New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →

Reddit

Reddit has 76 indexed roles weighted toward engineering across Remote. Posting volume is steady (-67% week-over-week).

76
Indexed roles
+0%
14d momentum
76 recent vs 0 prior
#1
Industry rank
100% of 76 jobs · 1 peers
0.28
AI exposure (occupation)
Skill-weighted: 0.39
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. Median time from first sighting to closure: 10 days.
16 33 49 66 2026-04-13: 57 postings 2026-04-20: 19 postings 2026-04-132026-04-20
stable Week-over-week: -67%
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
37
Sales
28
Marketing
3
Hr
3
Finance
3
Legal
1
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.
Remote
35 (46.1%)
United States
33 (43.4%)
EU
4 (5.3%)
United Kingdom
3 (3.9%)
Australia/NZ
1 (1.3%)
↗ Remote: 35 postings in last 30d, up from 0 prior (+100%)
↗ United States: 33 postings in last 30d, up from 0 prior (+100%)
↗ EU: 4 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
Staff / Principal
13
Senior
52
Mid-level
10
2 VP/Director/Chief-level postings in the last 30 days (+100% vs prior 90d avg of 0)
Notable recent
Director, Mid-Market Sales (B2B Services)· New York City, NY 2026-04-18
Senior Director, Global Strategic Accounts· Los Angeles, CA 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 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.
$240K $260K $280K $300K All regions Company: $260,450 (n=18) Remote Company: $276,000 (n=11) United States Company: $260,450 (n=7)
Reddit 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
Staff Machine Learning Engineer, Ads Content Understanding
Remote - United States staff remote Engineering
Staff Engineer, Ads Trust, Fraud and Safety
Remote - British Columbia, Canada staff remote Engineering
Staff Engineer - Ads Trust, Fraud and Safety
Remote - United States staff remote Engineering
Senior Staff Software Engineer, Indexing & Retrieval Platform
Remote - United States senior remote Engineering
Staff Android Engineer (Clients Platform)
San Francisco, CA staff onsite Engineering
Staff Android Engineer, Brand Ad Formats
Remote - United States staff remote Engineering
Senior Staff ML Engineer, Search & Recommendation
Remote - United States senior remote Engineering
Staff Android Engineer, Brand Ad Formats
New York City, NY staff 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/reddit.json · /companies/reddit.md · api.yubhub.co/stats/company/reddit