Engineering Manager - Machine Learning

# Engineering Manager - Machine Learning Engineering New  York Full-time

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

Plaid’s Data organization is building models, services and platforms that improve how millions of users understand and grow their financial lives. We are looking for a tech lead manager with experience applying state-of-the-art machine learning and data science techniques in the CGX/EWA/NEA domain. We value not only technical know-how, but also creativity, user empathy, and teamwork.

You’ll be a Tech Lead Manager overseeing a team of Machine Learning Engineers and Data Scientists embedded across Plaid’s CGX, EWA, and NEA product areas. Your team builds and scales ML systems that power growth personalization, financial forecasting, and network insights—driving measurable impact across Plaid’s consumer experiences.## Responsibilities
* Leading a talented ML team that builds systems powering growth, personalization, and financial insights across CGX, EWA, and NEA.
* Working hands-on in ML model development and productionization, driving business impact.
* Partnering with product and platform teams to turn data and models into production features that reach millions of users.
* Shaping Plaid’s broader ML ecosystem by influencing technical standards, shared pipelines, and model development best practices.
* Growing as a leader who balances deep technical engagement with long-term organizational and strategic impact.## Qualifications
* 7+ years of industry experience developing machine learning models from inception to business impact. Proven ability to tailor your solutions to business problems in a cross functional team
* 3+ years of experience in DS/ML managerial role
* Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing
* Strong product intuition and excitement to work fast and iteratively
* Proven track record of strategic influence by partnering with key stakeholders to shape and launch cutting-edge ML-driven products that drive revenue and market growth.
* Data analytics and data engineering experience is a plus
* Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field

The target base salary for this position ranges from $268,000/year to $400,000/year in Zone 1. The target base salary will vary based on the job's location.

Our geographic zones are as follows:

Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We…