Engineering Manager, AI Applications
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead a newly formed team focused on scaling AI initiatives and accelerating Plaid's transformation into an AI-first organization. Manage four engineers, define team strategy and execution, partner with technical and product leaders, and scale AI-powered customer and fintech experiences.
Requirements
- 8+ years of industry experience, including Staff-level engineering experience before management.
- 1+ year of engineering management experience.
- Hands-on experience building and shipping LLM-powered products using prompt engineering, fine-tuning, RAG, semantic search, vector databases, embedding models, agent orchestration, evaluation, monitoring, streaming, and SSE.
- Knowledge of UX and design patterns for GenAI products.
- Experience with user research, rapid experimentation, and understanding customer needs.
- Track record of building and growing high-performing engineering teams.
- Ability to balance divergent and convergent thinking for zero-to-one projects.
- Curiosity and passion for GenAI applications.
- Preferred: experience training or serving ML models in production and working in privacy- or PII-sensitive environments.
Responsibilities
- Lead and develop a team of four engineers through goal setting, coaching, and feedback.
- Define long-term team strategy and manage execution with technical and product leaders.
- Lead projects for major AI customers and partners, beginning with personal finance use cases.
- Develop integration patterns with AI providers, including official MCP Servers.
- Improve conversational interfaces, agentic commerce trust infrastructure, and AI-powered customer support.
- Scale multi-turn and multi-agent systems, offline evaluation, reinforcement learning, and customer-specific memory.
- Extend agentic systems across product recommendation, onboarding, risk diligence, activation, and upselling.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Equity
