Jobs Companies Monaco Backend Product Engineer

Sobre este puesto de Backend Product Engineer en Monaco

Monaco · Presencial · San Francisco

Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack (CRM, sequencing, call recording, enrichment, pipeline management) with one unified system. We’re consolidating 6–10 disconnected tools into a single, purpose-built platform and redefining what’s possible when all the data lives under one roof in the age of AI - this is a category-defining shift, not an incremental improvement.


We launched publicly in Feb 2026 and are 50 people and growing. We have strong early product-market fit, creating millions in ARR in only a few months post-launch. Opportunities exist in both scaling core systems and workflows, and building new cutting edge features from 0 to 1.


We’ve raised $85M through our Series B from legendary investors including Founders Fund, Benchmark, and Human Capital. Our founders are industry veterans who previously led companies like Brex, Apollo, and Clari.


Come join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software.

We're looking for a Software Engineer to help build and shape Monaco's core product. You'll work closely with product and design to turn fuzzy ideas into real features that customers use every day. This is a hands-on role with real ownership - from first prototype to production and beyond.

What you'll do:

  • Build and ship product features end to end across the stack

  • Partner with product and design to solve real customer problems

  • Keep our systems fast, reliable, and easy to iterate on

  • Improve our dev workflows, tooling, and deployment over time

What we're looking for:

  • 2+ years of experience building product-driven software

  • Strong in at least one modern language (JS/TS, Go, etc.); some Python exposure

  • Experience with web frameworks, APIs, and cloud infrastructure

  • Curious, practical, and excited about building and using AI to move faster


Location:

  • San Francisco. We're an in-person team - 5 days in the office. At this stage, proximity genuinely accelerates product quality and team cohesion.

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