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Pave

Pave has 8 indexed roles weighted toward engineering across United States. Posting volume is steady (-86% week-over-week).

8
Indexed roles
-86%
14d momentum
1 recent vs 7 prior
#1
Industry rank
100% of 8 jobs · 1 peers
0.29
AI exposure (occupation)
Skill-weighted: 0.00
Hiring Trajectory
Posting volume over the last 2 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks.
2 4 6 8 2026-04-13: 7 postings 2026-04-20: 1 postings 2026-04-132026-04-20
stable Week-over-week: -86%
Functional Mix
Where the hiring is concentrated
Categories collapsed into 12 canonical buckets so cross-company comparisons stay coherent. Same map used on /live and /job-statistics.
Engineering
6
Sales
1
Marketing
1
Geographic Distribution
Where postings live, and where they're moving
Free-text jobs.location resolved into 12 region buckets. Emerging hubs flagged when last-30-days postings >50% above prior 30 days.
United States
5 (62.5%)
EU
3 (37.5%)
↗ United States: 5 postings in last 30d, up from 0 prior (+100%)
↗ EU: 3 postings in last 30d, up from 0 prior (+100%)
Seniority Distribution
Who exactly is being hired
Levels in postings, plus a separate read on executive-tier roles which are the leading indicator of strategic shifts.
Staff / Principal
1
Senior
2
Mid-level
5
1 VP/Director/Chief-level postings in the last 30 days (+100% vs prior 90d avg of 0)
Notable recent
Director of Account Management· San Francisco, CA & New York, NY 2026-04-18
Disproportionate Skills
What this company is over-indexed on vs industry peers
Location Quotient = (this company's % of postings with skill X) ÷ (peer industry's % of the same skill). Values above 1.0 mean over-indexed. Peer baseline excludes this company itself, so a dominant employer doesn't collapse to ~1.0. Skills with fewer than 3 occurrences here are excluded.

Not enough peer-company data in this industry yet to compute a Location Quotient.

Market Position
Direct hiring competitors
Peers are companies in the same industry, ranked by how much their job categories overlap with this one (Jaccard score on the top 5 normalised categories). Each peer's hiring momentum is shown from the same 14-day windows.

No peers yet — peer matching needs more companies tagged in this industry. The list will fill out as YubHub's coverage grows.

Strategic Themes
What this hiring is revealing

Coming soon.

Weekly LLM-synthesised brief — emerging capabilities, decaying capabilities, geographic shifts, seniority signals — drawn from the company's own posting tag distribution. Will populate once Phase 4 of the company-intelligence pipeline (OpenRouter long-context model) ships.

Latest
Most recent indexed postings
Staff Software Engineer - Data Platform
Krakow, Poland staff hybrid Engineering
Customer Success Engineer
Salt Lake City, UT mid hybrid Engineering
Director of Account Management
San Francisco, CA & New York, NY senior hybrid Sales
Customer Success Engineer
New York City, NY mid hybrid Engineering
Technical Recruiter
Krakow, Poland mid hybrid Engineering
AI Engineer - Paige
San Francisco, CA & New York, NY mid hybrid Engineering
Senior Software Engineer - Data Platform
Krakow, Poland senior hybrid Engineering
Demand Generation Manager
San Francisco, CA & New York, NY mid hybrid Marketing
Methodology & Sources
How this is computed

Last enriched: unknown.

Hiring aggregates run live against D1; cached at the edge for up to 24 hours. AI-exposure scores derive from O*NET 30.2 occupation taxonomy crossed with the Anthropic Economic Index 2026-03-24 release.

Caveats: salary parser uses 2024 FX snapshot rates; long-tail location strings may bucket as "Unknown"; Location Quotient excludes companies with fewer than 5 indexed roles to keep ratios stable. Salary disclosure under 20% triggers a warning on the salary chart.

Machine-readable equivalents: /companies/pave.json · /companies/pave.md · api.yubhub.co/stats/company/pave