Engineering Manager - Machine Learning

# Engineering Manager - Machine LearningEngineeringSan FranciscoFull-timeWe 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 fieldThe 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 AreaZone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San DiegoZone 4 - Raleigh-Durham and all other US citiesAdditional 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 recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.Please review our Candidate Privacy Notice .New YorkEngineering Manager - Payment RiskNew YorkExperienced Engineering Manager - Customer Growth & ExperienceSan FranciscoEngineering Manager - Machine Learning InfrastructureSan FranciscoEngineering Manager - Payment RiskSan FranciscoEngineering Manager - Update PipelineSan FranciscoExperienced Engineering Manager - Customer Growth & Experience

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