Head of Infrastructure & Data

Lightfield•San Francisco, CA

About The Position

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. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. The heart of a CRM is its data model. The ability to collect, store, organize, and retrieve the right data for the right application is absolutely crucial to Lightfield’s success. What makes it even more challenging is that Lightfield stores orders of magnitude more data than a traditional CRM and the data needs to be appropriately organized for both LLMs and humans. No one has built a product like this at scale. We’re hiring a senior engineering leader to establish and scale the Infra & Data function. You’ll collaborate closely with the founders to set architectural direction, evolve our core systems, and build the team responsible for the foundational layer of Lightfield.

Requirements

10+ years of experience building and scaling backend, data, and infrastructure systems.
Deep experience designing high-performance data infrastructure for large-scale ingestion, processing, indexing, and retrieval.
Strong expertise in relational database design, indexing strategies, and query optimization (PostgreSQL or similar).
Experience with full-text search systems (e.g., Typesense) enabling fast, structured querying.
Experience with vector search and semantic retrieval (e.g., Pinecone) to power AI-driven context and recommendations.
Experience with job orchestration and durable workflow technologies (e.g., Temporal, Celery) and event-driven architectures (e.g., Kafka).

Responsibilities

Define and execute Lightfield’s infrastructure & data strategy for our next phase of scale.
Advance the data, search, retrieval, and agent-execution systems that power our AI-native CRM.
Shape our event architecture and orchestrate reliable, high-throughput asynchronous processing and user-defined workflow execution.
Strengthen observability and operational practices to ensure reliability, performance, and proactive issue detection.
Recruit, grow, and lead a world-class Infra & Data engineering team.
Mentor engineers across Lightfield, contribute to code reviews, and elevate our engineering culture and practices.