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Lightfield

Builds self-updating CRM for people and AI agents

Software Engineer, Backend - Staff+

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of 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.
  • Product orientation and concern for customer-visible consequences of backend decisions, not only implementation elegance.
  • Ability to make practical tradeoffs, communicate clearly, and create alignment without relying on formal authority.

Responsibilities

  • Own core product capabilities end to end, from customer requirements and behavioral semantics through data model, API, migration, rollout, and operation.
  • Design shared abstractions used by the product UI, public API, agents, automations, and internal engineering teams.
  • Evolve a schema-flexible, graph-shaped data model on Postgres, where customers define objects, attributes, and relationships at runtime and values change over time.
  • Build systems for authorization, history, event propagation, durable execution, and metering that become visible parts of the customer experience.
  • Partner directly with product engineers, product leadership, and customers to turn ambiguous needs into practical backend architecture.
  • Make high-throughput Node.js services, Postgres query paths, APIs, queues, and background jobs fast, reliable, observable, and understandable.
  • Debug production behavior across application code, database execution, distributed workflows, and observability data.
  • Determine when a focused fix is sufficient and when a durable new primitive or architectural change is needed.
  • Raise the technical bar through design leadership, code review, operational ownership, and clear engineering judgment.
  • Define and enforce record-level access across the product UI, REST API, search, dashboards, agent context, captured interactions, and exports, and migrate customers safely onto the model.
  • Make field and relationship changes queryable and trustworthy for customers, agents, APIs, and compliance-sensitive workflows.
  • Evolve the transactional outbox that propagates CRM mutations into search, summarization, automations, and downstream systems while preserving ordering, attribution, and observability.
  • Build the execution model behind long-running workflows and automations, including retries, scheduling, versioning, debugging, and safe code execution.
  • Design metering primitives connecting product behavior to consumption limits, customer analytics, and billing.
  • Ship zero-downtime changes across Postgres and search infrastructure while preserving correctness for a live, multi-tenant product.
  • Move among projects as priorities change, sometimes leading a small pod and sometimes contributing to one; own work end to end from understanding the customer need and making the architecture concrete through launch and production operation.

Desired Qualifications

  • Experience with Node.js or similar high-throughput service environments.
  • Experience with Postgres performance tuning, query planning, indexing, transaction design, or multi-tenant data modeling.
  • Experience with APIs, queues, workflow systems, background jobs, and distributed systems.
  • Experience with observability, incident response, service ownership, and production debugging.
  • Experience in a high-growth product environment.

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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