Research · · 6 mins

10 Enterprise Software Companies to Check for H-1B Sponsorship (2026)

Salesforce, Oracle, ServiceNow, Workday and six more employers: a data-backed shortlist for your H-1B job search, using 1,326 archived U.S. technical postings and separate employer-history checks.

For an H-1B job search in enterprise software, investigate the employing company and the specific requisition together. This report compares a curated shortlist of Oracle, ServiceNow, Databricks, Intuit, Salesforce, Snowflake, Adobe, Workday, Atlassian and Autodesk. It is a research starting point, not a list of employers promising sponsorship for every opening.

Across these ten company records, Openbound found 1,326 distinct U.S.-eligible software and data-family postings in archived production cohorts captured on October 08, 2026 (UTC). 1,317 / 1,326 (99.3%) carried Highly likely or Likely classifications at extraction. The postings were active then; these are not fresh all-role counts at publication.

The shortlist is editorially selected, not the ten largest sponsors, a representative industry sample or a ranking of candidate success. We show employer-history coverage separately because a favorable posting signal and a verified historical record are different evidence tests. Current company pages are the next step for live openings.

Which enterprise software companies should you investigate?

In descending observed technical-posting count, the selected employers are Oracle (572), ServiceNow (143), Databricks (119), Intuit (118), Salesforce (104), Snowflake (73), Adobe (69), Workday (59), Atlassian (55), Autodesk (14). These counts cover the software/data title families in the archived editions, not the full company vacancy total. Ties would be broken by stored company slug.

The chart shows current-at-extraction inventory for this chosen set. It is useful for deciding where to start researching relevant technical roles; it does not tell you where an applicant is most likely to receive sponsorship. A small observed cohort can reflect source coverage and taxonomy as well as hiring volume.

Use the linked employer names in the data table to inspect current evidence and source jobs. Snowflake and Databricks are grouped by their exact stored company records, rather than merging every source or subsidiary sharing the brand.

Observed technical postings across ten employers

Archived technical postings · postings

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Archived software/data-family postings, one distinct posting per row; ordered by observed count, not LCA volume or applicant success.
Show as table
Observed technical postings across ten employers — underlying data
EmployerArchived technical postingsHighly likely + LikelyShare within employer
Oracle57257099.7%
ServiceNow143143100.0%
Databricks119119100.0%
Intuit11811294.9%
Salesforce10410399.0%
Snowflake7373100.0%
Adobe6969100.0%
Workday5959100.0%
Atlassian5555100.0%
Autodesk1414100.0%

Sponsorship signals and filing history answer different questions

Of 1,326 selected postings, Highly likely: 894 (67.4%); Likely: 423 (31.9%); Possible: 0 (0.0%); Unclear: 6 (0.5%); Unlikely: 3 (0.2%). These labels are persisted classifications from the original dated editions. They are not observed hires, employer promises or visa decisions.

The separate verified-history test is met by 740 / 1,326 postings (55.8%). It requires verified employer identity, mapped LCA or USCIS history, and positive recent filing or approval evidence. The full product classification can use other evidence, so the two measures need not agree.

Oracle and Autodesk have favorable posting signals in these inputs but no postings with this narrower verified-history flag. That is an evidence-coverage difference in the archived dataset, not a claim that either company has never sponsored. Inspect the current employer profile before forming a policy conclusion.

Sponsorship signals in the selected cohort

Archived technical postings · postings

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Full denominator 1,326 archived selected-company postings; the editorial selection makes this unsuitable as an industry-wide rate.
Show as table
Sponsorship signals in the selected cohort — underlying data
Archived classificationPostingsShare
Highly likely89467.4%
Likely42331.9%
Possible00.0%
Unclear60.5%
Unlikely30.2%

Compare each employer’s evidence before choosing a shortlist

The chart below measures the archived verified-history flag within each employer’s observed cohort. A zero is a missing qualifying flag under this test; it is not a no-sponsorship verdict. A full bar likewise establishes neither a blanket current policy nor a personal guarantee.

For Intuit, 112 / 118 postings had favorable signals, while 6 were Unclear. A company-level history record does not remove requisition-level uncertainty.

Compare three things for a target role: the original posting’s authorization language, attributable history for the employing entity, and the recruiter’s answer for your situation. Strong evidence in one column should not silently fill a missing answer in another.

Verified-history coverage by employer

Verified-history postings · postings

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Count shows postings meeting the archived history test; Share uses each employer’s own observed cohort. Zero means the test was not met, not that no sponsorship exists.
Show as table
Verified-history coverage by employer — underlying data
EmployerObserved postingsVerified-history postings
Oracle5720
ServiceNow143143
Databricks119119
Intuit118118
Salesforce104104
Snowflake7373
Adobe6969
Workday5959
Atlassian5555
Autodesk140

Where does Salesforce fit in this company comparison?

Salesforce contributes 104 archived software/data-family postings. 103 / 104 (99.0%) had Highly likely or Likely signals; 1 was Unlikely. All 104 met the archived verified-history test. This is one employer’s technical subset, not all Salesforce careers.

Salesforce is worth investigating alongside other enterprise software businesses rather than treating one familiar brand as the entire market. The evidence supports a role-specific research process; this dataset does not identify the best company for a particular candidate.

A “Salesforce developer” job at a customer, consulting partner or staffing firm belongs to that firm. Identify the employer in the posting and evaluate its own evidence. Salesforce skills and employment at Salesforce are different search intentions.

Can you use remote jobs to widen the company shortlist?

The selected cohort’s stored workplace categories are Unspecified: 1,139 / 1,326 (85.9%); Remote: 128 / 1,326 (9.7%); Hybrid: 57 / 1,326 (4.3%); On-site: 2 / 1,326 (0.2%). Unspecified remains visible rather than being converted into on-site.

Remote is a workplace arrangement, not a sponsorship commitment or permission to work anywhere. Check the permitted U.S. states, actual worksite, employing entity and authorization requirements. Multi-location postings still count only once in this report.

We do not compare salaries or claim a remote sponsorship advantage. Source coverage and role mix differ across the ten companies; this analysis does not control for those differences or measure candidate outcomes.

Workplace arrangements in the selected cohort

Archived technical postings · postings

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Denominator 1,326 archived postings. Stored workplace type with remote-flag fallback; unspecified is not assumed on-site.
Show as table
Workplace arrangements in the selected cohort — underlying data
WorkplacePostingsShare
Unspecified113985.9%
Remote1289.7%
Hybrid574.3%
On-site20.2%

Questions to resolve before applying to a sponsor company

Does appearing on a sponsor list mean every opening offers H-1B support? No. Past employer records and a current requisition answer different questions. An explicit restriction in the posting matters even when historical evidence is strong.

Does an LCA mean an approved H-1B visa or a new hire? No. DOL’s glossary distinguishes LCA certification from the USCIS petition determination. Filing records, approvals and people hired are different units.

What about H-1B transfers, OPT or green cards? This dataset does not establish those role-specific policies. Ask the employer about the pathway relevant to your circumstances; H-1B history does not establish STEM OPT support, E-Verify participation or a green card commitment.

Ask recruiting: “For this requisition, employing entity, worksite and start date, do you consider candidates who need H-1B support in my situation, and what support is available?” Keep the requisition ID with the answer.

What to do with these findings

Build a shortlist across several employers whose products and roles match your skills. Use observed inventory to decide where to research first, then visit the company profiles for current openings.

Record the employing entity, requisition ID, source posting, worksite and date checked. Confirm immigration support for that role before investing in a long interview loop.

Treat Highly likely/Likely as prioritization signals, Unclear as a question to resolve, and an explicit restriction as a restriction. Do not translate either a history flag or a percentage into personal success odds.

Sources & research notes

Sources

About this analysis

Original data through October 08, 2026. Later supplements retain the separate dates and scopes stated alongside their findings.

The original analysis covers 1,326 observed posting records in the role or employer group described in this report. Each posting is counted once within that cohort. Subgroup percentages use that subgroup’s posting count; favorable signals mean Highly likely or Likely.

How Openbound measures jobs and sponsorship signals →

Key limitations

  • This archived analysis is not a fresh extraction or a census of the U.S. job market. Historical postings may have closed, and employer records may omit other entities or sources.
  • Historical filing activity and posting signals do not confirm support for an individual role or predict an offer, visa approval or green-card outcome.
  • Role and workplace labels can be incomplete. Remote work does not establish international eligibility; confirm the exact role, location and employing entity.

Spotted an error? Request a correction. Updates replace the dated snapshot at this stable URL; source and data dates remain stated alongside the findings.