Engineering Manager - Machine Learning - Plaid
View Company Profile- Job Title
- Engineering Manager - Machine Learning
- Job Location
- San Francisco
- Job Description
- 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
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Plaid Company Size
Between 1,000 - 2,000 employees
Plaid Founded Year
2012
Plaid Total Amount Raised
$1,309,299,968
Plaid Funding Rounds
View funding detailsSeries Unknown
$575,000,000 USD
Series D
$425,000,000 USD
Series C
$250,000,000 USD
Series B
$44,000,000 USD
Series A
$12,500,000 USD
Seed
$2,800,000 USD