Revenue Operations Architect - GTM Systems Builder

Level AI

$120K — $150K *
US-AnywhereRemote in United States
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in Revenue Operations, GTM engineering, or sales strategy in high-growth B2B SaaS/AI realms
  • Proven experience in building forecasts, deal-desk rules, dashboards, or GTM automations
  • Strong analytical skills and systems design capabilities
  • Expert knowledge in Salesforce and Gong
  • Ability to encourage adoption among experienced, change-resistant sales teams with demonstrated value delivery
  • Experience with AI tools within operational processes

Responsibilities

  • Design and build accurate forecasting systems based on Gong and Salesforce data
  • Create deal desk structures to facilitate rapid transactions while protecting margins
  • Develop comprehensive territory and quota models for performance tracking
  • Architect and deploy GTM AI agents for research and pipeline management
  • Establish a self-service dashboard for real-time executive oversight of key metrics
  • Oversee cross-functional GTM initiatives, ensuring clarity and ownership at all levels
  • Collaborate with Marketing to unify pipeline definitions and maintain data integrity

Benefits

  • Flexible remote work arrangement
  • Opportunities for professional development and growth
  • Engagement with cutting-edge AI tooling and technologies
  • Dynamic and innovative company culture
  • Autonomy and ownership of influential projects
Full Job Description
Level AI • Remote (US) • Reports to the CRO
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,

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