Revenue Operations Architect — GTM Systems Builder

3 weeks, 1 day ago
Full-time
Senior
Sales and Business Development
Level AI

Level AI

Level AI provides disruptive AI solutions for call centers, automating workflows and improving team performance with semantic intelligence and real-time insights.

IT Services
51-250
Founded 2018
$15M raised

Description

  • Design and maintain a simplified forecasting system using Gong and Salesforce with a MEDDICC-based commit/best-case structure.
  • Build and own deal desk processes, including pricing guardrails, discount authority, and quote governance.
  • Develop territory and quota models for capacity planning, attainment tracking, and routing logic in Salesforce.
  • Create and manage a signal layer that routes product usage and intent data into scored queues for BDRs and AEs.
  • Architect and ship GTM AI agents for research, sequencing, forecasting, and daily pipeline briefings.
  • Build an ICP scoring model that improves over time as deal data accumulates.
  • Create an executive dashboard covering pipeline coverage, conversion, ramp velocity, NRR, and forecast accuracy.
  • Own cross-functional GTM initiatives end to end, including pricing changes, launches, and new-segment entry.
  • Partner with Marketing to maintain a single pipeline definition and source of truth across teams.
  • Ensure data hygiene and system integrity so reporting and operational metrics remain trustworthy.

Requirements

  • 6+ years of experience in RevOps, GTM engineering, or sales strategy at high-growth B2B SaaS/AI companies.
  • Experience supporting the $20M–$100M ARR scaling phase is ideal.
  • Hands-on experience building forecasts, routing logic, deal-desk rules, dashboards, or GTM automations.
  • Deep working fluency in Salesforce and Gong.
  • Strong analytical skills and systems-design instincts.
  • Comfort building with AI tooling such as Claude, agents, and LLM-driven workflows as part of the core stack.
  • Bias toward shipping, finishing, and closing the loop on projects.
  • Ability to influence a tenured, change-resistant seller base by proving value first and then driving adoption.
  • CPQ and Salesforce architecture depth is preferred.
  • Experience with outbound data infrastructure, including enrichment, sequencing, and intent data, is preferred.
  • Experience supporting enterprise sales motions and complex deals is preferred.

Interested in this position?

Apply directly on the company website

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