RevOps & GTM Systems Lead
# RevOps & GTM Systems Lead **Allied Revenue** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### About the Role - 3+ years of hands-on experience in RevOps, GTM operations, sales operations, marketing operations, or a closely related role. - Experience supporting more than one B2B client, campaign, or technology stack. - Strong HubSpot experience plus at least two related systems such as Clay, Instantly, Salesforce, Apollo, ZoomInfo, Zapier, Make, n8n, Airtable, or similar tools. - Working knowledge of CRM structure, enrichment, outbound execution, automation, sales handoffs, deliverability, and reporting. - Real experience using ChatGPT, Claude, or another LLM in business workflows—not just occasional prompting. - Comfortable with structured outputs, validation, privacy, failure handling, and human review. - Comfortable with APIs, webhooks, JSON, imports and exports, and field mapping. You do not need to be a full-time developer. - Strong spoken and written English and experience working with US B2B teams or clients. - At least five working hours overlapping 9:00 a.m.–5:00 p.m. US Mountain Time. - Exacting and thorough: you check assumptions, test edge cases, and verify downstream results. This is probably not the right role if most of your experience is limited to one platform or if you prefer strategy and coordination over hands-on execution. You will own the day-to-day RevOps and GTM execution across several client engagements. - Build and maintain CRM properties, workflows, lists, enrichment, sequences, routing, handoffs, tracking, and integrations. - Work directly in HubSpot, Clay, Instantly, spreadsheets, AI tools, and related platforms. - Monitor counts, mappings, lifecycle stages, duplicates, sync failures, attribution, and deliverability. When something is wrong, trace it to the source and verify the fix. - Turn approved GTM plans into practical workflows, timelines, and quality checks. - Keep sales reps equipped with accurate data, useful playbooks, and clean handoffs. - Maintain reporting on activity, meetings, pipeline, conversion, and campaign health. - Keep playbooks, process notes, and change records current. - Build and improve LLM workflows for research, enrichment, personalization, analysis, and documentation. Test structured outputs, edge cases, fallback paths, privacy, and human-review steps. We care less about whether a tool says it ran than whether the result is right. You should verify work in the destination system, reconcile counts, and document important changes. In the first 30 days, you will learn our active programs, document their current state, identify risks, and take over recurring work. By 60 days, you should be independently running day-to-day execution across clients and catching problems before they reach the client. Helpful but not required: experience with deliverability tools, data enrichment providers, reusable AI-assisted processes, evaluations, quality-control systems, or light scripting.
Наблюдалась 2026-09-25, впервые 2026-09-25, источник — Get on Board (LATAM).