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Firecrawl

Firecrawl has 16 indexed roles weighted toward engineering across United States. Posting volume is steady (+600% week-over-week).

16
Indexed roles
+0%
14d momentum
14 recent vs 0 prior
#1
Industry rank
100% of 16 jobs · 1 peers
0.21
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.
4 8 12 16 2026-03-02: 2 postings 2026-04-20: 14 postings 2026-03-022026-04-20
stable Week-over-week: +600%
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
13
Operations
2
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
15 (93.8%)
Remote
1 (6.3%)
↗ United States: 13 postings in last 30d, up from 2 prior (+550%)
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
10
Mid-level
5
3 VP/Director/Chief-level postings in the last 30 days (+100% vs prior 90d avg of 0)
Notable recent
Executive Assistant to the CEO· San Francisco, CA (Hybrid) 2026-04-24
Technical Head of Brand· San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) 2026-04-24
Technical Head of Marketing· San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) 2026-04-24
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.

Salary Positioning
Pay vs the industry baseline (USD midpoint)
Midpoint of salary_min/salary_max converted to USD via simple 2024-snapshot FX. Values outside $10k–$1M filtered as parser noise.
$170K $180K $190K $200K $210K All regions Company: $192,500 (n=14) United States Company: $195,000 (n=13)
Firecrawl Industry baseline
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
Forward Deployed Engineer (Integrations)
San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) senior remote Engineering
Technical BDR
San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) mid remote Engineering
Growth Operations Lead
San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) mid remote Operations
Product Researcher
San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) senior remote Engineering
Dev Rel (Docs & YouTube)
San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) mid remote Engineering
Executive Assistant to the CEO
San Francisco, CA (Hybrid) executive hybrid Operations
Product Growth Engineer
Remote (Americas, UTC-3 to UTC-10) senior remote Engineering
Design Engineer
San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) mid remote Engineering
Methodology & Sources
How this is computed

Last enriched: 2026-03-20.

Company-data sources: github, news

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/firecrawl.json · /companies/firecrawl.md · api.yubhub.co/stats/company/firecrawl