Engineering Manager- Machine Learning Infrastructure at Plaid

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, Financial ServicesIndustries

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., 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

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

Skills

Key technologies and capabilities for this role

ML InfrastructureFeature StoreMLOpsModel TrainingModel DeploymentModel MonitoringML PipelinesDeployment FrameworksInference Tooling

Questions & Answers

Common questions about this position

What is the salary range for this Engineering Manager role?

The target base salary ranges from $241,200 to $400,000 per year in Zone 1, which includes New York City and San Francisco Bay, and varies based on location.

Is this role remote or does it require working from a specific location?

This information is not specified in the job description beyond salary varying by location in Zone 1 (New York City and San Francisco Bay).

What skills and experience are required for this position?

Candidates need 8–10 years of experience in ML infrastructure with hands-on expertise, 2+ years managing infrastructure or ML platform engineers, proven delivery of ML/AI infrastructure at scale, technical depth in areas like feature stores and pipelines, and strong execution and communication skills.

What is the team culture like for the ML Infrastructure team?

The role involves recruiting, mentoring, and developing engineers while fostering a collaborative and high-performing team culture focused on ownership and technical excellence.

What makes a strong candidate for this Engineering Manager role?

A strong candidate combines deep technical expertise in ML infrastructure with proven experience scaling and managing senior engineering teams, plus the ability to drive execution on complex projects.

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$714.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.

Potential legal challenges, such as PNC's lawsuit over trademark issues.

Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.

Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.

Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.

Partnership with Dwolla enhances Plaid's presence in the secure payments sector.

Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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