Revenue Operations Architect — GTM Systems Builder

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.

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.

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.

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.

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,