**GTM tech stack architecture. **HubSpot at the core, plus Clay, Apollo, ZoomInfo, Gong, ABM platforms, dialers, and the emerging AI tooling landscape. Evaluate, integrate, govern.
**Revenue forecast. **Build and run the weekly, monthly, quarterly forecast the CRO and Board rely on — methodology, data quality, accuracy tracking.
**Pipeline generation and velocity. **Design and drive the drumbeats — inbound, outbound, ABM, events — that keep pipeline coverage ahead of plan.
**Sales methodology and best practices. **Own the playbook — qualification, stages, exit criteria, handoffs — and embed it in the stack so it’s lived, not slideware.
**Enablement and training. **Design best-in-class onboarding and ongoing training: methodology, product, discovery, negotiation, AI-tooling fluency.
**AI-enabled GTM architecture. **Rebuild the engine with AI agents and automation at the core — scoring, routing, enrichment, research, drafting, forecasting, coaching.
CRO initiatives and Board comms. Run strategic projects alongside the CRO; prepare the revenue readouts that go in front of the Board.
Requirements
4–8 years in Revenue Operations, GTM Ops, or Sales Ops at a fast-growing B2B SaaS.
Operator-level fluency with HubSpot and the modern GTM stack (Clay, Apollo, ZoomInfo, Gong, ABM, sequencers).
AI-native. Claude Code, Claude Projects, and modern AI tools are your daily working environment — you build agents and automations, not just use them.
Strong grip on sales cadences, pipeline motions, and forecast methodology. You can read a pipeline and know what’s real.
Credible with reps and with the Board. You speak both languages.
Ambitious, curious, allergic to “the way we’ve always done it.” English fluent; German or Spanish a plus.****
Tech Stack
Apollo
Benefits
A forecast the CRO trusts and the Board accepts — documented methodology, accuracy tracking, no surprises.
The GTM stack consolidated, instrumented, and governed — tool map, data model, ownership matrix, all visible.**
Sales methodology shipped and lived — playbook, stages, exit criteria, qualification embedded in the stack.**
A first wave of AI-enabled GTM workflows in production and measurably moving the number.****