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Summary
An analysis of hiring patterns across 910 top accelerator startups reveals 480 open roles, median compensation of $170K, and engineering dominating at 57% of positions, with TypeScript as the leading skill.
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Cached at: 05/26/26, 02:47 AM
查看他们最新的数据发布: https://t.co/3ZmuV5DxZm
Drops — MTS
Source: https://drops.mts.now/jobs/ Hiring snapshot · accelerator startups
Early Stage Hiring Patterns
We took a look at 910 graduates of the top accelerator programs from the past year and tried to figure out what they’re hiring for, how much they’re paying, and what stands out the most!
480Open rolesacross 114 companies
$170KMedian compp25 $120K · p75 $205K
36%Disclose comp171 of 480 roles
35%Mention equityin JD or comp summary
57%Engineering shareof all open roles
The market shape480 roles
Engineering alone is 57% of every open role. Outside of engineering, no single function dominates: ops, design, product, sales, and marketing each sit between 4% and 6%.
Compensation171 disclosed
Median midpoint is $170K across all disclosed roles.
Salary midpoint by functionn ≥ 10 disclosed
Salary midpoint by seniority
Top base salary by functionp75 of disclosed comp
Equity offered by function% of roles mentioning equity
Age cohort348 dated
Of the 480 roles, 348 are at companies whose YC batch we have on file. Winter 2026 startups (~4 months old) post fewer roles per company than 16-month-old Winter 2025 startups, but pay a higher median. Small samples per batch, so read it as direction.
Batch
Companies
Open roles
Roles / co.
Median comp
Top skill
Companies pre-Winter 2025 are in the dataset but absent here, since we only have batch records back to W25. The full snapshot above covers every role we found.
Stack276 eng roles
TypeScript leads at 26% of engineering roles, with React (15%), Python (14%), and Go (11%) clustered behind it. Rust shows up in about 1 in 17 listings — present, but a smaller slice than the frontier-model-era hype might suggest.
Share of engineering roles requiring this skill as a must-have.
How they work112 remote · 113 onsite
Of the roles that explicitly state a policy, remote and onsite are essentially tied (23% remote, 24% onsite, 2% hybrid). 51% of listings don’t specify at all.
Other dimensions
Visa sponsorship offered
16
3% of all roles · 0 explicit no
Median experience required
4 years
p25 3y · p75 5y · p90 7y
Comp-disclosing roles
36%
Ashby ATS: 61% · Greenhouse: 0%
Skills, all functionstop 30
The full demand picture, ranked. Junk tokens like ‘ai’, ‘rest’, and ‘analytics’ are filtered out. These are actual must-have skills extracted from JD text.
Methodology
Cohort
910 accelerator startups: every YC batch from Winter 2025 onward (672), all six Speedrun cohorts from a16z (231), and AI Grant (7). Neo and broader Crunchbase/TechCrunch-funded startups are excluded so the dataset reflects genuinely early-stage hiring, not late-stage names.
Hiring discovery
Probed /careers, /jobs, and related paths on each company, then detected the ATS by URL/iframe pattern. Of 858 reachable accelerator companies, 596 (69%) had some kind of public hiring presence.
Listings (two passes)
Structured: Ashby, Greenhouse, Lever, Rippling public APIs. Homegrown careers HTML scraped + parsed by Haiku agents for everything else. End result:480roles across114companies.222additional companies had careers pages with no actual listings on them.
Extraction
Eight parallel Claude Haiku 4.5 agents read every job description and extracted comp, equity, skills, seniority, remote policy, and years of experience. Comp ranges from Ashby and Lever are pulled from their native structured fields when available.
Caveats
- **The companies missing from this page.**Of the 858 reachable accelerator companies, 262 (31%) have no /careers, no /jobs, and no public ATS, so they hire through their networks or not at all. Of the 596 who do have hiring infrastructure, only114list specific open roles; the rest just have a “we’re hiring” placeholder.
- **Comp disclosure correlates with ATS choice.**Companies on Ashby disclose comp 61% of the time. Companies on Greenhouse: 0%. That’s not because Greenhouse companies pay worse, it’s because Ashby ships a structured comp field and Greenhouse doesn’t.
- **Skill extraction is approximate.**The model decides what counts as a “skill”. We filter the worst offenders but the long tail of niche skills will undercount.
- **Snapshot, not trend.**Data was pulled on2026-05-22. It will go stale.
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