Manager, Software Engineering

Job Summary What you need to know about the role As part of the Merchant Reporting & Insights team at PayPal, you will lead the development of mission-critical systems that ingest, orchestrate, and analyze massive volumes of data. These systems generate millions of high-volume reports, transforming complex fintech data into actionable business insights. You ll be responsible for ensuring timely delivery of reports aligned with merchant SLAs and business cadences. Meet our team The Merchant Reporting & Insights team is at the heart of PayPal s data-driven decision-making. We build scalable data platforms and reporting tools that empower merchants with real-time insights. You ll collaborate with cross-functional teams across engineering, product , customers to deliver impactful solutions that drive business outcomes. Your way to impact You will lead the design and development of scalable, enterprise-grade data solutions that power critical reporting for merchants globally. Your leadership will drive innovation in big data and real-time processing, ensuring high-throughput systems meet business needs. You ll foster a culture of technical excellence, collaboration, and continuous improvement. Job Description Your Day-to-Day Provide technical leadership and guidance to teams of software engineers, fostering a culture of collaboration, innovation, and continuous improvement. Establish outcomes and key results (OKRs) and successfully deliver them. Drive improvements in key performance indicators (KPIs). Increase the productivity and velocity of delivery teams. Develop, plan, and execute engineering roadmaps that bring value and quality to our customers. Collaborate and coordinate across teams and functions to ensure technical, product, and business objectives are met. Instill end-to-end ownership of products, projects, features, modules, and services that you and your team deliver in all phases of the software development lifecycle. What do you need to bring 10+ years of experience in the software industry, with 3+ years of professional experience leading software development teams. Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges. Experience building and developing engineering teams that exhibit strong ownership, user empathy, and engineering excellence. Proven track record of delivering high-quality systems and software in Big Data Technologies including Spark, Airflow, Hive, etc., with practical exposure to integrating machine learning workflows into data pipelines. Proven track record of delivering high-quality systems and software in Java/J2EE technologies and distributed systems, with experience deploying ML models into production at scale using REST APIs, streaming platforms, or batch inference. Excellent communication skills with the ability to collaborate effectively with cross-functional teams (including data scientists and ML engineers) and manage stakeholders expectations. Ability to coach and mentor talent to reach their full potential, including guiding teams in adopting MLOps best practices and understanding AI model lifecycle management. Experience in building large scale, high throughput, low latency systems, including real-time data processing systems that support personalization, anomaly detection, or predictive analytics. Strong understanding of software development methodologies, modern technology topics and frameworks, and developer operations best practices. Experience with ML platforms (e.g., Kubeflow, MLflow) and familiarity with model monitoring, feature engineering, and data versioning tools is a plus. Provide leadership to others, particularly junior engineers who work on the same team or related product features. Proven experience delivering complex software projects and solutions effectively through Agile methodologies on a regular release cadence. Strong verbal and written communication skills. Strong customer focus, ownership, urgency and drive.