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Overview
Plaid is seeking an Engineering Manager for AI Applications to lead a team focused on integrating AI into FinTech solutions. The role involves strategy development, team management, and enhancing customer experiences through AI. Plaid is dedicated to empowering financial transformation by building tools that developers use to create their own products. We work with thousands of companies to connect financial accounts to apps and services, covering 12,000 financial institutions across the US, Canada, UK, and Europe.
What you'll do
- •Lead a team of 4 engineers, developing them through clear goal setting, coaching, and feedback
- •Define and drive the long-term strategy and manage execution on the team, in close partnership with technical and product leaders across Plaid
- •Lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others:
- •Develop and evolve the preferred integration pattern for Plaid with AI providers
- •Redefine how Plaid’s consumer link experience embeds into conversational interfaces
- •Architect the trust layer for agentic commerce
- •Scale and extend our existing successful bets on AI-powered customer experience:
- •Improve our homegrown customer support agent
- •Extend our agentic system to support other critical parts of the customer journey.
Conditions
- •Additional compensation in the form of equity and/or commission
- •Comprehensive benefit plan, including medical, dental, vision, and 401(k)
- •Pay based on factors such as scope and responsibilities, candidate's experience, and location.
- •Reasonable accommodations for candidates with disabilities.
Must-haves
- •8+ years of industry experience, including time as a Staff-level engineer before transitioning into management.
- •1+ years of engineering management experience
- •Hands-on experience working with LLMs to build products and shipping them with real user feedback:
- •Prompt engineering
- •Fine-tuning
- •Retrieval augmented generation (RAG)
- •Semantic search
- •Agent orchestration framework
- •Evaluation and monitoring framework
- •Ability to understand customer needs through user research
- •Track record of building high performing engineering teams
- •Ability to balance divergent and convergent thinking.
- •Passionate about working in GenAI applications space.
Nice to have
- •Experience training and/or serving ML models in production
- •Comfortable operating in privacy-sensitive environments.
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