Startups · AI

Sofware Engineer, Backend (Staff)

Lightfield · HQ: San Francisco · On-site

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About Lightfield

Lightfield connects to your email, chat and business systems and does the legal work before it reaches your team. It gathers context, applies your policies and past decisions, and presents the finished work for your approval. Backed by Y Combinator.

About the role

At Lightfield, the backend is not a layer beneath the product. It is the product's foundation.

What they're looking for

  • 7+ years experience
  • Strong software engineering fundamentals and substantial experience building backend systems
  • A record of owning significant product-facing systems or ambiguous technical projects from design through production
  • Strong judgment about data models, APIs, system boundaries, migrations, and incremental rollout
  • Experience operating systems with real reliability, latency, throughput, and correctness requirements
  • Comfort debugging across multiple layers of the stack, especially when product behavior and system behavior do not line up neatly
More about this role

Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works—so AI can help teams anticipate what comes next, make better decisions, and take action.

More than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, Google, and Salesforce.

At Lightfield, the backend is not a layer beneath the product. It is the product's foundation.

Lightfield builds a living model of a company's customers from emails, calls, meetings, and other signals. It structures that raw history into customer-defined objects, attributes, relationships, and versioned values, then exposes the same underlying capabilities to the product UI, external APIs, automations, and agents. Decisions about the data model, authorization, event propagation, and execution semantics directly determine what customers can do.

As a...

Read the full posting on Lightfield's site ↗

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