---
title: 'Forward Deployed Engineer at Monaco'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-monaco-san-francisco-mghnkx5rp222'
type: 'job'
last_seen: '2026-09-07'
---

# Forward Deployed Engineer at Monaco

- **Company:** Monaco
- **Location:** San Francisco, CA
- **Compensation:** $200k–$400k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/monaco/3e2ab0e7-db5f-4fa0-b467-a4fd0e0be508

## Job description

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, consolidating 6–10 disconnected tools into a single platform built for the AI era.

We launched publicly in Feb 2026, are already 65 people, and have strong early product-market fit generating millions in ARR within months of launch. You'll have the chance to both scale our core systems and build new features from 0 to 1.

We've raised $85M in our Series B from Founders Fund, Benchmark, and Human Capital, and our founders previously led 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.

## THE ROLE

You'll join Delta Force, Monaco's forward deployed engineering team. Forward Deployed Engineers are the tip of the spear for our most strategic customers: when Sales, CX, or GTM needs something the product can't do yet, you embed with them, take an ambiguous, high-stakes problem, and own all of it from first discovery to a live, adopted system. Scoping, architecture, the build itself, the data, the rollout, and the outcome. The closest comparison is being a hands-on CTO for whichever customer or feature you're on.

This is a builder role, not an advisory one. You write production code, and you multiply your output by directing AI coding agents, so one engineer ships in days what used to take a team a quarter.

Work does not arrive pre-specified. The request reaches you vague and urgent, and it is yours from there: find the real problem, cut it to the smallest version that solves it, build it, hand it off with docs. Real customers are waiting and the timelines are short.

## WHAT YOU'LL DO

- Embed and ship. Embed with Sales, CX, and customers to understand how their business actually works, then scope, design, and ship production systems on real customer data.
- Build the hard parts yourself. Agents, MCP servers, API integrations, data pipelines, Retool apps, and the glue between messy systems.
- Deploy and tune Monaco's agents in the field. Get a customer's agents live on their real data and keep raising output quality through prompts, context, and configuration. When an agent is held back by a missing tool, integration, or data source, build that too.
- Unblock deals and rescue at-risk accounts. Build the workflow, agent, integration, or demo on the prospect's own data that shows Monaco can do what they need, and build what removes the blocker to renewal.
- Own adoption, not just delivery. The hardest part of a go-live is people, not code. A build only counts once the customer's team actually runs on it.
- Turn one-offs into product. Decide what stays a custom build and what becomes a roadmap item, make that case with evidence from real customers, and turn repeated builds into playbooks and reusable tooling.
- Be the direct line between the field and the roadmap. Bring back failure modes, evals, and requirements that shape what Product and Engineering build next.

## WHAT YOU'LL BRING

- 3+ years in a technical, customer-facing role (forward deployed, solutions, or software engineering with heavy customer exposure); former founders strongly encouraged
- Production-grade full-stack coding ability (Python and/or TypeScript) and comfort with APIs, webhooks, SQL, and data infrastructure
- Hands-on experience building with LLMs: prompting, agents, evals, and AI coding tools as your default way of working
- A track record of owning a complex, ambiguous outcome end to end
- Executive-ready communication and low-ego collaboration with customer stakeholders

## NICE TO HAVE

- Prior forward deployed, solutions, implementation, or consulting experience
- Deep familiarity with the GTM stack: CRMs, sequencing, enrichment, and RevOps workflows
- Experience building developer-facing assets: SDKs, reference apps, documentation

## 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.

## About Monaco

## Company Overview
- **One-liner**: Monaco is the first AI-native revenue engine for startups, replacing legacy CRM and disparate sales tools with a unified platform that automates demand generation, pipeline management, and revenue operations.
- **Entity Type**: Private (funding stage not disclosed; backed by top-tier investors)
- **Headquarters**: San Francisco, California, United States [builtin.com](https://builtin.com/company/monaco)
- **Founded**: Not publicly available (Built In lists "1971" as a placeholder error; the company is recent)
- **Founders**: Sam Blond (Co-Founder & CEO), Malay Desai (Co-Founder & CTO), Shek Viswanathan (Co-Founder & CPO), Brian Blond (Co-Founder) [monaco.com/company](https://www.monaco.com/company)

## Core Business
- **Primary industry/industries**: Sales technology (CRM, revenue intelligence, AI-powered sales engagement)
- **Target customers**: B2B startups (small to mid-market, enterprise-ready)
- **Mission or purpose statement**: Enable founders to focus on product while revenue scales itself [monaco.com/company](https://www.monaco.com/company)

## Products & Services
- **[Monaco Platform (SaaS)](https://www.monaco.com/product)**: All-in-one revenue platform combining database, signals, outbound sequences, pipeline tracking, call recording, and AI agents. Key components include:
  - **CRO Copilot**: Proactive coaching, insights, and prioritized actions.
  - **AI Agents**: Automate demand generation, pipeline management, and follow-ups.
  - **Pre-built TAM**: Automatically builds total addressable market from billions of data points.
  - **Signal-based pipeline**: Self-updating stages, risk detection, and auto-enrichment.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding not publicly available; reported headcount of 71 employees [builtin.com](https://builtin.com/company/monaco)
- **Notable Investors/Partners**: "Backed by top-tier investors" (names not specified in provided data) [monaco.com/company](https://www.monaco.com/company)
- **Growth Signals**: Growing team (11+ open roles listed across engineering, design, and customer success) [jobs.ashbyhq.com/monaco](https://jobs.ashbyhq.com/monaco); white-glove activation with dedicated forward-deployed sales executives; emphasis on rapid time-to-value ("value in days, not months").

## Competitive Advantages
- **Unified platform**: Replaces multiple point solutions (CRM, data enrichment, sequencing, call recording) with one AI-native system.
- **Pre-built data & signals**: TAM and account scoring are set up on day one, eliminating manual data work.
- **Built by operators**: Founding team includes former CRO of Brex and Zenefits, and former CPO of Apollo and Qualtrics, bringing deep startup sales expertise.
- **AI-first approach**: Agents actively run outbound, update pipeline, and provide a "CRO Copilot" that acts as an intelligent advisor.

## Strategic Focus
- **Current priorities**: Scaling the revenue engine platform, expanding AI agent capabilities, and onboarding more startups through rapid deployment and dedicated support.
- **Direction**: Continue replacing legacy CRM with a self-maintaining, signal-driven system that reduces manual sales work.

## Why Work Here
- **Culture**: Fast-paced startup environment with a focus on building a "world-class revenue engine" for other startups. Emphasis on operational excellence and customer impact.
- **Work policy**: Hybrid workspace – employees engage in a combination of remote and on-site work; primary office in San Francisco. [builtin.com](https://builtin.com/company/monaco)
- **Perks**: Roles span engineering (AI, full-stack, platform), product design, and forward-deployed customer success; the team values immediate impact and "effortless onboarding" for customers.

## Sources
1. [monaco.com - Product page](https://www.monaco.com/product)
2. [monaco.com - Company page](https://www.monaco.com/company)
3. [builtin.com - Monaco company profile](https://builtin.com/company/monaco)
4. [jobs.ashbyhq.com - Monaco careers](https://jobs.ashbyhq.com/monaco)

## Other roles at Monaco

- [GTM Operations & Analytics](https://feeny.ai/job/gtm-operations-analytics-monaco-san-francisco-tc0jzh1qvya5) — San Francisco, CA
- [Enablement Lead](https://feeny.ai/job/enablement-lead-monaco-san-francisco-y17rskdvqkeb) — San Francisco, CA
- [Client Operations](https://feeny.ai/job/client-operations-monaco-san-francisco-6mxpzz8a3dyn) — San Francisco, CA
- [AI Backend Product Engineer](https://feeny.ai/job/ai-backend-product-engineer-monaco-san-francisco-gnzj1fj67e08) — San Francisco, CA
- [Finance Lead](https://feeny.ai/job/finance-lead-monaco-san-francisco-6tvnztrb5yvh) — San Francisco, CA
- [Technical Recruiter](https://feeny.ai/job/technical-recruiter-monaco-san-francisco-g158z4zh64hb) — San Francisco, CA
- [Business Recruiter](https://feeny.ai/job/business-recruiter-monaco-san-francisco-33zxtafw30zs) — San Francisco, CA
- [Engineering & Product Operations Lead](https://feeny.ai/job/engineering-product-operations-lead-monaco-san-francisco-awpkmd7ajwjr) — San Francisco, CA
- [Technical Lead](https://feeny.ai/job/technical-lead-monaco-san-francisco-ws8ts0np6pqk) — San Francisco, CA
- [Launch Operations](https://feeny.ai/job/launch-operations-monaco-san-francisco-xrk5h6bsa4dm) — San Francisco, CA