Good one. We’re accounting for that in #6, unless you mean something different.
We’re hosting a session with Paul Wilson, who led GTM Operations at Salesforce, Slack, Adobe, Marketo, OneTrust, and is now the Head of GTM AI and Systems at Mural. Paul has spent his career building operations teams inside high-growth SaaS companies. He’s seen what works and what doesn’t when it comes to scaling revenue. In this conversation, we’ll talk with Paul about how AI is changing go-to-market operations. We’ll cover what teams need to shift in their approach, how to think about AI’s role in planning and execution, and where current tooling and data strategies fall short. We’ll also discuss what makes an operations team effective today and what that might look like a year from now. If you’re responsible for driving GTM outcomes and are thinking about how to adapt your systems and approach to the changes ahead, this is a conversation worth joining. Register Here: Thursday July 31, 2025 @ 12p-1p MST https://www.domestique.info/resources/upcoming-revops-masterclass-a-conversation-with-paul-wilson-on-ai-and-go-to-market-strategy
The rise of GTM Engineers and GTM Architects is reshaping how companies think about go-to-market execution...or maybe it’s just cooler titles for jobs a few of us have been doing for a while. I define Revenue Operations as the connective tissue across the entire customer journey all tied together through five work streams: Strategy, Process, Technology, Data, and Enablement. How do these new roles compare? GTM Engineer 🧑💻 Focus: Building automations and integrations 📈 Outputs: Data pipelines, dashboard reliability, CRM workflows 🚵♀️ Skills: SQL, APIs, tools like Segment, Salesforce, HubSpot 🤝 Reports to: RevOps GTM Architect 🧑💻 Focus: Designing GTM systems and processes 📈 Outputs: Tech and process architecture, tooling blueprint 🚵♀️ Skills: System design, process mapping, tool evaluation 🤝 Reports to: Cross-functional GTM or RevOps leadership Revenue Operations 🧑💻 Focus: Driving alignment, execution, and performance 📈 Outputs: Forecasts, attribution, GTM dashboards, enablement programs 🚵♀️ Skills: Strategic thinking, analysis, operational leadership 🤝 Reports to: Ideally the CEO to remain cross-functional In high-functioning orgs, these roles complement each other. 🔮 Architects design. 🛠️ Engineers build. 🔥 RevOps drives alignment and results. If you’re scaling GTM, make sure you know who’s doing what and that they’re not operating in silos.
I have a couple of clients with this setup. I can reach out to them and ask if they’d be willing to speak with you directly. If they aren’t able/willing, I’d be happy to share my experience as well. For what it’s worth, I haven’t seen many companies find too much success in the HubSpot:Outreach integration for a multitude of reasons, one of them being this sync issue you’re experiencing now.
One of the things we get asked all the time is how the heck to use AI in RevOps? There are a million and one tools out there, and it’s easy to get lost. So we put together a list of the top 20 Practical AI Use Cases in GTM, RevOps, and Marketing Ops. Hope you all find this useful! Top of Funnel
Intent Signal Aggregation & Activation – Surface and act on 3rd-party buying signals (e.g., Bombora, G2).
Data Enrichment & Prioritization – Automatically enrich leads/accounts and prioritize based on buying readiness.
Intelligent Lead & Account Scoring – Adaptive scoring models based on engagement and conversion history.
Audience Segmentation & Dynamic Cohorting – Create smart audience groups for more targeted campaigns.
Multi-Channel Campaign Optimization – Optimize spend and sequencing across paid, social, and email.
Personalized Content Generation at Scale – Auto-generate emails, landing pages, and ads for each persona.
Agentic Prospecting & Email Sequencing – Use AI agents to research and send tailored outbound sequences.
Mid-Funnel 8. Real-Time Call/Meeting Intelligence – Summarize calls, extract objections, sync data to CRM. 9. Playbook & Objection Handling Copilot – In-call assist for rebuttals, talk tracks, and battle cards. 10. Automated Account Research & Prep – Auto-compile account briefings for sales reps before meetings. 11. Sales Content Recommendation Engines – Suggest the right collateral at the right stage of the deal. Pipeline Management 12. Automated CRM Capture & Update – Auto-log meetings, notes, emails, and opportunity data. 13. Pipeline Risk & Forecasting Analysis – Spot deal risk and adjust forecasts based on behavior and sentiment. Full Funnel 14. Attribution & Funnel Analysis – Multi-touch attribution to track true campaign and channel impact. 15. RevOps Insights & Diagnostic Copilots – AI copilots that surface GTM inefficiencies and root causes. Post-Sale 16. Customer Health Scoring – Predict churn or upsell likelihood based on product and support signals. 17. CSM Email Drafting & Meeting Summaries – Write follow-ups and QBR summaries automatically. 18. Renewal & Expansion Opportunity Detection – Identify accounts ready for upsell or at risk of churn. 19. Proactive Support Ticket Triage – Categorize, prioritize, and auto-respond to support tickets. Enablement 20. AI-Powered Change Management & Training – Adaptive onboarding and contextual training for GTM teams.
I’ve been in Pavilion for years. Like all of these Slack communities, it’s very spammy. However, I’ve made several meaningful connections from there. I’ve gotten people jobs, I’ve hired people, and I’ve closed business from there. Overall, I recommend it. However, it does require you being active. Good luck
ZeroBounce is great.
