Engineering Manager, AI Applications
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.
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.
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.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Equity