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Revenue Operations Architect — GTM Systems Builder at Level AI. Location Information: . 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,