The Web3 Hiring Report 2026

Engineering accounts for 34.7% of listings. Sales and business development account for 11.5%. The chart includes every category, including records that could not be classified.

Each listing is assigned one category using its department field first, then its title if the department does not match. A role can span several functions, so this is a text-based grouping rather than an employer-confirmed breakdown of responsibilities.

Vacancy counts do not measure the size of existing teams. They also cannot show whether an employer is expanding or replacing someone who left.

Python appears in 19.7% of descriptions and SQL in 13%. The chart also counts specific technologies and work-related phrases, including AWS, risk management, and anti-money laundering.

AI, machine-learning, or large-language-model terms appear in 48.8% of descriptions. A mention may come from a responsibility, a qualification, or the employer's company description. It does not establish that the role requires that skill.

A listing counts once for each matching term, however often that term appears. It can count in several rows. Common company text can appear in many listings, and ordinary uses of words such as “react” can match too. These are word counts, not a ranking of required skills.

Entry-level, junior, graduate, and internship terms appear in 3.7% of titles. Separate groups identify senior or lead titles and director or executive titles.

57.9% of titles contain none of the seniority terms used here. They are left unclassified by level. A title such as “Software Engineer” does not, by itself, establish whether a role is junior, mid-level, or senior.

Experience requirements may appear only in the description. Candidates should check those requirements rather than use this title classification to decide whether to apply.

32.1% of descriptions contain a general or role-experience request that can be assigned to one band under the rules used here. The most common matched band is 3–5 years, at 16.2% of all listings.

Ranges use their lower number: “3–5 years” is grouped under 3–5, and “5+ years” is grouped by its stated starting point of five. The groups do not set an upper limit on the experience an employer would accept.

Requests for experience with a named tool are recorded separately. For example, five years of software-engineering experience and two years using Python are two different requests.1.6% of listings contain a matched request tied to a named skill or tool.

Preferred qualifications and company-history statements are excluded from the year bands. Multiple different general or role-experience requests, and degree-dependent alternatives, stay in a separate category. An unmatched description may still state an experience requirement in another form.

4% of descriptions meet the salary rules below: 260 listings from 31 employers. The median of their range midpoints is $190,000 per year. This is a summary of advertised ranges in that subset, not the median salary paid across Web3.

A description must state a salary range and an annual pay period in the same paragraph. We accept explicit US-dollar wording, or dollar ranges attached to a US location without a conflicting currency marker. Hourly and monthly rates, single amounts, total-compensation ranges, and descriptions with multiple distinct qualifying ranges are excluded.

For each included listing, the midpoint is halfway between the stated minimum and maximum. The chart groups those midpoints, not individual salaries or accepted offers. Bonuses, equity, and tokens are not valued or added.

The largest contributors to this salary sample are DRW (23.5%); Polymarket (15.4%); Crypto.com (10.8%). The median therefore reflects which employers publish ranges that meet the extraction rules.

A description that does not meet these rules may still disclose pay in another format or currency. Download the salary sample to inspect each range and its original wording.

19.6% of location fields contain “remote.” In descriptions, “remote” or “work from home” appears in 25.2%, while “hybrid” appears in 9.9%.

These groups overlap. A description may discuss a remote team, a restricted work arrangement, or a role that is not remote. Word matches do not confirm eligibility to work from any country. Check the employer's location, office-attendance, and work-authorization requirements.

Location labels are shown as supplied. “New York” and “New York, NY” remain separate, and a multi-city label is counted once. This avoids assigning ambiguous listings to a country or treating “remote” as a geographic region.

0.7% of descriptions match explicit worldwide-remote wording without a matched location or time-zone condition. A further 3.2% match remote wording with a location or time-zone condition. Neither group is inferred from the word “remote” alone.

A short annual allowance to work abroad does not count as worldwide remote work. Preferred locations and location-specific salary disclosures also do not establish a work-location requirement. Hybrid matches refer to working arrangements or scheduled office attendance, rather than a mix of job responsibilities or technologies.

91.2% of descriptions have no clear arrangement matched by these rules. Policies that vary by role or location, or contain conflicting wording, are listed separately. The download includes the matched sentences so readers can check the wording and any conditions in the full listing.

The ten employers shown account for 39.7% of listings in the snapshot. Each listing has equal weight, so employers advertising many roles have more influence on the report's skill and function percentages.

Employer names are counted as supplied by the job catalog. Subsidiaries and related companies are not consolidated. Separate source listings may advertise similar roles or the same role in different locations.

These numbers do not establish which companies are growing fastest. That would require comparable snapshots over time and information about hires and departures.