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Engineering Manager (AI Applications)

Plaid · United States

External listingfull-timeabout 2 months ago

About The Role

Join Plaid as an Engineering Manager (AI Applications) and lead a newly formed team dedicated to rapidly scaling successful AI initiatives. You will manage a team of 4 engineers, define and drive the long-term strategy, and have a front-row seat to the latest industry developments. Your projects will focus on enabling and scaling the business with AI customers and partners, as well as improving customer experience through AI-powered solutions. Enjoy a vibrant work environment, competitive pay, comprehensive health benefits, and various lifestyle perks.

  • Lead a team of engineers in developing and executing the long-term strategy for AI applications at Plaid.
  • Drive projects that enable and scale the business with AI customers and partners, focusing on personal finance use cases.
  • Scale and extend existing successful bets on AI-powered customer experience, including customer support and product recommendations.
  • Common UX and design patterns for GenAI-powered products
  • Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects
  • Semantic search - vector database and embedding models
  • 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:
  • 1+ years of engineering management experience
  • Retrieval augmented generation (RAG)
  • Streaming and SSE
  • Prompt engineering
  • Extremely curious and passionate about working in GenAI applications space
  • Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM
  • Track record of building and growing high performing engineering teams (either as an engineer or a manager)
  • Fine-tuning
  • Agent orchestration framework
  • 8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management
  • Evaluation and monitoring framework of open-ended tasks
  • 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
  • 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!

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