Inactive
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Lightfield

Builds self-updating CRM for people and AI agents

AI Product Engineer New Grad

Full-Stack EngineeringPosted on Nov 20, 2025
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Strong fundamentals in software engineering, with a degree in Computer Science or a related field
  • Ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL

Responsibilities

  • Collaborate with product leaders to identify customer problems, scope requirements, and implement solutions
  • Build and maintain full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance
  • Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement
  • Mentor teammates, participate in code reviews, and help shape engineering culture and practices
  • Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing

Desired Qualifications

  • Excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them
  • Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment
  • Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders
  • Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable

About the Company

Lightfield

Builds self-updating CRM for people and AI agents

Lightfield builds customer relationship software for founders and sales teams, using conversations to keep a shared record of their customers and deals. Its AI agents use that record to research prospects, prepare for meetings, follow up with buyers, and inspect opportunities that need attention. Email, calendar, calls, and Slack feed structured accounts and contacts, while teams query the record in plain language and connect other software through its API. Customers pay subscriptions for capture seats and workspace access, with credits covering agent work and advanced enrichment. The CRM launched in 2025 and is based in San Francisco; its legal operator is Magical Tome, Inc.

Company size
11-50
Company stage
Series A
Total funding
$47M
Headquarters
San Francisco, CA
Founded
2025

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