Revenue Operations Architect – GTM Systems Builder

🕒 August 18

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💹 Revenue Operations

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Level AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $39.4M Series C - Level AI on 2024-07

Artificial Intelligence • SaaS • Enterprise

Level AI is a customer experience (CX) platform that uses proprietary AI models to analyze and automate contact center interactions. It scores 100% of customer interactions, deploys AI voice agents, provides real-time agent assist and coaching, automates quality assurance (Auto-QA), and delivers voice-of-the-customer analytics. Level AI Latitude comprises seven task-specific models designed for enterprise CX, claiming improved cost-efficiency and speed versus general-purpose LLMs. The company targets high-volume, regulated contact centers in industries such as financial services, healthcare, retail, and insurance, and emphasizes security and compliance (ISO 27001, SOC2, HIPAA, PCI, GDPR).

📋 Description

• Build a simplified, high-accuracy forecast using Gong and Salesforce with a MEDDICC-based commit/best-case structure and weekly CRO cadence • Design and own deal-desk pricing guardrails, discount authority, and quote governance • Build territory and quota models, capacity planning, attainment tracking, and Salesforce routing logic • Architect the signal layer routing product usage and intent data into scored queues for BDRs and AEs • Architect and ship production GTM AI agents for research, sequencing, forecasting, and daily pipeline briefings • Develop an ICP scoring model that improves as deal data compounds • Build a live executive dashboard covering pipeline coverage, conversion, ramp velocity, NRR, and forecast accuracy • Establish systems and data hygiene that make GTM metrics trustworthy • Own cross-functional GTM projects end to end, including pricing changes, launches, and new-segment entry • Partner with Marketing to maintain one pipeline definition and one source of truth

🎯 Requirements

• 6+ years in RevOps, GTM engineering, or sales strategy at high-growth B2B SaaS/AI companies • Ideally experienced through the $20M–$100M ARR scaling phase • Hands-on experience personally building forecasts, routing logic, deal-desk rules, dashboards, or GTM automations • Deep working fluency in Salesforce and Gong • Strong analytical and systems-design instincts • Bias toward shipping, finishing, and closing the loop on projects • Comfort building with AI tooling, including Claude, agents, and LLM-driven workflows • Ability to influence a tenured, change-resistant seller base by proving value and driving adoption • Nice to have: CPQ/Salesforce architecture depth • Nice to have: experience with outbound data infrastructure, including enrichment, sequencing, and intent • Nice to have: enterprise sales motion and complex-deal support