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Product Engineer

Engram· Member of Technical Staff
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San FranciscoFull-timePosted 1mo ago

About the role

Product Engineer / Product Researcher at Engram, building a new kind of model that gains familiarity and deep understanding of workspaces, learning continually over time. Owns the new product experience and serves as the voice of customers and end users.

Responsibilities

  • Own a product surface end to end, from backend systems to APIs, user experience, deployment, observability, evaluations, and feedback loops
  • Interface with customers (application layer AI companies) to design models with memory in their products
  • Develop evals and build telemetry to improve the product experience and the underlying models
  • Prototype agentic products and interfaces on top of the new kind of models we're building, experiment with shared team-wide agents that know their context, and build internal products to dogfood our technology
  • Train models to demo product form factors end-to-end, and work closely with model researchers
  • Help define the product engineering culture, including standards for quality, ambition, and taste

Qualifications

  • Entrepreneurial: You may be an ex-founder. Independent, thrive in ambiguity, ownership mindset, able to operate across multiple domains
  • Technically rigorous: Deep technical understanding, ability to build reliable, high-quality experiences and communicate with researchers
  • User-centric: Motivated by building something useful, listens to customers and users with empathy
  • Creative: Excited about greenfield opportunities and thinking about how users will interact with memory-enabled models
  • Tinkerer / builder: Hands-on, enjoys prototyping, familiar with agents and AI, builds things with a point of view on maximizing their value
Last updated Sep 15, 2026. Interested? Apply on the company site.

About Engram

AI has learned the world. Now it should learn yours.

Today’s AI models don’t understand what you do. Not really. Everything models know comes from their training – and they’re trained mostly on the public internet.

NotionHarveyMicrosoftengram modelsM365Custom AgentsNotion workspacesAI context
Company profileWebsite

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