering and product organization at Pinterest.
• Hands-on experience in designing and deploying large-scale machine learning systems with a preference for those possessing specific expertise in the Advertising domain.
• Strong analytical abilities underpinned by a solid foundation in mathematical and statistical models enabling sophisticated problem-solving and innovation.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration once or twice a week and therefore needs to be in a commutable distance from one of the following offices: Palo Alto San Francisco Seattle or Los Angeles.

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