Essential Responsibilities:
- Develops the methods, techniques and evaluation criteria for projects, programs, and people
- Guides the business by aligning business opportunities with technical innovations
- Exercises complete latitude in determining how to achieve success for associated group, relying on corporate priorities and peer relationships to inform personal goal setting
- 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
- Anticipates risks, trends & opportunities marketplace, and identifies and strategic solutions
- Reconciles situations without a “right answer,” selecting the compromises the business can most afford
- Acts as a leader and visionary, by inspiring, steering, and driving other leaders towards a compelling goal
- Collaborates with senior leadership on strategic decisions
Minimum Qualifications:
- Minimum of 18 years of relevant work experience and a Bachelor's degree or equivalent experience.
Job Description Summary:
What you need to know about the role:
Your Day to Day:
- Aid in the development and growth of PayPal Ads engineering andtechnology strategy.
- Develop and grow PayPal Ads engineering and technology strategy: Contribute to shaping the strategic direction and ensure alignment with business goals.
- 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.
- Integrate Ad technologies into PayPal applications: Ensure seamless integration within PayPal's ecosystem.
- Promote continuous improvement: Foster a culture of accountability and cohesion within the PayPal Ads technology team.
- Communicate technical insights and data-driven recommendations clearly to both technical and non-technical stakeholders.
- Mentor and guide junior engineers and data scientists.
What You Bring:
- Degree in Computer Science, or arelated technical field.Advanceddegree preferred.
- 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.
- Deep understanding of the advertiser, agencies, and advertiser branding and performance needs.
- Excellent analytical skills and the ability to communicatecomplex technology conceptseffectively.
- Ability to navigate altitudes (shifting between strategic and tactical).
- Ability to synthesize complex information into the essential points to inform executive decision-making.
- Outstandingcommunication andinfluencing skills.
- Results-oriented, analytical, self-motivated, and a“hands-on” leader witha proven ability to meet objectives/targets, develop and scale a team, and cultivate superb relationships with cross-functional teams.
- Experience and appreciation for cultural nuances when workinginternationally.
- Executive presentation skills; including in-person, written, and verbal.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $209,000 to $359,150
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Our Benefits:
Any general requests for consideration of your skills, please
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