Job Summary:This job manages software development projects, implements processes, ensures project delivery, analyzes technical issues, collaborates with stakeholders, and communicates technical issues with non-technical audiences. It involves setting operational targets and driving operational rigor.
Job Description:Essential Responsibilities: - Directly manages software development projects (including program management) and execution through individual contributors. May also lead project teams across platforms or groups
- Implements processes to drive strong operational hygiene for all components and systems within their group
- Responsible for the delivery of projects, including quality and timeliness, that impact their domain and potentially one other
- Demonstrates strong tactical ability by managing the roadmap for a scrum team responsible for technical issues of diverse scope where analysis requires an understanding of current business or tends
- Competent at communicating technical issues with non-technical audiences
- Analyzes multiple sources of information and identifies & resolves complex technical, operational, and organizational problems relating to software development.
- Collaborates with direct team, managers in org, stakeholders such as Product Owners & PMO
Minimum Qualifications:- 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:Technical Leadership & Platform Management- 5+ years of engineering experience with at least 2 years in a technical leadership capacity
- Experience managing or contributing to large-scale screening, decisioning, or compliance platforms processing high transaction volumes
- Hands-on background in algorithmic systems, rule engines, or machine learning model deployment
- Familiarity with business control frameworks and operational tools in financial services or regulated environments
AI/ML & Modern Technology Stack- Practical experience building or integrating AI/ML features into production systems, including exposure to LLMs, ML models, or intelligent automation
- Working knowledge of Google Cloud Platform services (BigQuery, Vertex AI, Cloud Run, Pub/Sub, GKE) for data processing and ML workflows
- Understanding of MLOps fundamentals including model monitoring, versioning, and deployment best practices
- Familiarity with modern AI frameworks (TensorFlow, PyTorch, Langchain) and emerging AI technologies
Compliance & Risk Domain Knowledge- Exposure to AML/KYC, sanctions screening, fraud detection, or financial crime prevention systems
- Basic understanding of regulatory requirements such as OFAC, BSA/AML, or similar compliance frameworks
- Experience working with commercial screening tools (World-Check, Fircosoft, Actimize) or building custom screening solutions
- Awareness of risk scoring approaches and false positive reduction techniques
Cross-Functional Collaboration- Proven ability to collaborate with Compliance, Risk, Product, and Analytics teams to deliver technical solutions
- Experience translating business and regulatory requirements into engineering deliverables
- Comfort presenting technical updates and recommendations to senior stakeholders
- Ability to balance regulatory requirements, customer experience, and operational efficiency
Data Engineering & Analytics- Solid foundation in data processing technologies (Spark, Kafka, SQL) and real-time or batch pipelines
- Experience building data workflows supporting operational systems and reporting/analytics needs
- Understanding of data quality, observability, and audit trail requirements
Team Leadership- Experience leading or mentoring engineering teams (10 engineers) or serving as a technical lead
- Track record of fostering collaboration and knowledge-sharing within teams
- Familiarity with agile development practices and modern software development lifecycle
- Ability to balance hands-on technical contribution with people management responsibilities
Additional Valued Experience- Contributions to technical design documents, architecture discussions, or engineering process improvements
- GCP certifications (Associate Cloud Engineer, Professional Data Engineer) or willingness to obtain
- Experience with Kubernetes, CI/CD pipelines, and infrastructure automation
- Background supporting multi-region or global platform operations
Subsidiary:PayPal
Travel Percent:0
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:San Jose, California | ($176,500.00 - $262,350.00 Annually)
Additional Location(s) | Pay Range:No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
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We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
