Plaid is building the tools and experiences that thousands of developers use to create their own products, empowering the transformation of how people interact with their finances. The Data organization is building models, services and platforms that improve how millions of users understand and grow their financial lives. The Tech Lead Manager will oversee a team building and scaling ML systems that power growth personalization, financial forecasting, and network insights—driving measurable impact across Plaid’s consumer experiences.
Requirements
- 7+ years of industry experience developing machine learning models from inception to business impact.
- 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
- Data analytics and data engineering experience is a plus
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.
Other
- Proven ability to tailor your solutions to business problems in a cross functional team
- 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.
- Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field
- We value not only technical know-how, but also creativity, user empathy, and teamwork.
