Engineering Manager, Plaid

Machine Learning Infrastructure

$241.2-400k

Senior and Expert level

San Francisco Bay Area

1-5 days a week in office

Data network powering the tools millions of people rely on to live a healthier financial life

Open for applications

Data network powering the tools millions of people rely on to live a healthier financial life

1001+ employees

FintechB2BBankingInternal toolsSaaSAPI

Open for applications

$241.2-400k

Senior and Expert level

San Francisco Bay Area

1-5 days a week in office

1001+ employees

FintechB2BBankingInternal toolsSaaSAPI

Company mission

To unlock financial freedom for everyone.

Job

Company

Role

Who you are

We are looking for a leader who combines deep technical expertise in ML infrastructure with proven experience scaling and managing senior engineering teams
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

What the job involves

As the Engineering Manager for Machine Learning Infrastructure, you will be responsible for guiding a senior engineering team through the design, delivery, and operation of Plaid’s ML infrastructure.
You’ll ensure clarity of execution, help your team deliver high-quality systems, and partner closely with ML product teams to meet their needs. This role is execution-driven: you will translate strategy into action, remove blockers, and build a culture of ownership and technical excellence
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

Our take

Plaid builds infrastructure that allows consumers to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.

Plaid has integrated with over 12,000 financial institutions in the US, Canada, the UK and Europe. And about a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs).

The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts. This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

40% female employees

-15% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 6 rounds)

Apr 2025

$575m

LATE VC

Apr 2021

$425m

SERIES D

Total funding: $1.3bn

Company benefits

Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft

Company HQ

SoMa, San Francisco, CA

Leadership

Zach Perret

(Co-Founder & CEO)

Previously, Zach was a Consultant at Bain and a Research Fellow and Trustee at Duke before co-founding Plaid ion 2012.

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