Jobs · Engineering · California

Engineering Manager, AI Applications

Plaid · San Francisco Bay Area · 6 days ago
HybridEngineering$216k–$367k/yrFull-time

Responsibilities

  • Lead a team of 4 engineers, ranging from junior to staff, 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
  • Work with your team to 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 - from API adaptations to building the official Plaid MCP Servers, and beyond
  • Redefine how Plaid’s consumer link experience embeds 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
  • 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
  • Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI

Qualifications

  • 8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management
  • Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback
  • 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
  • Track record of building and growing high performing engineering teams (either as an engineer or a manager)
  • Extremely curious and passionate about working in GenAI applications space

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