San Francisco, CA, US; Seattle, WA, US; Remote, CA, WA, US (United States) · Remote
Full-time
Mid level
2 weeks ago
Verified apply link — checked 4 hours ago
Salary undisclosed
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 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 . We are seeking a Staff Engineer to lead the App Promotion engineering team. In this role, you will own the engineering roadmap to take Pinterest’s App Install Optimization product from beta to GA, hardening the current alpha/beta experience, closing critical measurement gaps, and ensuring readiness across Ads Manager, backend services, and mobile clients. You will lay the groundwork for future optimizations (App Event Optimization, tROAS, and retargeting) by partnering with Ads Quality, ML, and Measurement teams to build scalable models, robust experimentation, and trustworthy reporting. You will manage a team of 5–6 full stack and mobile engineers, foster an inclusive and high-performing team culture, and work closely with cross-functional leaders across Ads, Measurement, and Product to align on strategy, tradeoffs, and execution. What you’ll do Lead the engineering team responsible for the App Promotion objective and App Install Optimization, owning delivery from beta through GA. Partner with Product, Design, and PMM to define and refine the advertiser experience for App Promotion in Ads Manager, including campaign creation, targeting, optimization, and reporting. Work with Ads Quality, ML, and infra teams to ensure robust serving, modeling, and experimentation for app promotion campaigns. Collaborate with Measurement, Reporting, and Partner teams to close SKAN and MMP attribution gaps and ensure App Promotion reporting is accurate and trusted. Establish and maintain strong engineering practices for App Promotion, including design reviews, experimentation standards, on-call, monitoring, and incident response. Hire, coach, and develop a diverse team of engineers; foster a culture of inclusion, learning, and operational excellence. What we’re looking for Bachelor's or higher degree in Computer Science or a related technical field, or equivalent practical experience. Several years of engineering management experience leading full stack and/or mobile teams shipping production systems. Experience in performance, growth, or ads engineering, preferably with app install, app engagement, or lower-funnel objectives. Demonstrated ability to lead complex, cross-functional projects involving Product, Data, Design, and other engineering teams. Strong technical judgment and ability to dive deep into architecture, data quality, and measurement details when needed. Strong communication skills and the ability to explain strategy, tradeoffs, and technical decisions to both technical and non-technical stakeholders. Commitment to building inclusive teams and promoting a sense of belonging. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This
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