Engineering Manager - Machine Learning
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 insightsdriving measurable impact across Plaid's consumer experiences.
Responsibilities
Qualifications
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.
Engineering Manager Machine Learning • San Francisco, CA, US