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Manager, Engineering - Payments AI/ML Foundation Jobs

62 Job Offers

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Senior Director, Consumer Engineering
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United States
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296310.00 - 355572.00 USD / Year
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Babylist
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Staff/Senior AI/ML Engineer - Python/TensorFlow/PyTorch, MLflow/Cloud
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Pakistan , Islamabad
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10Pearls
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Staff Technical Program Manager - FinOps
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United States , San Francisco
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175200.00 - 284400.00 USD / Year
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Plaid
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Data Engineer/Scientist
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Mexico , Mexicali
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Trimble Inc.
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Senior Product Manager, AI Platform
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India , Bengaluru
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Zuora
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Product Marketing Manager for AI Cloud Providers and Foundation Model Builders
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United States
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VAST Data
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Enterprise Architect
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United Arab Emirates , Abu Dhabi
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NorthBay
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Enterprise Architect
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United Arab Emirates , Abu Dhabi
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NorthBay
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Enterprise Architect – GenAI
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United Arab Emirates , Abu Dhabi
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NorthBay
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Principal Product Manager - AI Marketplace
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India , Hyderabad
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Teradata
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Senior AI Engineer
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Romania , Cluj-Napoca
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Linnify
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Senior Data Scientist
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Australia , Sydney; Melbourne; Brisbane; Hobart
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UpGuard
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DevOps Quality Engineer
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Bulgaria , Sofia
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European Bank for Reconstruction and Development
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Senior ML Data Engineer
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Awin Global
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Senior ML Data Engineer
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Poland , Warsaw
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Awin Global
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Staff Security Engineer
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United Kingdom , London
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hyperexponential
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Data Platform Architect
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United States , San Francisco
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253500.00 - 380500.00 USD / Year
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GoFundMe
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Balance Sheet Advanced Analytics - Senior Vice President
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India , Mumbai
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Citi
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AI/ML Engineer - Senior Analyst
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Canada , Mississauga
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Citi
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Senior Machine Learning Engineering Manager
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United States , Mountain View; San Francisco; Seattle
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190300.00 - 305700.00 USD / Year
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Explore high-impact Manager, Engineering - Payments AI/ML Foundation jobs, a pivotal leadership role at the convergence of financial technology and advanced artificial intelligence. Professionals in this career path are responsible for building and leading the core machine learning platforms and infrastructure that power modern, intelligent payment systems. They oversee teams of data scientists, machine learning engineers, and software developers to create scalable, reliable, and innovative foundations that enable features like fraud detection, transaction risk scoring, payment routing optimization, and personalized financial experiences. The typical day-to-day involves strategic planning and hands-on technical leadership. Common responsibilities include architecting robust ML pipelines for model training, deployment, and monitoring; ensuring the foundational AI platform meets stringent requirements for low-latency, high-availability, and security critical to the payments domain; and managing the full ML development lifecycle. These managers collaborate closely with product, data, and infrastructure teams to translate business needs into technical roadmaps, prioritize foundational projects, and allocate resources effectively. A core aspect of the role is fostering a culture of engineering excellence, mentoring talent, and staying ahead of emerging trends in both AI/ML and payment processing technologies. To succeed in these jobs, candidates typically need a strong blend of technical depth and people leadership. A solid background in software engineering, distributed systems, and machine learning principles is essential. Proficiency with cloud platforms (AWS, GCP, Azure), ML frameworks (TensorFlow, PyTorch), and MLOps practices is commonly required. On the leadership side, exceptional communication skills, experience in agile project management, and a proven ability to hire and develop high-performing technical teams are paramount. A deep understanding of the payments ecosystem—including its regulatory considerations and unique technical challenges—is a significant advantage for those seeking Manager, Engineering - Payments AI/ML Foundation jobs. This career offers the opportunity to shape the intelligent backbone of global financial transactions, making it a sought-after and rewarding path for engineering leaders.

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