offpeak

Lightfield

Staff Software Engineer, Backend

1 Broadway, Cambridge, MA 02142

On-site · Full-time · $180k–$300k (as posted)

First seen by offpeak October 4, 2026

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About Lightfield

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.

About the role

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 Software Engineer, Backend, you'll own those decisions for important product capabilities. You'll start with an ambiguous customer or product problem, define the behavior and system boundaries, design the data model and APIs, sequence migrations, and carry the capability through rollout and production. Recent examples include record-level permissions, field history and audit, durable workflows, and consumption metering.

These foundations already operate at meaningful scale:

Scale makes the product work technically serious: new abstractions must be fast, reliable, observable, and safe under real load. But this is not primarily a role for keeping the lights on. It's a chance to define foundational pieces of an AI-native product while the architecture is still taking shape—and to see those decisions change what customers and agents can accomplish.

This role can be based in San Francisco or Cambridge. In San Francisco, you'd work from our HQ alongside the founders and most of the engineering team. In Cambridge, you'd join an initial group of staff-level engineers at our new Kendall Square site, working alongside one of our most senior infrastructure engineers. We aim to build the site and organization around this group as the company scales.

What you'll do

What your first year could look like

The work is organized around consequential product problems rather than a fixed infrastructure lane. Projects you might own or extend include:

You'll move among projects as priorities change, sometimes leading a small pod and sometimes contributing to one. The constant is end-to-end ownership: understanding why the capability matters, making the architecture concrete, shipping it, and staying close to how it behaves for customers in production.

What we're looking for

Helpful experience

You do not need all of these:

Why this role is interesting

Most companies separate product work from platform work: one team decides what customers should experience, and another builds the systems underneath it. At Lightfield, many of the most important product questions are backend questions. What does a customer record mean when its schema can change at runtime? How should permissions apply to an agent, an automation, a search result, or a meeting captured tomorrow? How do you make historical state, background execution, and customer-facing APIs reliable enough to become product primitives?

You'll get to answer questions like these while the answers are still being formed. The abstractions you design will be used by customers, product engineers, external developers, and agents—and will shape which products Lightfield can build next. The appeal is not just technical depth or scale. It's the chance to own consequential pieces of the product, from the customer problem to the production system, at a stage when individual engineering judgment still has outsized influence.

Benefits & Perks

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