GTM and RevOps tool trends
· Last 30 days: 16 Oct 2026 to 15 Nov 2026 · 263 jobs · updated every day
Salesforce is the most requested tool in GTM engineering and RevOps jobs, named in 49.8% of the 201 jobs that list tools in the last 30 days, ahead of HubSpot and Clay. AI agents gained the most (+4.9 pts against the 30 days before).
Ranking by share of jobs
Click a tool for its own trend page. Change is in percentage points against the 30 days before.
- 1Salesforce49.8%100 jobs▼ -12.4 pts
- 2HubSpot35.8%72 jobs▲ +4 pts
- 3Clay22.4%45 jobs▼ -15.5 pts
- 4SQL20.4%41 jobs▼ -17.5 pts
- 5N8n18.4%37 jobs▲ +1.7 pts
- 6Claude16.4%33 jobs▼ -13.9 pts
- 7Python14.4%29 jobs▼ -5.3 pts
- 8Gong10.4%21 jobs▼ -6.2 pts
- 9AI agents9.5%19 jobs▲ +4.9 pts
- 10Apollo9.5%19 jobs▼ -4.2 pts
- 11Zapier9.5%19 jobs▼ -5.7 pts
- 12JavaScript7%14 jobs▼ -9.7 pts
- 13Make6.5%13 jobs▲ +0.4 pts
- 14Looker5%10 jobs▼ -4.1 pts
- 15Zoominfo5%10 jobs▼ -5.6 pts
- 16Outreach4.5%9 jobs▼ -1.6 pts
- 17OpenAI4%8 jobs▼ -3.6 pts
- 18Instantly3.5%7 jobs▲ +0.5 pts
- 19LeanData3.5%7 jobs▼ -1.1 pts
- 20Workato3.5%7 jobs▼ -1.1 pts
Full table
| Tool | Jobs | Share of jobs | Previous 30 days | Change |
|---|---|---|---|---|
| Salesforce | 100 | 49.8% | 62.1% | -12.4 pts |
| HubSpot | 72 | 35.8% | 31.8% | +4 pts |
| Clay | 45 | 22.4% | 37.9% | -15.5 pts |
| SQL | 41 | 20.4% | 37.9% | -17.5 pts |
| N8n | 37 | 18.4% | 16.7% | +1.7 pts |
| Claude | 33 | 16.4% | 30.3% | -13.9 pts |
| Python | 29 | 14.4% | 19.7% | -5.3 pts |
| Gong | 21 | 10.4% | 16.7% | -6.2 pts |
| AI agents | 19 | 9.5% | 4.5% | +4.9 pts |
| Apollo | 19 | 9.5% | 13.6% | -4.2 pts |
| Zapier | 19 | 9.5% | 15.2% | -5.7 pts |
| JavaScript | 14 | 7% | 16.7% | -9.7 pts |
| Make | 13 | 6.5% | 6.1% | +0.4 pts |
| Looker | 10 | 5% | 9.1% | -4.1 pts |
| Zoominfo | 10 | 5% | 10.6% | -5.6 pts |
| Outreach | 9 | 4.5% | 6.1% | -1.6 pts |
| OpenAI | 8 | 4% | 7.6% | -3.6 pts |
| Instantly | 7 | 3.5% | 3% | +0.5 pts |
| LeanData | 7 | 3.5% | 4.5% | -1.1 pts |
| Workato | 7 | 3.5% | 4.5% | -1.1 pts |
| BigQuery | 6 | 3% | 4.5% | -1.6 pts |
| Marketo | 6 | 3% | 3% | -0 pts |
| REST APIs | 6 | 3% | 1.5% | +1.5 pts |
| Stripe | 6 | 3% | 1.5% | +1.5 pts |
| 6sense | 5 | 2.5% | 3% | -0.5 pts |
| Codex | 5 | 2.5% | 7.6% | -5.1 pts |
| Excel | 5 | 2.5% | 7.6% | -5.1 pts |
| Google Sheets | 5 | 2.5% | 7.6% | -5.1 pts |
| LinkedIn Sales Navigator | 5 | 2.5% | 1.5% | +1 pts |
| Salesloft | 5 | 2.5% | 3% | -0.5 pts |
| Smartlead | 5 | 2.5% | 1.5% | +1 pts |
| Snowflake | 5 | 2.5% | 10.6% | -8.1 pts |
| Databricks | 4 | 2% | 3% | -1 pts |
| Microsoft Power BI | 4 | 2% | 1.5% | +0.5 pts |
| React | 4 | 2% | 1.5% | +0.5 pts |
| Clari | 3 | 1.5% | 1.5% | -0 pts |
| Clearbit | 3 | 1.5% | 3% | -1.5 pts |
| CPQ | 3 | 1.5% | 4.5% | -3.1 pts |
| CRM | 3 | 1.5% | 3% | -1.5 pts |
| Dbt | 3 | 1.5% | 4.5% | -3.1 pts |
Tools asked together
| Pair | Jobs |
|---|---|
| HubSpot + Salesforce | 30 |
| Clay + HubSpot | 29 |
| HubSpot + n8n | 23 |
| Clay + Salesforce | 22 |
| Python + SQL | 21 |
| Clay + n8n | 18 |
| Claude + Salesforce | 18 |
| HubSpot + SQL | 18 |
Questions
- Which tool do GTM jobs ask for most?
- Salesforce, named in 49.8% of 263 jobs in the last 30 days.
- Which tool is rising fastest?
- AI agents, up +4.9 pts against the 30 days before.
- Which tool is falling?
- SQL, down +17.5 pts against the 30 days before.
Cite this data
Free to quote in articles, newsletters, posts and reports. Please link back to this page. Copy and paste:
<a href="https://gtmdaily.com/trends/tools">GTM and RevOps tool trends, last 30 days (GTM Daily, 15 Nov 2026)</a>
Source: GTM Daily, "GTM and RevOps tool trends", https://gtmdaily.com/trends/tools, accessed 15 Nov 2026.
How this is counted
Every number comes from the GTM, RevOps and growth jobs listed on GTM Daily. A job counts if it went live on GTM Daily in the last 30 days; the comparison is the 30 days before that. Shares are the percent of those jobs that mention the item. Tools are read from the job text, so a job can count for several, and tool shares use only jobs that list at least one tool. A change is shown only when the earlier 30 days has enough jobs to compare. Pay uses only USD yearly ranges, using the middle of each range. A missing detail is left out, never guessed. The page rebuilds from the jobs database every day, so the dates above move on their own. Data: CSV · JSON.