# Senior Backend Engineer - CRM (USA Only, 100% Remote) at Close

- Company: Close
- What the company does: Close is the CRM with a built-in AI teammate that works with your team to call leads, qualify prospects, book meetings, and keep your CRM up to date automatically, so you can focus on selling. Backed by Y Combinator.
- Company website: https://close.com
- Type: Startups
- Level: Senior
- Location: USA - Remote
- Work setup: Remote
- Pay: $140K to $210K base salary per year (USD)
- Posted: 2026-09-01
- Apply by: 2026-10-16
- Apply: https://jobs.ashbyhq.com/close/1022d31e-238a-4236-a44d-9d59c94f1ccd
- Page: https://www.1752.vc/careers/jobs/close-senior-backend-engineer-crm-usa-only-100-remote/

## About the role

Today, this team is making big moves towards the next iteration of Close's core data model, our largest engineering effort currently underway. We're reopening assumptions made a decade ago and asking what a modern CRM's data model should look like — one that makes Close flexible for our small, scaling business customers. This is a long series of migrations and rearchitecture projects. If you like greenfield and you like hairy, this is both: help design the next version of Close, and untangle the current one.

## What they're looking for

- A seasoned engineer. Python is our backbone, but perhaps you've worked across Go, Rust, or TypeScript. You pick the right tool for the workload rather than retreating to what you know
- Architecturally minded. This is the thing we care about most. You've designed systems others built on, planned a migration that couldn't take the product down, and know how to sequence a rearchitecture into pieces that ship independently
- Drawn to data model and retrieval problems. Schemas, relationships, normalization, query design, type systems. The plumbing decides whether a CRM feels fast and we pride ourselves on being fast
- Experienced in search — this is a serious bonus. Elasticsearch especially, and anything adjacent: Lucene internals, query planning, relevance, indexing at scale, building or operating a search engine
- AI-native in production. You've shipped meaningful LLM-backed or agentic features to real users, and you have a POV on where AI earns its place in a CRM workflow and where a structured system wins
- Working with AI in your day-to-day. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund best-in-class developer tools and treat experimentation as part of the work

Tags: Engineering