Software Engineer, Infrastructure (Staff)

Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. The market agrees. Over 5,000 companies have used Lightfield since we launched in November, making us the fastest-adopted product in our category. We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, 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.

Responsibilities

• 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.

Requirements

• 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