PayPal is looking to develop methods and evaluation criteria for projects, align business opportunities with technical innovations, and deliver long-term impactful results, while also creating and driving the ads technology strategy, infrastructure, and architecture for the PayPal Ads organization.
Requirements
- 15+ years of experience in engineering, building platforms at scale
- Deep understanding of ML models, personalization engines, and automation tools
- Familiarity with real-time ML model serving and streaming infrastructure
- Degree in Computer Science, or a related technical field
- Advanced degree preferred
- Deep understanding of the advertiser, agencies, and advertiser branding and performance needs
- Excellent analytical skills and the ability to communicate complex technology concepts effectively
Responsibilities
- Develops the methods, techniques and evaluation criteria for projects, programs, and people
- Guides the business by aligning business opportunities with technical innovations
- Delivers results that have long-term effect on PayPal’s success
- Navigates unprecedented situations and sets “new norms” that integrate technology, business and personnel factors
- Aid in the development and growth of PayPal Ads engineering and technology strategy
- Lead technical initiatives: Drive the design, development, implementation, and deployment of ad technologies and solutions
- Lead the development and optimization of state-of-the-art machine learning models that powers Ads personalization
Other
- Minimum of 18 years of relevant work experience and a Bachelor's degree or equivalent experience
- Travel Percent: 0-
- Must be able to work in a hybrid work model with 3 days in the office and 2 days at home
- Must be able to navigate altitudes (shifting between strategic and tactical)
- Must have executive presentation skills; including in-person, written, and verbal
