# VP, Ads Quality Engineering

**Company**: Pinterest
**Location**: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Los Angeles, CA, US
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Salary**: $400,000-$485,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7366112
**Canonical**: https://yubhub.co/jobs/job_d1074bc8-652

## Description

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.

Key responsibilities include:

- Overseeing a globally distributed team of 200+ AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterest’s monetization efforts.

- Providing both technical and organizational leadership to scale the team in response to evolving business demands.

- Managing and developing senior leadership within the team, including managers of managers and principal AI/ML experts, ensuring growth and continuous improvement at all levels.

- Partnering closely with engineering and product leadership to shape and drive the execution of Pinterest's monetization strategy.

- Fostering 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.

## Skills

### Required
- Machine Learning
- Generative AI
- Online Auction Dynamics
- Leadership
- Cross-functional Collaboration

### Nice to have
- Data-Driven Insights
- Advanced ML Solutions
- Substantial Business Impact