Experienced Engineering Manager, Network Enablement and Access (NEA)

Engineering

Seattle, WA

Full-time

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system.

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 Network Enablement and Access (NEA) organization is the backbone of the Plaid network. We build and maintain connections to 10,000+ financial institutions, ensuring that every product Plaid offers is powered by reliable, high-quality data access. Our work spans the full lifecycle: building new integrations, maintaining existing ones at scale through automated health monitoring, turning network data into intelligence products for data partners, and giving customers direct visibility into their integration health.

NEA is evolving from a connectivity-first org that builds and maintains bank integrations at scale, to an intelligence platform that turns network data into products data partners value as much as connectivity itself. At the same time, we're rethinking how the org itself operates: applying AI not just to our products, but to the engineering workflows, operational processes, and technical infrastructure that underpin everything we ship. We've already dramatically reduced the cost of building new integrations with AI; the next phase extends that same thinking across how we monitor, diagnose, and evolve the network.

The Role

You'll lead NEA's 50+ engineering organization across eight teams, partnering with our Product Area Lead to co-own strategy and execution spanning access platform development, network enablement and intelligence, integration operations, and solutions engineering.

You'll manage six engineering managers directly, own the engineering hiring bar, and be the senior engineering voice in company-wide strategy discussions. You'll set technical direction across the org, deciding where to invest in foundations vs. product delivery and making those tradeoffs with conviction.

NEA is in the middle of an AI transformation. We've already seen dramatic results from leading AI transformations in integration development, and we're pushing toward agentic systems that can observe, diagnose, and repair issues autonomously. You should have a strong point of view on how AI changes the way engineering orgs build software.

Responsibilities

Set engineering strategy for NEA in partnership with the Product Area Lead. Balance product delivery with foundational investment across eight teams.

Manage 6 engineering managers. Coach, calibrate performance, develop the management bench.

Own technical direction for NEA's platform: integration frameworks, automation infrastructure, ML/data pipelines, and customer-facing surfaces.

Drive recruiting and hiring across the org. Set the bar, own pipeline health, make final hiring decisions for 10+ open roles.

Partner cross-functionally with product, data, operations, and business teams on roadmap priorities and tradeoffs.

Qualifications

10+ years of software engineering experience, 5+ years in engineering management.

2+ years leading large engineering organizations (40-50+ people) at the director level or equivalent.

Track record of building technical foundations that created compounding returns.

Experience working cross-functionally with product, data, operations, and business teams as a true partner.

Nice to have:

Experience leading AI transformation in an engineering org.

Experience shipping data/insights products.

Fintech background.

$264,000.00 - $400,000.00 per year

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 here.

Other opportunities

London
Engineering Manager - Europe
See role
London
Staff Software Engineer - Europe
See role
New York
Data Scientist - Fraud
See role
New York
Data Scientist - Network Value
See role
New York
Engineering Manager - Customer Growth & Experience
See role
New York
Engineering Manager - Data Partner Experience
See role
New York
Engineering Manager - Machine Learning Infrastructure
See role
New York
Engineering Manager - Payment Risk
See role
New York
Macro & Credit Research Economist
See role
New York
Senior Data Scientist - Data Foundations & AI
See role
New York
Senior Data Scientist - Payments
See role
New York
Senior Data Scientist - Payments ACH
See role
New York
Senior Developer Relations Engineer - Customer Growth and Experience
See role
New York
Senior Machine Learning Engineer - Fraud (Research Scientist)
See role
New York
Senior Machine Learning Engineer - Payments
See role
New York
Senior Software Engineer - Backend
See role
New York
Senior Software Engineer - Fullstack
See role
New York
Senior Software Engineer - ML Infrastructure
See role
New York
Software Engineer
See role
New York
Software Engineer - Platform
See role
New York
Staff Software Engineer - Money Movement
See role
New York
Staff Technical Program Manager - FinOps
See role
San Francisco
Data Engineer - Data Engineering
See role
San Francisco
Data Scientist - Fraud
See role
San Francisco
Data Scientist - Network Value
See role
San Francisco
Engineering Manager - Consumer
See role
San Francisco
Engineering Manager - Credit Distribution
See role
San Francisco
Engineering Manager - Customer Growth & Experience
See role
San Francisco
Engineering Manager - Intelligent Tooling
See role
San Francisco
Engineering Manager - Machine Learning Infrastructure
See role
San Francisco
Engineering Manager - Payment Risk
See role
San Francisco
Macro & Credit Research Economist
See role
San Francisco
Senior Data Engineer - Data Engineering
See role
San Francisco
Senior Data Scientist - Data Foundations & AI
See role
San Francisco
Senior Data Scientist - Payments
See role
San Francisco
Senior Data Scientist - Payments ACH
See role
San Francisco
Senior Developer Relations Engineer - Customer Growth and Experience
See role
San Francisco
Senior Machine Learning Engineer - Fraud (Research Scientist)
See role
San Francisco
Senior Machine Learning Engineer - Payments
See role
San Francisco
Senior Software Engineer - AI Applications
See role
San Francisco
Senior Software Engineer - Backend
See role
San Francisco
Senior Software Engineer - Data Infrastructure
See role
San Francisco
Senior Software Engineer - Fullstack
See role
San Francisco
Senior Software Engineer - ML Infrastructure
See role
San Francisco
Senior Software Engineer - Network Enablement (Applied ML)
See role
San Francisco
Software Engineer
See role
San Francisco
Software Engineer - Platform
See role
San Francisco
Staff Software Engineer - AI Applications
See role
San Francisco
Staff Software Engineer - Money Movement
See role
San Francisco
Staff Software Engineer - Online Storage
See role
San Francisco
Staff Technical Program Manager - FinOps
See role
Seattle, WA
Data Scientist - Fraud
See role
Seattle, WA
Engineering Manager - Credit Distribution
See role
Seattle, WA
Senior Data Engineer - Data Engineering
See role
Seattle, WA
Senior Data Scientist - Data Foundations & AI
See role
Seattle, WA
Senior Data Scientist - Payments
See role
Seattle, WA
Senior Data Scientist - Payments ACH
See role
Seattle, WA
Senior Developer Relations Engineer - Customer Growth and Experience
See role
Seattle, WA
Senior Machine Learning Engineer - Fraud (Research Scientist)
See role
Seattle, WA
Senior Machine Learning Engineer - Payments
See role
Seattle, WA
Senior Software Engineer - Backend
See role
Seattle, WA
Senior Software Engineer - Data Infrastructure
See role
Seattle, WA
Senior Software Engineer - Fullstack
See role
Seattle, WA
Software Engineer
See role
Seattle, WA
Staff Software Engineer - Money Movement
See role
Seattle, WA
Staff Software Engineer - Online Storage
See role
Seattle, WA
Staff Technical Program Manager - FinOps
See role
United States
Senior Developer Relations Engineer - Customer Growth and Experience
See role
United States
Senior Machine Learning Engineer - Fraud (Research Scientist)
See role