Director – Engineering Ads ML Infrastructure
| Company | |
|---|---|
| Location | Palo Alto, CA, USA, Seattle, WA, USA, San Francisco, CA, USA |
| Salary | $274473 – $480328 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, a related field or equivalent experience.
- 5+ years of experience as an engineering manager, with experience managing managers.
- 10+ years of industry experience in large-scale distributed systems, relational and non-relational datastores, and system programming.
- Experience in building and owning critical user-facing ML backend systems, enabling AI/ML innovations while solving scaling, reliability, and performance problems in high-volume low-latency distributed systems.
- Strong cross-functional collaborator and communicator.
Responsibilities
- Collaborate with product and engineering stakeholders across the organization to architect infrastructure solutions to unlock AI/ML innovations that drive growth of Pinterest ads business.
- Grow a fast growing engineering organization, setting the technical vision, leading the day-to-day execution, as well as fostering good team health and culture.
- Modernize the ML ecosystem for the entire Pinterest Ads product offerings to achieve high reliability, scalability, efficiency, and developer velocity.
Preferred Qualifications
-
No preferred qualifications provided.