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PandaDoc, Inc. H-1B company data
Summary
PandaDoc, Inc. filed 6 H-1B labor condition applications (LCAs) with the U.S. Department of Labor between FY2020-FY2025.
Of those, 6 were certified (a 100% certification rate among adjudicated filings).
The filings span 2 distinct role titles across 5 worksites.
The most-sponsored role was Data Scientist (3 filings), with offered wages from $126,277 to $170,373.
Separately, USCIS H-1B Employer Data Hub records show 2 approved and 0 denied H-1B petitions for this employer.
LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
| Employer | LCA filings | Role titles | Worksites | Coverage | USCIS approvals | Top role | Sources | Open |
|---|---|---|---|---|---|---|---|---|
| PandaDoc, Inc. PANDADOC INC | 6 | 2 | 5 | FY2020 to FY2025 Latest decision 2025-05-29 | 2 | Data Scientist 3 filings | dol_oflc_lca, uscis_h1b_employer_data_hub | Profile |
Activity summary
| LCA filings | 6 |
| Certified LCAs | 6 |
| Denied LCAs | 0 |
| Role titles | 2 |
| Worksites | 5 |
| Latest decision | 2025-05-29 |
| USCIS approvals | 2 |
| USCIS denials | 0 |
Aliases and source names
| Aliases | Source Names | Sources |
|---|---|---|
| PANDADOC INC | PandaDoc, Inc., PANDADOC INC | dol_oflc_lca, uscis_h1b_employer_data_hub |
Top roles
| Title | SOC | LCA filings | Low wage min | High wage max |
|---|---|---|---|---|
| Data Scientist | 15-2051.00 Data Scientists | 3 | $126,277 | $170,373 |
| Data Scientist | 15-2031.00 Operations Research Analysts | 2 | $115,253 | $141,378 |
| Human Resources Analyst | 13-1071.00 Human Resources Specialists | 1 | $64,000 | $64,000 |
Top markets
| City | State | Postal Code | LCA Count | Role Title Count | Wage Low Min | Wage High Max | First Fiscal Year | Latest Fiscal Year |
|---|---|---|---|---|---|---|---|---|
| San Francisco | CA | 94110 | 2 | 1 | 126,277 | 153,088 | 2,023 | 2,023 |
| St. Petersburg | FL | 33701 | 1 | 1 | 64,000 | 64,000 | 2,020 | 2,020 |
| Jersey City | NJ | 07302 | 1 | 1 | 115,253 | 141,378 | 2,024 | 2,024 |
| Jersey City | NJ | 7302 | 1 | 1 | 115,253 | 141,378 | 2,022 | 2,022 |
| Brooklyn | NY | 11222 | 1 | 1 | 141,170 | 170,373 | 2,025 | 2,025 |
Full company payload
| Company ID | company:pandadoc |
| Name | PandaDoc, Inc. |
| Normalized Name | pandadoc |
| Source Company Ids | company_dol_oflc_lca_pandadoc_inc, company_uscis_h1b_datahub_pandadoc_inc_tax_1815 |
| Source Names | PandaDoc, Inc., PANDADOC INC |
| Aliases | PANDADOC INC |
| Sources | dol_oflc_lca, uscis_h1b_employer_data_hub |
Names
{
"source_names": [
"PandaDoc, Inc.",
"PANDADOC INC"
],
"dba_names": [],
"name_variants": [
{
"value": "PandaDoc, Inc.",
"filing_count": 6,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2025,
"source": "dol_oflc_lca"
},
{
"value": "PANDADOC INC",
"source": "uscis_h1b_employer_data_hub"
}
]
}Identifiers
[
{
"identifier_type": "tax_id_last_four",
"identifier_value": "1815",
"source": "uscis_h1b_employer_data_hub"
}
]LCA Activity
{
"lca_count": 6,
"case_count": 6,
"role_title_count": 2,
"worksite_count": 5,
"total_workers": 6,
"first_fiscal_year": 2020,
"first_received_date": "2020-03-20",
"latest_fiscal_year": 2025,
"latest_decision_date": "2025-05-29",
"certified_count": 6,
"denied_count": 0,
"status_breakdown": [
{
"value": "Certified",
"filing_count": 5,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2025,
"source": "dol_oflc_lca"
},
{
"value": "Certified - Withdrawn",
"filing_count": 1,
"first_fiscal_year": 2024,
"latest_fiscal_year": 2024,
"source": "dol_oflc_lca"
}
],
"visa_class_breakdown": [
{
"value": "H-1B",
"filing_count": 6,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2025,
"source": "dol_oflc_lca"
}
],
"full_time_position_breakdown": [
{
"value": "Y",
"filing_count": 6,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2025,
"source": "dol_oflc_lca"
}
]
}Petition Activity
{
"initial_approval": 0,
"initial_denial": 0,
"continuing_approval": 0,
"continuing_denial": 0,
"total_approval": 2,
"total_denial": 0,
"fiscal_years": [
"2022",
"2023"
],
"year_metrics": [
{
"cities": [
"San Francisco"
],
"states": [
"CA"
],
"fiscal_year": 2022,
"naics_codes": [
"51"
],
"postal_codes": [
"94121"
],
"total_denial": 0,
"initial_denial": 0,
"total_approval": 1,
"initial_approval": 0,
"continuing_denial": 0,
"petition_count_id": "petition_count_uscis_h1b_archive_pandadoc_inc_tax_1815_2022",
"source_record_ids": [
"sr_uscis_h1b_datahub_2022_row_039311"
],
"continuing_approval": 1
},
{
"cities": [],
"states": [],
"fiscal_year": 2023,
"naics_codes": [
"51"
],
"postal_codes": [],
"total_denial": 0,
"initial_denial": 0,
"total_approval": 1,
"initial_approval": 0,
"continuing_denial": 0,
"petition_count_id": "petition_count_uscis_h1b_archive_pandadoc_inc_tax_1815_2023",
"source_record_ids": [
"sr_uscis_h1b_datahub_2023_row_021627"
],
"continuing_approval": 1
}
]
}Addresses
{
"office_addresses": [
{
"address_kind": "office",
"raw_address": "ST. PETERSBURG FL 33701",
"city": "St. Petersburg",
"state": "FL",
"postal_code": "33701",
"filing_count": 1,
"case_count": 1,
"first_fiscal_year": 2025,
"latest_fiscal_year": 2025,
"latest_decision_date": "2025-05-29",
"source_ids": [
"dol_oflc_lca"
]
},
{
"address_kind": "office",
"raw_address": "SAN FRANCISCO CA 94121",
"city": "San Francisco",
"state": "CA",
"postal_code": "94121",
"filing_count": 4,
"case_count": 4,
"first_fiscal_year": 2022,
"latest_fiscal_year": 2024,
"latest_decision_date": "2024-04-04",
"source_ids": [
"dol_oflc_lca"
]
},
{
"address_kind": "office",
"raw_address": "SAN FRANSISCO CA 94108",
"city": "San Fransisco",
"state": "CA",
"postal_code": "94108",
"filing_count": 1,
"case_count": 1,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2020,
"latest_decision_date": "2020-03-27",
"source_ids": [
"dol_oflc_lca"
]
}
],
"worksite_addresses": [
{
"address_kind": "worksite",
"raw_address": "BROOKLYN NY 11222",
"city": "Brooklyn",
"county": "New York",
"state": "NY",
"postal_code": "11222",
"filing_count": 1,
"case_count": 1,
"first_fiscal_year": 2025,
"latest_fiscal_year": 2025,
"latest_decision_date": "2025-05-29",
"source_ids": [
"dol_oflc_lca"
]
},
{
"address_kind": "worksite",
"raw_address": "JERSEY CITY NJ 07302",
"city": "Jersey City",
"county": "Hudson",
"state": "NJ",
"postal_code": "07302",
"filing_count": 1,
"case_count": 1,
"first_fiscal_year": 2024,
"latest_fiscal_year": 2024,
"latest_decision_date": "2024-04-04",
"source_ids": [
"dol_oflc_lca"
]
},
{
"address_kind": "worksite",
"raw_address": "SAN FRANCISCO CA 94110",
"city": "San Francisco",
"county": "San Francisco",
"state": "CA",
"postal_code": "94110",
"filing_count": 2,
"case_count": 2,
"first_fiscal_year": 2023,
"latest_fiscal_year": 2023,
"latest_decision_date": "2022-11-18",
"source_ids": [
"dol_oflc_lca"
]
},
{
"address_kind": "worksite",
"raw_address": "JERSEY CITY NJ 7302",
"city": "Jersey City",
"county": "Hudson",
"state": "NJ",
"postal_code": "7302",
"filing_count": 1,
"case_count": 1,
"first_fiscal_year": 2022,
"latest_fiscal_year": 2022,
"latest_decision_date": "2022-07-08",
"source_ids": [
"dol_oflc_lca"
]
},
{
"address_kind": "worksite",
"raw_address": "ST. PETERSBURG FL 33701",
"city": "St. Petersburg",
"county": "Pinellas",
"state": "FL",
"postal_code": "33701",
"filing_count": 1,
"case_count": 1,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2020,
"latest_decision_date": "2020-03-27",
"source_ids": [
"dol_oflc_lca"
]
}
],
"summary": {
"office_address_count": 3,
"worksite_address_count": 5,
"has_street_address_evidence": true,
"caveat": "LCA employer/worksite addresses are capped filing evidence scoped to matched source company names and should not be treated as verified headquarters without external validation."
}
}Geography
{
"states": [
"CA",
"FL",
"NJ",
"NY"
],
"cities": [
"San Francisco",
"St. Petersburg",
"Jersey City",
"Brooklyn"
],
"postal_codes": [
"94110",
"33701",
"07302",
"7302",
"11222",
"94121"
],
"top_markets": [
{
"city": "San Francisco",
"state": "CA",
"postal_code": "94110",
"lca_count": 2,
"role_title_count": 1,
"wage_low_min": 126277,
"wage_high_max": 153088,
"first_fiscal_year": 2023,
"latest_fiscal_year": 2023
},
{
"city": "St. Petersburg",
"state": "FL",
"postal_code": "33701",
"lca_count": 1,
"role_title_count": 1,
"wage_low_min": 64000,
"wage_high_max": 64000,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2020
},
{
"city": "Jersey City",
"state": "NJ",
"postal_code": "07302",
"lca_count": 1,
"role_title_count": 1,
"wage_low_min": 115253,
"wage_high_max": 141378,
"first_fiscal_year": 2024,
"latest_fiscal_year": 2024
},
{
"city": "Jersey City",
"state": "NJ",
"postal_code": "7302",
"lca_count": 1,
"role_title_count": 1,
"wage_low_min": 115253,
"wage_high_max": 141378,
"first_fiscal_year": 2022,
"latest_fiscal_year": 2022
},
{
"city": "Brooklyn",
"state": "NY",
"postal_code": "11222",
"lca_count": 1,
"role_title_count": 1,
"wage_low_min": 141170,
"wage_high_max": 170373,
"first_fiscal_year": 2025,
"latest_fiscal_year": 2025
}
]
}Industry
{
"naics_codes": [
"511210",
"51"
],
"naics_breakdown": [
{
"value": "511210",
"filing_count": 6,
"first_fiscal_year": 2020,
"latest_fiscal_year": 2025,
"source": "dol_oflc_lca"
}
]
}Wage Summary
{
"annualized_low_min": 64000,
"annualized_high_max": 170373,
"annualized_low_avg": 114705
}Trend
[
{
"fiscal_year": 2020,
"quarter": "Q2",
"lca_count": 1,
"case_count": 1,
"role_title_count": 1,
"worksite_count": 1,
"wage_low_min": 64000,
"wage_high_max": 64000,
"wage_low_avg": 64000
},
{
"fiscal_year": 2022,
"quarter": "Q4",
"lca_count": 1,
"case_count": 1,
"role_title_count": 1,
"worksite_count": 1,
"wage_low_min": 115253,
"wage_high_max": 141378,
"wage_low_avg": 115253
},
{
"fiscal_year": 2023,
"quarter": "Q1",
"lca_count": 1,
"case_count": 1,
"role_title_count": 1,
"worksite_count": 1,
"wage_low_min": 126277,
"wage_high_max": 153088,
"wage_low_avg": 126277
},
{
"fiscal_year": 2023,
"quarter": "Q2",
"lca_count": 1,
"case_count": 1,
"role_title_count": 1,
"worksite_count": 1,
"wage_low_min": 126277,
"wage_high_max": 153088,
"wage_low_avg": 126277
},
{
"fiscal_year": 2024,
"quarter": "Q3",
"lca_count": 1,
"case_count": 1,
"role_title_count": 1,
"worksite_count": 1,
"wage_low_min": 115253,
"wage_high_max": 141378,
"wage_low_avg": 115253
},
{
"fiscal_year": 2025,
"quarter": "Q3",
"lca_count": 1,
"case_count": 1,
"role_title_count": 1,
"worksite_count": 1,
"wage_low_min": 141170,
"wage_high_max": 170373,
"wage_low_avg": 141170
}
]Links
{
"roles": "/v1/roles?company=PandaDoc%2C%20Inc.",
"wages": "/v1/wages?company=PandaDoc%2C%20Inc.",
"trends": "/v1/trends?company=PandaDoc%2C%20Inc."
}Frequently asked questions
- Does PandaDoc, Inc. sponsor H-1B visas?
- Yes. PandaDoc, Inc. filed 6 H-1B labor condition applications with the U.S. Department of Labor (FY2020-FY2025), of which 6 were certified. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
- How many H-1B applications has PandaDoc, Inc. filed?
- PandaDoc, Inc. has 6 H-1B LCA filings on record spanning FY2020-FY2025 across 2 role titles and 5 worksites.
- What roles does PandaDoc, Inc. sponsor for H-1B?
- The most common H-1B role at PandaDoc, Inc. is Data Scientist (3 filings). Other frequent roles include Human Resources Analyst.
- What wages does PandaDoc, Inc. offer H-1B workers?
- For its most-sponsored role (Data Scientist), PandaDoc, Inc. reported offered wages ranging from $126,277 to $170,373 in DOL LCA filings.
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