---
title: 'Revenue Operations Architect — GTM Systems Builder at Level AI'
canonical: 'https://feeny.ai/job/revenue-operations-architect-gtm-systems-builder-level-ai-united-states-6fxaryw3m2qz'
type: 'job'
last_seen: '2026-09-12'
---

# Revenue Operations Architect — GTM Systems Builder at Level AI

- **Company:** Level AI
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-10
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/levelai/547c0e23-c994-418b-b256-3e44333a75b6

## Job description

Level AI · Remote (US) · Reports to the CRO

## About Level AI

Level AI is building the LLM-native platform for customer experience. We process 100% of contact center interactions in real time to power automated QA, real-time agent assist, Voice of the Customer, and voice/chat AI agents — used by companies like Affirm, Penske, Carta, and OpenTable. We’re Series C, scaling fast, and rebuilding our GTM engine to match the ambition of the product.

## About the Role

This is a builder role and a manager role. You’ll spend your days in Salesforce, in Gong, and in Claude — designing systems and shipping them, not only running a team or maintaining a process someone else defined. Most of the infrastructure doesn’t exist yet. You’ll design it, build it, own it, and prove it works before anyone else has to adopt it. If you’re energized by a blank canvas and shipping real systems — and you’ve built one, ideally with AI in the loop — we want to talk. If you’ve only maintained a machine someone else built, this isn’t the fit.

## What You’ll Build

The forecast and deal engine A simplified, high-accuracy forecast off two sources only — Gong + Salesforce — on a MEDDICC-based commit/best-case structure with a +/-5% accuracy target and a weekly CRO cadence. The deal desk: pricing guardrails, discount authority, and quote governance — built to move fast without leaking margin. Territory and quota models: capacity planning, attainment tracking, and clean routing logic owned in Salesforce. GTM engineering & signal intelligence The signal layer: product usage and intent data routed into a scored queue for BDRs and AEs. GTM AI agents you architect and ship — research, sequencing, forecasting, and daily pipeline briefings — productionized, not prototyped. An ICP scoring model that sharpens itself as deal data compounds. The CRO’s operating system A live executive dashboard: pipeline coverage, conversion, ramp velocity, NRR, and forecast accuracy — self-serve, not a weekly manual pull. The systems and data hygiene that make every number above trustworthy. GTM execution Own cross-functional GTM projects end to end (pricing changes, launches, new-segment entry) with named owners and a clear definition of done on every line. Partner with Marketing to keep one pipeline definition and one source of truth — no parallel systems, no competing data.

## What You’ll Need

6+ years in RevOps, GTM engineering, or sales strategy at high-growth B2B SaaS/AI — ideally through the $20M–$100M ARR scaling phase. Hands-on builder. You’ve personally built forecasts, routing logic, deal-desk rules, dashboards, or GTM automations — not just directed a team that did. Deep, working fluency in Salesforce and Gong; strong analytical and systems-design instincts. A bias toward shipping and finishing: you scope tightly, deliver, and close the loop rather than leaving projects at 80%. Comfort building with AI tooling (Claude, agents, LLM-driven workflows) as a core part of the stack, not a novelty. Able to influence a tenured, change-resistant seller base by proving value first, then driving adoption.

## Nice to Have

CPQ / Salesforce architecture depth. Experience with outbound data infrastructure (enrichment, sequencing, intent). Enterprise sales motion and complex-deal support.

This is a zero-to-one, builder-first role. If you want to run a team, this isn’t it. If you want to build the system a great team will run on,

## About Level AI

## Company Overview
- **One-liner**: Level AI is a customer experience platform that scores every customer interaction, deploys AI voice agents, and turns conversations into actionable insights for enterprise contact centers.
- **Entity Type**: Private (Series C, $74.4M total funding)
- **Headquarters**: Mountain View, California, United States (with an office in New Delhi, India)
- **Founded**: 2018
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Customer Experience (CX) Platform / AI-Powered Contact Center Software
- **Target customers**: B2B, Enterprise (Fortune 500 healthcare, financial services, and retail environments)
- **Mission or purpose statement**: To help enterprise contact centers automate quality management, assist and coach agents, and understand the voice of the customer at 100% coverage.

## Products & Services
- **Quality Management**: Scores 100% of conversations across channels to standardize quality at scale.
- **AI Virtual Agents**: Deploys AI voice agents for triage to resolution, automating complex workflows.
- **Voice of the Customer**: Extracts insights from every interaction to inform product, operations, and strategy.
- **Assist**: Provides real-time AI or manager help to agents during calls.
- **Analytics 360**: Delivers customer and team intelligence dashboards.
- **Screen Recording**: Monitors agents in real time.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of $15M (LinkedIn estimate); Total Funding of $74.4M
- **Notable Investors/Partners**: Battery Ventures (led Series A & B), Eniac Ventures (led Seed), Adams Street Partners (led Series C). Customers include Wayfair, Smartsheet, Chime, Gusto, and SwissRe.
- **Growth Signals**: 162 employees (+8.8% YoY); processes 4 trillion tokens and analyzes 1 billion+ customer interactions per year; serves enterprises with a combined $500B in market cap; LinkedIn followers grew +40.1% in the last year.

## Competitive Advantages
- **Proprietary AI Architecture**: Uses seven task-specific models for customer experience that are up to 49x more cost-efficient, 4x faster, and with accuracy on par with frontier LLMs.
- **Unified Intelligence Layer**: Every function (QA, coaching, automation, analytics) learns from the same customer conversation data, creating a continuous improvement loop.
- **Enterprise-Grade Compliance**: ISO 27001, HIPAA, SOC2, PCI, and GDPR certified.
- **High Product Satisfaction**: 4.8/5.0 product rating (199 reviews).

## Strategic Focus
- **Deepening Enterprise Penetration**: Targeting high-volume, high-stakes customer operations in regulated industries (healthcare, financial services, retail).
- **AI Model Development**: Continuing to build and refine domain-specific models rather than relying on general-purpose LLM wrappers.
- **Global Expansion**: Growing engineering presence in India (Noida, Bangalore) while maintaining US headquarters.

## Why Work Here
- **Impact & Ownership**: Employees take on big projects single-handedly and make a direct impact. The company "ships fast and owns the outcome."
- **Cutting-Edge AI Work**: Engineers work on state-of-the-art NLP, speech, and machine learning problems at scale (4 trillion tokens processed per year).
- **Growth Culture**: Described as "learning and growing…fast," with a focus on hiring exceptional talent.
- **Remote/Hybrid Policy**: Some roles are listed as remote (e.g., Senior Backend Engineer - AI Agents), while others are on-site (Bay Area, California, or Noida/Bangalore, India).
- **Compensation & Culture**: Employer rating of 3.8/5.0 (98 reviews), with work-life balance at 3.5, compensation at 3.6, and culture at 3.5.
- **Open Roles**: Focus on senior engineering positions (ML, NLP, Backend, SRE) and finance.

## Sources
1. [thelevel.ai](https://thelevel.ai)
2. [thelevel.ai/careers](https://thelevel.ai/careers)
3. [thelevel.ai/about-us](https://thelevel.ai/about-us)
4. [linkedin.com/company/level-ai](https://www.linkedin.com/company/level-ai)
5. [jobs.lever.co/levelai](https://jobs.lever.co/levelai)

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