# Strategy & Operations at Monaco > Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Amonaco%3Abf07e829-3cf9-41fa-97d9-fd7ba8653adb (read 2026-11-06). ## Facts (observed) - Company: [Monaco](https://alderhq.app/companies/monaco) - Location text: San Francisco - Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco") - Posted: 2026-09-25 (42 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/monaco/bf07e829-3cf9-41fa-97d9-fd7ba8653adb - Skills listed (inferred): SQL ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 2255): p25 $99k, median $155k, p75 $208k ## Description (the employer's text) 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 own post-sales operations at Monaco and be the strategic partner to our launch operations and FDAE (post-sales) teams. This is a senior RevOps hire with a post-sales focus: you run the operational machinery that gets customers from signature to value, and you use data to tell leadership what's actually driving retention and expansion in a usage-based business and how to implement it. ### What You'll Do Own GTM operations end to end for launch operations and post-sales: onboarding, implementation, sales-to-post-sales handoff, time-to-value, and the systems and processes the teams run on Find where customers stall in onboarding, fix the process, and measure the impact on activation and usage Identify what our top customers have in common and turn it into playbooks the whole team runs Grow usage-based revenue with the post-sales team: model consumption, spot expansion and at-risk signals early, and build the motions that act on them Drive the post-sales analytics with our data team: dig into activation, usage, customer health, expansion, churn, and FDAE productivity, and turn what you find into decisions Partner with launch, FDAE (post-sales), and CX leaders on operational projects and drive them to completion Run leadership-level reporting and planning on retention, expansion, and net revenue Be the person who spots the problem in the numbers before anyone else does, and brings a recommendation, not just a chart ### Who We're Looking For ### Must-Haves 2 - 4 years at a top-tier investment bank, management consulting, PE, or VC followed by 2+ years in a GTM, RevOps, or BizOps role at an early-stage startup Exceptional with data: fluent in SQL and spreadsheets, comfortable building models from scratch, and able to explain the answer to a sales leader in one sentence Strong instincts for what makes customers succeed, or the analytical horsepower to find it fast Thrive with autonomy in a high-velocity environment where priorities shift weekly ### Strong Pluses You've run post-sales or CX operations before: onboarding, implementation, health scoring, and renewals Experience growing revenue in a usage-based or hybrid pricing model Experience at a B2B early stage startup Track record of turning standout customer outcomes into a repeatable playbook --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Amonaco%3Abf07e829-3cf9-41fa-97d9-fd7ba8653adb and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.