**Who this is for** This is a senior executive role for a seasoned engineering leader with extensive experience in the advertising industry, specifically focuse
Work type: hybrid
Location: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Los Angeles, CA, US
Salary: $400,000 – $485,000/yr
Type: Full-time
**Who this is for** This is a senior executive role for a seasoned engineering leader with extensive experience in the advertising industry, specifically focused on quality engineering and machine learning solutions for complex, multi-party marketplaces. **Key highlights** You will lead a large-scale, global division of 200+ AI/ML engineers to optimize ad delivery funnels, push the boundaries of auction theory, and directly impact Pinterest’s monetization and business strategy. **You might be a good fit if you...** - Hold an advanced degree (MSc or PhD) in a quantitative field such as Statistics, Economics, or Computer Science. - Have 15+ years of industry experience, including a decade in management roles leading large-scale AI/ML teams. - Possess hands-on expertise in designing and deploying high-volume, large-scale machine learning systems in the advertising domain. - Are a skilled bridge-builder capable of aligning cross-functional teams across Sales, Business Operations, and Data Science.
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, we’re 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 other’s unique experiences and embrace the [flexibility](https://www.pinterestcareers.com/our-life/pinflex/) to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).
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 Pinterest's 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 Pinterest's 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 you’ll do:
#LI-RR4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$400,000—$485,000 USD