lead scoring jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, lead scoring appears in 190 job postings indexed by Skillenai over the past 90 days — GTM Engineer has the most postings mentioning lead scoring.
Last updated · 90d ending 2026-10-30
Which roles want lead scoring?
Upload your resume and Skillenai will show which roles your lead scoring experience fits, which skills you already cover, and what is missing.
Frequently asked questions about lead scoring
+Is lead scoring in demand in 2026?
Yes. lead scoring appears in 190 job postings indexed by Skillenai over the 90 days ending 2026-10-30. GTM Engineer accounts for the most postings mentioning lead scoring (11.1% of all postings mentioning lead scoring).
+What jobs require lead scoring?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning lead scoring are Marketing Operations Manager (51.4% of that role’s postings mention lead scoring), Growth Marketer (13.9% of that role’s postings mention lead scoring), GTM Engineer (11.5% of that role’s postings mention lead scoring).
+What skills are commonly paired with lead scoring?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), lead scoring most often appears alongside Salesforce, SQL, marketing automation, Python, HubSpot.
+Where is lead scoring most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring lead scoring are San Francisco, Toronto, New York City, London, Madrid, according to the Skillenai jobs index.
+How can I keep up with new lead scoring content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning lead scoring alongside the jobs index. You can subscribe to a daily email digest of new lead scoring content from your Skillenai account.
+Which skills come before and after lead scoring?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring lead scoring — last 90 days
Career paths around lead scoring
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before lead scoring
Skills after lead scoring
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: statistical sampling | 1 |
| Before: VLOOKUPs | 1 |
| Before: credit assessment | 1 |
| Before: best practices | 1 |
| Before: python | 1 |
| Before: Learning Management System (LMS) | 1 |
| Before: operator dashboards | 1 |
| Before: project plans | 1 |
| After: Data analytics | 2 |
| After: A/B testing framework | 1 |
| After: optimization | 1 |
| After: CNN (Convolutional Neural Network) | 1 |
| After: predictive analytics | 1 |
| After: time series data | 1 |
| After: automation | 1 |
| After: Precision targeting | 1 |
Roles most likely to require lead scoring
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Marketing Operations Manager | 19 | 51.4% |
| Growth Marketer | 5 | 13.9% |
| GTM Engineer | 21 | 11.5% |
| Marketing Analytics Director | 3 | 11.5% |
| Developer Relations Engineer | 3 | 7.5% |
| Marketing Analytics Manager | 5 | 7.5% |
| Business Systems Engineer | 3 | 6.8% |
| Marketing Data Analyst | 3 | 4.8% |
| AI Operations Manager | 1 | 4.3% |
| Analytics Director | 2 | 1.9% |
Roles with the most lead scoring postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| GTM Engineer | 21 | 11.1% |
| Marketing Operations Manager | 19 | 10.0% |
| Product Manager | 18 | 9.5% |
| Data Scientist | 11 | 5.8% |
| AI Growth Automation Engineer | 5 | 2.6% |
| Growth Marketer | 5 | 2.6% |
| Marketing Analytics Manager | 5 | 2.6% |
| Marketing Automation Architect | 4 | 2.1% |
| Marketing Operations Program Manager | 4 | 2.1% |
| Business Analyst | 3 | 1.6% |
Top companies posting jobs requiring lead scoring
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Doctolib | 8 |
| Clara | 5 |
| PointClickCare | 4 |
| Stripe | 4 |
| Ebury | 4 |
| Klaviyo | 4 |
| Gitlab | 4 |
| Cohere | 3 |
| CLERA | 3 |
| MintMCP | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for lead scoring
| Name | Postings | Share |
|---|---|---|
| San Francisco | 17 | 8.9% |
| Toronto | 10 | 5.3% |
| New York City | 9 | 4.7% |
| London | 5 | 2.6% |
| Madrid | 5 | 2.6% |
| Nantes | 4 | 2.1% |
| Paris | 4 | 2.1% |
| Austin | 3 | 1.6% |
| Bengaluru | 3 | 1.6% |
Skills commonly paired with lead scoring
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning lead scoring by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s lead scoring postings by all lead scoring postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- c4e3c3ec27fd8b8e
- data_as_of
- 2026-10-30
- window_days
- 90