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SpruceID

SpruceID has 7 indexed roles weighted toward engineering across United States.

7
Indexed roles
+0%
14d momentum
7 recent vs 0 prior
#1
Industry rank
100% of 7 jobs · 1 peers
0.29
AI exposure (occupation)
Skill-weighted: 0.29
Hiring Trajectory
Posting volume over the last 1 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks.

Insufficient time-series data — at least 2 weeks of enrichment history required.

stable
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
Operations
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
6 (85.7%)
Remote
1 (14.3%)
↗ United States: 6 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.
Executive
1
Senior
4
Mid-level
1
Entry-level
1
1 VP/Director/Chief-level postings in the last 30 days (+100% vs prior 90d avg of 0)
Notable recent
Chief of Staff · New York 2026-04-17
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 industry baseline data yet to compute Location Quotient. This populates once the daily company re-enrichment cron tags this company's industry_canonical.

Market Position
Direct hiring competitors
Peer set is restricted to the same industry_canonical bucket and ranked by category-overlap (Jaccard on top 5 normalised categories). Each peer's hiring momentum is read from the same 14d / prior-14d windows.

No peers identified yet — once industry_canonical is populated for more companies (daily cron), this list fills out.

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
Chief of Staff
New York executive hybrid Operations
Forward Deployed Mobile Engineer
US mid remote Engineering
Senior Forward Deployed Engineer
US senior remote Engineering
Principal Forward Deployed Engineer
US senior remote Engineering
Mobile Engineer
US senior remote Engineering
Full-Stack Software Engineer (New Grad) – Remote
Remote entry remote Engineering
Senior Full-Stack Engineer
United States senior remote Engineering
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/spruceid.json · /companies/spruceid.md · api.yubhub.co/stats/company/spruceid