Responsibilities
- Build and grow the Intelligent Tooling engineering team from the ground up, including hiring, setting early technical direction, and establishing team culture and operating norms.
- Develop, integrate, and own Plaid’s AI-powered developer tooling and internal platforms, including AI coding tools, agentic workflows, and AI-native SDLC automation.
- Take ownership of existing internal tooling platforms (e.g. Retool, Wadsworth, ID2), ensuring clear ownership, reliable operations, and steady improvements to developer experience.
- Drive organization-wide adoption of AI tooling by embedding AI directly into core engineering workflows such as coding, testing, debugging, and incident response.
- Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional partners to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid’s standards.
- Define and execute against clear success metrics (e.g. usage, quality, reliability) to measure the real impact of Intelligent Tooling across the engineering organization.
Qualifications
- 8–10+ years of engineering experience, including time as an IC building production systems.
- 3+ years of experience managing and scaling engineering teams.
- Demonstrated success driving adoption of new tools or workflows, ideally AI-powered, for their own team.
- Hands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems.
- Strong technical judgment with depth in at least one of: developer tooling / DX platforms, infrastructure or platform engineering, or applied AI systems in production.
- Experience translating ambiguous strategy into execution and delivering measurable outcomes.
- Excellent communication and stakeholder management skills.
- [Nice to have] Proven experience leading internal platforms or developer tooling with broad adoption across an engineering organization.
- [Nice to have] Prior ownership of internal platforms with reliability and SLOs, supporting a large internal engineering audience.
- [Nice to have] Experience partnering with security, privacy, legal, or other governance functions on AI-related systems.
Our geographic zones are as follows:
Zone 1 - San Francisco / New York City / Seattle
Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
Zone 4 - All other US cities
The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
Other opportunities
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London
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Staff Software Engineer - Europe
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Engineering Manager - Payment Risk
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Integrations Operations Program Manager
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Senior Data Scientist - Fraud
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Senior Machine Learning Engineer - Fraud (Research Scientist)
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Senior Machine Learning Engineer - Payments
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Senior Software Engineer - Backend
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Senior Software Engineer - Fullstack
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Software Engineer
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Staff Software Engineer - Money Movement
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Data Scientist - Network Value
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Engineering Manager - Consumer
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Engineering Manager - Payment Risk
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Experienced Engineering Manager, Network Enablement and Access (NEA)
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FinOps Program Manager
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Macro & Credit Research Economist
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Senior Data Engineer - Data Engineering
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San Francisco
Senior Data Scientist - Data Foundations & AI
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San Francisco
Senior Data Scientist - Fraud
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San Francisco
Senior Developer Relations Engineer - Customer Growth and Experience
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Senior Machine Learning Engineer - Fraud (Research Scientist)
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Senior Machine Learning Engineer - Payments
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Senior Software Engineer - AI Applications
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Senior Software Engineer - Backend
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Senior Software Engineer - Data Infrastructure
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Senior Software Engineer - Fullstack
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Senior Software Engineer - Network Enablement (Applied ML)
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Software Engineer
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Software Engineer - Platform
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San Francisco
Staff Software Engineer - AI Applications
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San Francisco
Staff Software Engineer - Money Movement
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San Francisco
Staff Software Engineer - Online Storage
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Seattle, WA
Experienced Engineering Manager, Network Enablement and Access (NEA)
- See role
Seattle, WA
FinOps Program Manager
- See role
Seattle, WA
Integrations Operations Program Manager
- 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 - Fraud
- 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
United States
Senior Developer Relations Engineer - Customer Growth and Experience
