RevOps and GTM Engineering for B2B SaaS
AI-first RevOps for B2B SaaS. PLG-to-sales pipeline architecture, PQL scoring, expansion attribution, and NRR dashboards in HubSpot or Salesforce.
Different problem set, different system
PLG vs sales-led tension defines modern SaaS. ARR is the headline metric, but freemium-to-paid funnels distort lead volume, expansion drives most NRR, and product usage data lives outside the CRM. The revenue ops job is to keep all of it coherent.
The five things that break first
- Pipeline-to-ARR forecasting accuracy across PLG and sales-led motions
- Product-qualified-lead handoff to sales without losing context
- Expansion vs new-business attribution that survives a board meeting
- Usage data fragmented from CRM, killing scoring and routing
- AE quota planning when product-led signups distort lead volume
Where we plug in
We architect HubSpot or Salesforce for hybrid PLG and sales-led motions, build product-usage-to-CRM pipelines (Segment, Mixpanel, Amplitude), implement AI-powered MQL/PQL scoring, design expansion playbooks, and ship NRR dashboards that tie usage to revenue.
What working with us looks like
8 to 12 weeks rebuilding pipeline taxonomy from PLG signals through to enterprise opportunity, with quota and forecasting models that reconcile both motions.
Tools we work with
Ready to fix b2b saas revenue ops?
Free 30-minute discovery call. No pitch. We will tell you whether this is worth fixing.