Six Figure Work

Software Engineer, Infrastructure (Staff+)

Lightfield

Company websitelightfield.app (Lightfield, opens in new tab)

Base salary $220K  to $300K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more

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  • LocationSan Francisco, CA +1 more
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (9 min ago) · observed since
All places named
  • San Francisco, CA
  • Cambridge, MA

About this job

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

We’re looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of architecting, building, and scaling the core infrastructure and systems powering Lightfield's AI-driven CRM.

At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI and data systems. You’ll play a critical role in designing and building the data models and infrastructure that support a next-generation CRM, ensuring our system is performant, scalable, and resilient.

What you’ll do

  • Build and maintain full-stack systems, end-to-end, ensuring reliability, scalability, and performance.

  • Architect and scale the data infrastructure and backend services that power Lightfield AI-driven CRM.

  • Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights.

  • 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.

Who you are

  • 7+ years of experience in software development, with a strong background in infrastructure, data modeling, and backend systems.

  • Deep experience building scalable, high-performance data infrastructure that can support complex customer workflows and large-scale data processing.

  • Strong understanding of database design, indexing strategies, and query optimization, especially in PostgreSQL or similar relational databases.

  • You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.

  • You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.

  • Strong fundamentals in software engineering, with a degree in Computer Science or a related field.

  • 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.

Benefits & Perks

  • Competitive salary

  • Meaningful early equity

  • Health insurance (medical, dental, vision)

  • 3 weeks of PTO

  • 11 paid company holidays + we enjoy a winter holiday break

  • 3 months of paid family leave

  • Wednesdays work from home

  • Regular team dinners, events, offsites, and retreats

  • 401k plan

  • Other perks include: commuter and lunch stipend

Source: Lightfield on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($220,000) is above 79% of the 4,314 Software Engineering roles in California listed on this site; 75 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $203,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Lightfield roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Lightfield roles with the nearest advertised base floor
RolePublished base
Software Engineer, Infrastructure (Staff+) (this listing)$220K - $300K
Applied Researcher (Staff+)$220K - $300K
Software Engineer, Full Stack (Staff+)$220K - $300K
Software Engineer, Applied AI (Staff+)$220K - $300K
Software Engineer, Product (Staff+)$220K - $300K
Research Scientist (Staff+)$220K - $300K
Software Engineer, Agentic Pipeline Generation (Staff+)$220K - $300K

Same $100K to $400K scale as every card. All Lightfield roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
  3. fields changed
Observed since
Employer-stated posting date
2025-01-23
Where this pay comes from

Location as the employer wrote it: HQ: San Francisco • Cambridge, MA

USD 220,000 – 300,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.