Plaid
Engineering Manager- Machine Learning Infrastructure
Plaid, San Francisco, California, United States, 94199
Overview
Engineering Manager- Machine Learning Infrastructure. Base pay range: $241,200.00/yr - $400,000.00/yr. Plaid is evolving into an AI-first company, where data and machine learning are the key enablers of smarter, more secure insight products built on top of Plaid’s vast financial data network. The Machine Learning Infrastructure team builds platforms that enable model developers to experiment, train, deploy, and monitor ML systems reliably and at scale — from feature stores and pipelines to deployment frameworks and inference tooling. The mission is to enable Plaid’s product teams to move faster with trustworthy insights, deploy models with confidence, and unlock the next generation of AI-powered financial experiences. This role leads a senior engineering team through the design, delivery, and operation of Plaid’s ML infrastructure and is execution-driven, translating strategy into action while fostering ownership and technical excellence. Location scope: Zone 1 includes New York City and San Francisco Bay Area. Other compensation includes equity and/or commission as applicable. Responsibilities
Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments. Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development. Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring. Ensure operational excellence of ML pipelines, deployment tooling, and inference systems. Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration. Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture. Qualifications
8–10 years of experience in ML infrastructure, including hands-on engineering experience (IC/TL). 2+ years of experience managing infrastructure or ML platform engineers. Proven experience delivering and operating ML/AI infrastructure at scale. Strong technical depth across ML/AI infrastructure domains (feature stores, pipelines, deployment, inference, observability). Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders. Strong communication and stakeholder management skills. Compensation and Benefits
Base pay range: $241,200.00/yr - $400,000.00/yr. The target base salary varies by location. Additional compensation may include equity and/or commissions. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as scope and responsibilities, experience, skillset, and location. Pay and benefits are subject to change at any time, consistent with applicable plans. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development, Technology, Information and Internet, Financial Services
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Engineering Manager- Machine Learning Infrastructure. Base pay range: $241,200.00/yr - $400,000.00/yr. Plaid is evolving into an AI-first company, where data and machine learning are the key enablers of smarter, more secure insight products built on top of Plaid’s vast financial data network. The Machine Learning Infrastructure team builds platforms that enable model developers to experiment, train, deploy, and monitor ML systems reliably and at scale — from feature stores and pipelines to deployment frameworks and inference tooling. The mission is to enable Plaid’s product teams to move faster with trustworthy insights, deploy models with confidence, and unlock the next generation of AI-powered financial experiences. This role leads a senior engineering team through the design, delivery, and operation of Plaid’s ML infrastructure and is execution-driven, translating strategy into action while fostering ownership and technical excellence. Location scope: Zone 1 includes New York City and San Francisco Bay Area. Other compensation includes equity and/or commission as applicable. Responsibilities
Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments. Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development. Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring. Ensure operational excellence of ML pipelines, deployment tooling, and inference systems. Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration. Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture. Qualifications
8–10 years of experience in ML infrastructure, including hands-on engineering experience (IC/TL). 2+ years of experience managing infrastructure or ML platform engineers. Proven experience delivering and operating ML/AI infrastructure at scale. Strong technical depth across ML/AI infrastructure domains (feature stores, pipelines, deployment, inference, observability). Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders. Strong communication and stakeholder management skills. Compensation and Benefits
Base pay range: $241,200.00/yr - $400,000.00/yr. The target base salary varies by location. Additional compensation may include equity and/or commissions. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as scope and responsibilities, experience, skillset, and location. Pay and benefits are subject to change at any time, consistent with applicable plans. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development, Technology, Information and Internet, Financial Services
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