Engineering Manager - Machine Learning at Plaid

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, Financial ServicesIndustries

Requirements

7+ years of industry experience developing machine learning models from inception to business impact, with proven ability to tailor solutions to business problems in a cross-functional team
3+ years of experience in a DS/ML managerial role
Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural networks, 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 (plus)
Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field
Experience applying state-of-the-art machine learning and data science techniques in the CGX/EWA/NEA domain

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

Skills

Key technologies and capabilities for this role

Machine LearningData ScienceML EngineeringModel DevelopmentModel ProductionizationFinancial ForecastingPersonalization SystemsNetwork Insights

Questions & Answers

Common questions about this position

What is the salary for this Engineering Manager role?

The job description mentions $268, which appears to be the starting point of the compensation range.

Is this a remote position or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 7+ years developing ML models from inception to impact, 3+ years in DS/ML managerial roles, deep understanding of techniques like classification, clustering, optimization, deep neural networks, and NLP, plus strong product intuition.

What is the company culture like at Plaid?

Plaid values technical know-how, creativity, user empathy, and teamwork, with a focus on building impactful ML systems in a collaborative environment.

What makes a strong candidate for this Engineering Manager position?

Strong candidates have a proven track record of strategic influence partnering with stakeholders to launch ML-driven products that drive revenue, plus hands-on experience in model development and productionization.

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$714.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.

Potential legal challenges, such as PNC's lawsuit over trademark issues.

Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.

Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.

Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.

Partnership with Dwolla enhances Plaid's presence in the secure payments sector.

Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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