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Astranis

Aerospace & Defence San Francisco website ↗

Astranis has 101 indexed roles weighted toward engineering across United States. Posting volume is accelerating (+400% week-over-week).

101
Indexed roles
+140%
14d momentum
24 recent vs 10 prior
#1
Industry rank
100% of 101 jobs · 1 peers
0.17
AI exposure (occupation)
Skill-weighted: 0.33
Hiring Trajectory
Posting volume over the last 17 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks. Median time from first sighting to closure: 54 days (industry: 54).
9 18 27 36 2026-04-20: 31 postings 2026-05-18: 1 postings 2026-06-08: 1 postings 2026-06-15: 5 postings 2026-06-22: 2 postings 2026-06-29: 2 postings 2026-07-06: 6 postings 2026-07-13: 2 postings 2026-07-20: 1 postings 2026-07-27: 3 postings 2026-08-03: 1 postings 2026-08-10: 11 postings 2026-08-17: 1 postings 2026-08-24: 6 postings 2026-08-31: 4 postings 2026-09-07: 4 postings 2026-09-14: 20 postings 2026-04-202026-07-202026-09-14
accelerating Week-over-week: +400% Long-open postings (>90d): 39
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
76
Manufacturing
11
Hr
4
Operations
3
Sales
2
Legal
2
Finance
2
Design
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
101 (100%)
↗ United States: 34 postings in last 30d, up from 17 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
2
Senior
43
Mid-level
24
Entry-level
30
2 VP/Director/Chief-level postings in the last 30 days (+100% vs prior 90d avg of 0)
Notable recent
Sales Director - Central Asia and Europe· San Francisco 2026-09-09
Sales Director - International Goverment· San Francisco 2026-08-25
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.

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.
$150K $160K $170K $180K All regions Industry: $170,000 Company: $170,000 (n=65) United States Company: $170,000 (n=65)
Astranis Industry baseline Astranis sits at the 49th percentile of industry pay
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
San Francisco entry onsite Manufacturing
San Francisco entry onsite Manufacturing
San Francisco entry Finance
San Francisco entry onsite Engineering
San Francisco entry onsite Engineering
San Francisco mid onsite Engineering
San Francisco entry Manufacturing
San Francisco entry Manufacturing
Methodology & Sources
How this is computed

Last enriched: 2026-05-03.

Company-data sources: wikidata, news, hackernews

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