The ad says“Semantic search - vector database and embedding models”
The ad says“Evaluation and monitoring framework of open-ended tasks”
The ad says“Fine-tuning”
The ad says“Extremely curious and passionate about working in GenAI applications space”
The ad says“Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:”
The ad says“Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases”
The ad says“Prompt engineering”
The ad says“Retrieval augmented generation (RAG)”
The ad says“Semantic search - vector database and embedding models”
The ad says“Streaming and SSE”
The ad says“Streaming and SSE”
The ad says“Common UX and design patterns for GenAI-powered products”
The ad says“Semantic search - vector database and embedding models”
You will have the opportunity to lead this newly formed team that is dedicated to rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid’s transformation into an AI-first company
You will lead a team of 4 engineers, ranging from junior to staff, developing them through clear goal setting, coaching, and feedback
You will define and drive the long-term strategy and manage execution on the team, in close partnership with technical and product leaders across Plaid
Have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI <> Fintech will be heading longer term
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; examples include:
Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond
Redefine how Plaid’s consumer link experience embed into conversational interfaces in the most seamless way
Architect the trust layer for the future of agentic commerce that will become the industry standard
Scale and extend our existing successful bets on AI-powered customer experience; examples include:
Make the next step-function improvement in our homegrown customer support agent - land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc
Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products
Benefits
Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Preferred experience
Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM
Agent orchestration framework
Fine-tuning
Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects
8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management
Streaming and SSE
Retrieval augmented generation (RAG)
Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:
Semantic search - vector database and embedding models
Evaluation and monitoring framework of open-ended tasks
Extremely curious and passionate about working in GenAI applications space
Common UX and design patterns for GenAI-powered products
1+ years of engineering management experience
Prompt engineering
Track record of building and growing high performing engineering teams (either as an engineer or a manager)
We encourage you to apply to a role even if your experience doesn’t fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases
Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations
