Senior Engineering Manager, Discover Content Quality & Ranking
Snapchat is used by hundreds of millions of people every day to express themselves, keep in touch with their friends, and discover content from the community and publishers. Snap Engineering is a group of kind, smart, and creative engineers building products that reach hundreds of millions of Snapchatters around the world, every day. We move fast, with precision, and always execute with privacy at the forefront.
A core part of Snapchat’s offering is Snap Discover, which is the most authentic storytelling platform for users to share their perspectives and stay closely connected with their personal worlds - whether it’s creators & publishers, or cultural moments they care about. Every day, over a hundred million people use Discover to find Stories from their communities, and creators, along with narratives & news from their favorite publishers, shows, and brands, all in one place and thoughtfully curated to their lives through advanced Machine Learning. For creators and publishers, Discover is the best tool to deepen engagement with their audience built through various other products on Snapchat.
We are looking for an experienced engineering leader to support the various teams working on Discover Content Quality & Ranking. In this role, you will be responsible for delivering the best content to the most relevant people and at the right time. The job is challenging, meaningful, and fun. The role is based in our San Francisco or Mountain View office, with teams located in Seattle, Los Angeles, and the Bay Area.
What you'll do:
Own key top-line business metrics including but not limited to Discover content quality and product engagement
Oversee day-to-day operations of the various teams working on Discover Content Quality & Ranking problems
Develop organizational-level goals, drive the technical and organizational roadmap for the engineering team
Collaborate with Content, Finance, Product, and Engineering teams distributed across multiple offices
Build, grow, and mentor a team of exceptional machine learning engineers, software engineers, and technical leaders.
Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering
Min Qualifications
BS/BA in a technical field such as Computer Science or equivalent experience
Minimum 6+ years of experience managing a large team of 30+ engineers and experience with managing managers and cross-functional dependencies
Extensive experience (10+ years) working with applied machine learning problems in the domains of content ranking, computer vision, content understanding, or related fields
Track record of building, growing, and mentoring high performing large teams
Preferred Qualifications:
Track record of building new or hyper-growth ML-driven products impacting hundreds of millions of users
Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
Preferred experience with feed ranking, search, or advertising
Relevant experience with data science and Internet-scale infrastructure
Have a passion to learn new things, develop people, and make a business impact at a very large scale