Engineering Manager, AI Applications
$238k - $362k • Remote • San Francisco HQ • FullTime
Posted 4mo ago
Job Location
San Francisco HQ
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Plaid is at the forefront of revolutionizing the FinTech industry through AI. We are building the tools and experiences that empower developers and consumers to interact with financial data in new ways. As AI drives a significant paradigm shift, Plaid is uniquely positioned to be the financial data backbone for AI applications. We are looking for a leader to join our newly formed AI Applications Team, dedicated to scaling our successful AI initiatives and accelerating Plaid's transformation into an AI-first company. This role offers a unique opportunity to shape the future of AI in FinTech and influence industry developments.
Responsibilities
- Lead a team of 4 engineers, providing coaching and feedback for their development.
- Define and drive the long-term strategy and execution for the AI Applications team in partnership with product and technical leaders.
- Lead projects to enable and scale business with AI customers and partners, focusing on personal finance and expanding to other use cases.
- Develop and evolve integration patterns for Plaid with AI providers, including API adaptations and building MCP Servers.
- Redefine Plaid's consumer link experience for seamless integration into conversational interfaces.
- Architect the trust layer for agentic commerce.
- Scale and extend AI-powered customer experience initiatives, such as improving homegrown customer support agents with multi-turn and multi-agent systems.
- Define scalable offline evaluation methods for complex multi-turn tasks.
- Research and prototype Human-In-The-Loop Reinforcement Learning (RLHF) for insights generation.
- Pioneer architectures for customer-specific long-term memory.
- Extend agentic systems to support other critical customer journey areas like product recommendation, onboarding, risk diligence, and upselling.
Requirements
- 8+ years of industry experience, including time as a Staff-level engineer.
- 1+ years of engineering management experience.
- Hands-on experience building and shipping products with LLMs.
- Experience with prompt engineering, fine-tuning, and retrieval augmented generation (RAG).
- Experience with semantic search, vector databases, and embedding models.
- Experience with agent orchestration frameworks.
- Experience with evaluation and monitoring frameworks for open-ended tasks.
- Experience with streaming and SSE.
- Familiarity with common UX and design patterns for GenAI-powered products.
- Ability to understand customer and user needs through research and experimentation.
- Track record of building and growing high-performing engineering teams.
- Ability to balance divergent and convergent thinking.