Explore data.ai_lab_jobs - I want evidence that Anthropic and OpenAI are leaning into enterprise sal...
Explore data.ai_lab_jobs - I want evidence that Anthropic and OpenAI are leaning into enterprise sales and appear to be building teams to help sell their products to large companies
Tool call: list_databases_and_tables
{}{
"databases": [
{
"database_name": "chinook",
"table_names": [
"_csv_progress_",
"_datasette_auth_tokens",
"_enrichment_errors",
"_enrichment_jobs",
"_enrichment_progress",
"_litestream_lock",
"_litestream_seq",
"_public_tables",
"_sqlite_migrations",
"_templates_",
"albums",
"artists",
"customers",
"datasette_ca460_document_files",
"datasette_ca460_documents",
"datasette_ca460_page_images",
"datasette_ca460_page_parsed",
"datasette_ca460_page_tasks",
"datasette_ca460_page_type_predictions",
"datasette_ca460_pages",
"datasette_ca460_sync_events",
"datasette_ca460_sync_jobs",
"datasette_scribe_collection_members",
"datasette_scribe_collections",
"datasette_scribe_submitted_jobs",
"datasette_scribe_transcription_entries",
"datasette_scribe_transcription_entries_fts",
"datasette_scribe_transcription_entries_fts_config",
"datasette_scribe_transcription_entries_fts_content",
"datasette_scribe_transcription_entries_fts_data",
"datasette_scribe_transcription_entries_fts_docsize",
"datasette_scribe_transcription_entries_fts_idx",
"datasette_scribe_transcripts",
"employees",
"genres",
"invoice_items",
"invoices",
"lahd_affordable_housing_projects",
"media_types",
"new_table",
"playlist_track",
"playlists",
"saved_queries",
"socrata_imports",
"sqlite_sequence",
"sqlite_stat1",
"tracks"
]
},
{
"database_name": "hmb",
"table_names": [
"_datasette_auth_tokens",
"_datasette_sheets_cell",
"_datasette_sheets_column",
"_datasette_sheets_dropdown_rule",
"_datasette_sheets_filter",
"_datasette_sheets_named_range",
"_datasette_sheets_sheet",
"_datasette_sheets_view",
"_datasette_sheets_workbook",
"_litestream_lock",
"_litestream_seq",
"_public_tables",
"_sqlite_migrations",
"_templates_",
"datasette_ca460_document_files",
"datasette_ca460_documents",
"datasette_ca460_page_images",
"datasette_ca460_page_parsed",
"datasette_ca460_page_tasks",
"datasette_ca460_page_type_predictions",
"datasette_ca460_pages",
"datasette_ca460_sync_events",
"datasette_ca460_sync_jobs",
"datasette_scribe_collection_members",
"datasette_scribe_collections",
"datasette_scribe_submitted_jobs",
"datasette_scribe_transcription_entries",
"datasette_scribe_transcription_entries_fts",
"datasette_scribe_transcription_entries_fts_config",
"datasette_scribe_transcription_entries_fts_content",
"datasette_scribe_transcription_entries_fts_data",
"datasette_scribe_transcription_entries_fts_docsize",
"datasette_scribe_transcription_entries_fts_idx",
"datasette_scribe_transcripts",
"places",
"places_fts",
"places_fts_config",
"places_fts_data",
"places_fts_docsize",
"places_fts_idx",
"saved_queries",
"sqlite_sequence"
]
},
{
"database_name": "demo",
"table_names": [
"_datasette_sheets_cell",
"_datasette_sheets_column",
"_datasette_sheets_dropdown_rule",
"_datasette_sheets_filter",
"_datasette_sheets_named_range",
"_datasette_sheets_sheet",
"_datasette_sheets_view",
"_datasette_sheets_workbook",
"_litestream_lock",
"_litestream_seq",
"_sqlite_migrations",
"congress_members",
"datasette_ca460_document_files",
"datasette_ca460_documents",
"datasette_ca460_page_images",
"datasette_ca460_page_parsed",
"datasette_ca460_page_tasks",
"datasette_ca460_page_type_predictions",
"datasette_ca460_pages",
"datasette_ca460_sync_events",
"datasette_ca460_sync_jobs",
"datasette_scribe_collection_members",
"datasette_scribe_collections",
"datasette_scribe_submitted_jobs",
"datasette_scribe_transcription_entries",
"datasette_scribe_transcription_entries_fts",
"datasette_scribe_transcription_entries_fts_config",
"datasette_scribe_transcription_entries_fts_content",
"datasette_scribe_transcription_entries_fts_data",
"datasette_scribe_transcription_entries_fts_docsize",
"datasette_scribe_transcription_entries_fts_idx",
"datasette_scribe_transcripts",
"fec_committees_2024",
"sf_facilities",
"sqlite_sequence"
]
},
{
"database_name": "data",
"table_names": [
"Paid_Parking_Transaction_Data",
"_csv_progress_",
"_datasette_sheets_cell",
"_datasette_sheets_column",
"_datasette_sheets_dropdown_rule",
"_datasette_sheets_filter",
"_datasette_sheets_named_range",
"_datasette_sheets_sheet",
"_datasette_sheets_view",
"_datasette_sheets_workbook",
"_enrichment_errors",
"_enrichment_jobs",
"_enrichment_progress",
"_litestream_lock",
"_litestream_seq",
"_public_tables",
"_sqlite_migrations",
"ai_lab_jobs",
"ai_lab_jobs_fts",
"ai_lab_jobs_fts_config",
"ai_lab_jobs_fts_data",
"ai_lab_jobs_fts_docsize",
"ai_lab_jobs_fts_idx",
"bach_society_events",
"datasette_ca460_document_files",
"datasette_ca460_documents",
"datasette_ca460_page_images",
"datasette_ca460_page_parsed",
"datasette_ca460_page_tasks",
"datasette_ca460_page_type_predictions",
"datasette_ca460_pages",
"datasette_ca460_sync_events",
"datasette_ca460_sync_jobs",
"datasette_scribe_collection_members",
"datasette_scribe_collections",
"datasette_scribe_submitted_jobs",
"datasette_scribe_transcription_entries",
"datasette_scribe_transcription_entries_fts",
"datasette_scribe_transcription_entries_fts_config",
"datasette_scribe_transcription_entries_fts_content",
"datasette_scribe_transcription_entries_fts_data",
"datasette_scribe_transcription_entries_fts_docsize",
"datasette_scribe_transcription_entries_fts_idx",
"datasette_scribe_transcripts",
"empty",
"files-demo",
"files-demo-2",
"fivethirtyeight_articles",
"geospatial_data",
"logs",
"nicar_2024_sessions",
"nicar_2024_sessions_fts",
"nicar_2024_sessions_fts_config",
"nicar_2024_sessions_fts_data",
"nicar_2024_sessions_fts_docsize",
"nicar_2024_sessions_fts_idx",
"nicar_2024_speaker_sessions",
"nicar_2024_speakers",
"pd_incidents",
"polygons",
"polygons_node",
"polygons_parent",
"polygons_rowid",
"public_test",
"saved_queries",
"simon_resume",
"simon_willison_resume",
"sqlite_sequence",
"test_alter",
"test_stream",
"zero_dependencies"
]
},
{
"database_name": "_internal",
"table_names": [
"_datasette_auth_tokens",
"_datasette_files_imports",
"_datasette_pad_comment",
"_datasette_pad_comment_event",
"_datasette_pad_doc",
"_datasette_pad_share",
"_datasette_pad_snapshot",
"_datasette_pad_step",
"_datasette_paper_doc",
"_datasette_paper_share",
"_datasette_paper_snapshot",
"_datasette_paper_step",
"_datasette_queries",
"_litestream_lock",
"_litestream_seq",
"_sqlite_migrations",
"_templates_",
"acl",
"acl_actions",
"acl_actor_groups",
"acl_audit",
"acl_groups",
"acl_groups_audit",
"acl_resources",
"agent_background_agents",
"agent_conversations",
"agent_explorer_reports",
"agent_messages",
"agent_pending_notifications",
"agent_responses",
"app_access",
"app_capability_grants",
"app_csp_origins",
"app_sql_databases",
"app_user_state",
"app_versions",
"apps",
"apps_fts",
"apps_fts_config",
"apps_fts_data",
"apps_fts_docsize",
"apps_fts_idx",
"catalog_columns",
"catalog_databases",
"catalog_foreign_keys",
"catalog_indexes",
"catalog_tables",
"catalog_views",
"column_types",
"datasette_ca460_document_files",
"datasette_ca460_documents",
"datasette_ca460_page_images",
"datasette_ca460_page_parsed",
"datasette_ca460_page_tasks",
"datasette_ca460_page_type_predictions",
"datasette_ca460_pages",
"datasette_ca460_sync_events",
"datasette_ca460_sync_jobs",
"datasette_comments_comments",
"datasette_comments_reactions",
"datasette_comments_threads",
"datasette_events",
"datasette_events_to_forward",
"datasette_files",
"datasette_files_fts",
"datasette_files_fts_config",
"datasette_files_fts_data",
"datasette_files_fts_docsize",
"datasette_files_fts_idx",
"datasette_files_sources",
"datasette_files_thumbnails",
"datasette_metadata_editable_history",
"datasette_pins_global_pinned_items",
"datasette_scribe_collection_members",
"datasette_scribe_collections",
"datasette_scribe_submitted_jobs",
"datasette_scribe_transcription_entries",
"datasette_scribe_transcription_entries_fts",
"datasette_scribe_transcription_entries_fts_config",
"datasette_scribe_transcription_entries_fts_content",
"datasette_scribe_transcription_entries_fts_data",
"datasette_scribe_transcription_entries_fts_docsize",
"datasette_scribe_transcription_entries_fts_idx",
"datasette_scribe_transcripts",
"datasette_secrets",
"metadata_columns",
"metadata_databases",
"metadata_instance",
"metadata_resources",
"public_audit_log",
"public_databases",
"public_queries",
"public_tables",
"sqlite_sequence",
"tables_extra_counts",
"tables_extra_created"
]
}
]
}Tool call: describe_table
{
"database": "data",
"table": "ai_lab_jobs"
}{
"database": "data",
"table": "ai_lab_jobs",
"columns": [
{
"name": "company",
"type": "TEXT",
"notnull": 0
},
{
"name": "id",
"type": "TEXT",
"notnull": 0
},
{
"name": "title",
"type": "TEXT",
"notnull": 0
},
{
"name": "team",
"type": "TEXT",
"notnull": 0
},
{
"name": "department",
"type": "TEXT",
"notnull": 0
},
{
"name": "location",
"type": "TEXT",
"notnull": 0
},
{
"name": "secondary_locations",
"type": "TEXT",
"notnull": 0
},
{
"name": "workplace_type",
"type": "TEXT",
"notnull": 0
},
{
"name": "is_remote",
"type": "INTEGER",
"notnull": 0
},
{
"name": "employment_type",
"type": "TEXT",
"notnull": 0
},
{
"name": "published_at",
"type": "TEXT",
"notnull": 0
},
{
"name": "compensation_summary",
"type": "TEXT",
"notnull": 0
},
{
"name": "url",
"type": "TEXT",
"notnull": 0
}
],
"foreign_keys": []
}Tool call: sql_query
{
"database": "data",
"sql": "select company, count(*) as jobs\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\ngroup by company",
"display": "both"
}{
"columns": [
"company",
"jobs"
],
"rows": [
{
"company": "Anthropic",
"jobs": 390
},
{
"company": "OpenAI",
"jobs": 703
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C+count%28%2A%29+as+jobs%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Agroup+by+company"
}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>jobs</th></tr></thead><tbody><tr><td>Anthropic</td><td>390</td></tr><tr><td>OpenAI</td><td>703</td></tr></tbody></table></div>Tool call: sql_query
{
"database": "data",
"sql": "select company, title, team, department, location, workplace_type, published_at, url\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\nand (\n lower(title) like '%enterprise%'\n or lower(title) like '%sales%'\n or lower(title) like '%account executive%'\n or lower(title) like '%account director%'\n or lower(title) like '%customer success%'\n or lower(title) like '%solutions architect%'\n or lower(title) like '%go-to-market%'\n or lower(title) like '%gtm%'\n or lower(title) like '%partnership%'\n or lower(team) like '%sales%'\n or lower(team) like '%enterprise%'\n or lower(team) like '%go to market%'\n or lower(team) like '%gtm%'\n or lower(department) like '%sales%'\n or lower(department) like '%enterprise%'\n or lower(department) like '%go to market%'\n or lower(department) like '%gtm%'\n)\norder by company, published_at desc",
"display": "model"
}{
"columns": [
"company",
"team",
"department",
"jobs"
],
"rows": [
{
"company": "Anthropic",
"team": "Sales",
"department": "Sales",
"jobs": 82
},
{
"company": "Anthropic",
"team": "AI Research & Engineering",
"department": "AI Research & Engineering",
"jobs": 71
},
{
"company": "Anthropic",
"team": "Finance",
"department": "Finance",
"jobs": 29
},
{
"company": "Anthropic",
"team": "Software Engineering - Infrastructure",
"department": "Software Engineering - Infrastructure",
"jobs": 25
},
{
"company": "Anthropic",
"team": "Security",
"department": "Security",
"jobs": 24
},
{
"company": "Anthropic",
"team": "Engineering & Design - Product",
"department": "Engineering & Design - Product",
"jobs": 23
},
{
"company": "Anthropic",
"team": "Legal",
"department": "Legal",
"jobs": 21
},
{
"company": "Anthropic",
"team": "Applied AI",
"department": "Applied AI",
"jobs": 18
},
{
"company": "Anthropic",
"team": "Safeguards (Trust & Safety) ",
"department": "Safeguards (Trust & Safety) ",
"jobs": 18
},
{
"company": "Anthropic",
"team": "Compute",
"department": "Compute",
"jobs": 17
},
{
"company": "Anthropic",
"team": "Marketing & Brand",
"department": "Marketing & Brand",
"jobs": 14
},
{
"company": "Anthropic",
"team": "Technical Program Management ",
"department": "Technical Program Management ",
"jobs": 14
},
{
"company": "Anthropic",
"team": "Product Management, Support, & Operations",
"department": "Product Management, Support, & Operations",
"jobs": 13
},
{
"company": "Anthropic",
"team": "Communications",
"department": "Communications",
"jobs": 6
},
{
"company": "Anthropic",
"team": "Data Science & Analytics",
"department": "Data Science & Analytics",
"jobs": 5
},
{
"company": "Anthropic",
"team": "People",
"department": "People",
"jobs": 5
},
{
"company": "Anthropic",
"team": "Public Benefit",
"department": "Public Benefit",
"jobs": 3
},
{
"company": "Anthropic",
"team": "Public Policy",
"department": "Public Policy",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Applied AI Engineering",
"department": "Applied AI",
"jobs": 58
},
{
"company": "OpenAI",
"team": "Technical Success",
"department": "Go To Market",
"jobs": 50
},
{
"company": "OpenAI",
"team": "Hardware",
"department": "Scaling",
"jobs": 37
},
{
"company": "OpenAI",
"team": "Model Deployment for Business",
"department": "Model Deployment for Business",
"jobs": 33
},
{
"company": "OpenAI",
"team": "Finance",
"department": "Finance",
"jobs": 30
},
{
"company": "OpenAI",
"team": "Marketing",
"department": "Marketing",
"jobs": 29
},
{
"company": "OpenAI",
"team": "Sales",
"department": "Go To Market",
"jobs": 28
},
{
"company": "OpenAI",
"team": "Security",
"department": "Security",
"jobs": 28
},
{
"company": "OpenAI",
"team": "Go To Market",
"department": "Go To Market",
"jobs": 26
},
{
"company": "OpenAI",
"team": "Data Science",
"department": "Data Science",
"jobs": 24
},
{
"company": "OpenAI",
"team": "User Operations",
"department": "User Operations",
"jobs": 21
},
{
"company": "OpenAI",
"team": "Ads Solutions",
"department": "Go To Market",
"jobs": 16
},
{
"company": "OpenAI",
"team": "Datacenter Design",
"department": "Scaling",
"jobs": 16
},
{
"company": "OpenAI",
"team": "B2B Applications",
"department": "Applied AI",
"jobs": 14
},
{
"company": "OpenAI",
"team": "AI Success",
"department": "Go To Market",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Applied AI Infrastructure",
"department": "Applied AI",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Legal",
"department": "Legal",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Product Management",
"department": "Product Management",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Safety Systems",
"department": "Safety Systems",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Strategic Finance",
"department": "Strategic Finance",
"jobs": 12
},
{
"company": "OpenAI",
"team": "Codex - Engineering",
"department": "Applied AI",
"jobs": 9
},
{
"company": "OpenAI",
"team": "Robotics",
"department": "Research",
"jobs": 9
},
{
"company": "OpenAI",
"team": "IT",
"department": "IT",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Intelligence & Investigations",
"department": "Intelligence & Investigations",
"jobs": 8
},
{
"company": "OpenAI",
"team": "OpenAI for Gov",
"department": "OpenAI for Gov",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Software",
"department": "Consumer Products",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Consumer Products",
"department": "Consumer Products",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Corporate Security",
"department": "Corporate Security",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Recruiting",
"department": "People",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Research",
"department": "Research",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Runtime",
"department": "Scaling",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Agents",
"department": "Research",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Fleet Clusters",
"department": "Scaling",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Preparedness",
"department": "Safety Systems",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Scaling",
"department": "Scaling",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Foundations",
"department": "Research",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Growth",
"department": "Go To Market",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Product Design",
"department": "Product Design",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Product Partnerships",
"department": "Product Partnerships",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Alignment",
"department": "Research",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Compute",
"department": "Scaling",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Developer Experience",
"department": "Go To Market",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Global Affairs",
"department": "Global Affairs",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Inference",
"department": "Scaling",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Partnerships",
"department": "Go To Market",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Support Automation",
"department": "User Operations",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Workplace",
"department": "Workplace",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Executive Operations",
"department": "Executive Operations",
"jobs": 3
},
{
"company": "OpenAI",
"team": "GTM Innovation",
"department": "Go To Market",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Human Data",
"department": "Research",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Human Resources",
"department": "People",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Model Policy",
"department": "Safety Systems",
"jobs": 3
},
{
"company": "OpenAI",
"team": "People Innovation Lab",
"department": "People",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Research Program Management",
"department": "Research",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Systems",
"department": "Scaling",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Technical Program Management",
"department": "Technical Program Management",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Trust & Safety",
"department": "Trust & Safety",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Frontiers Clusters",
"department": "Scaling",
"jobs": 2
},
{
"company": "OpenAI",
"team": "GTM Readiness",
"department": "Go To Market",
"jobs": 2
},
{
"company": "OpenAI",
"team": "People Systems & Operations",
"department": "People",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Post-training",
"department": "Research",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Sora",
"department": "Research",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Supercomputing",
"department": "Scaling",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Total Rewards",
"department": "People",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Workload",
"department": "Scaling",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Communications",
"department": "Communications",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Enablement",
"department": "Go To Market",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Kernels",
"department": "Scaling",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Operations",
"department": "Consumer Products",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Product Operations",
"department": "Product Operations",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Product Policy",
"department": "Product Policy",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Reasoning",
"department": "Research",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Revenue Operations",
"department": "Go To Market",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Training",
"department": "Research",
"jobs": 1
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C+team%2C+department%2C+count%28%2A%29+as+jobs%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Agroup+by+company%2C+team%2C+department%0Aorder+by+company%2C+jobs+desc%2C+team"
}Tool call: sql_query
{
"database": "data",
"sql": "select company, team, department, count(*) as jobs\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\ngroup by company, team, department\norder by company, jobs desc, team",
"display": "model"
}{
"columns": [
"company",
"title",
"team",
"department",
"location",
"workplace_type",
"published_at",
"url"
],
"rows": [
{
"company": "Anthropic",
"title": "Partner Solutions Architect, Applied AI",
"team": "Applied AI",
"department": "Applied AI",
"location": "Tokyo, Japan",
"workplace_type": "On-Site",
"published_at": "2026-05-26T21:43:20-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5222908008"
},
{
"company": "Anthropic",
"title": "Communications Manager, Enterprise",
"team": "Communications",
"department": "Communications",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-05-26T19:02:35-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5164551008"
},
{
"company": "Anthropic",
"title": "Data Engineering Manager, GTM & Marketing",
"team": "Data Science & Analytics",
"department": "Data Science & Analytics",
"location": "New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA",
"workplace_type": "On-Site",
"published_at": "2026-05-26T13:33:29-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5229976008"
},
{
"company": "Anthropic",
"title": "Customer Success Programs Manager",
"team": "Sales",
"department": "Sales",
"location": "Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-05-22T11:33:00-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5226954008"
},
{
"company": "Anthropic",
"title": "Account Executive, Beneficial Deployments (Spanish Speaking)",
"team": "Sales",
"department": "Sales",
"location": "Dublin, IE; London, UK",
"workplace_type": "On-Site",
"published_at": "2026-05-22T02:22:35-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5221914008"
},
{
"company": "Anthropic",
"title": "Strategic Partner Development, Product Partnerships - Cybersecurity",
"team": "AI Research & Engineering",
"department": "AI Research & Engineering",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-05-20T19:43:49-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5226540008"
},
{
"company": "Anthropic",
"title": "Beneficial Deployments Customer Success Manager, Scaled Partnerships",
"team": "Public Benefit",
"department": "Public Benefit",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-05-20T15:38:44-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5225812008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Industries Generalist",
"team": "Sales",
"department": "Sales",
"location": "Z\u00fcrich, CH",
"workplace_type": "On-Site",
"published_at": "2026-05-20T11:55:28-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5221930008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Industries Generalist",
"team": "Sales",
"department": "Sales",
"location": "Munich, Germany",
"workplace_type": "On-Site",
"published_at": "2026-05-20T11:53:09-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5223733008"
},
{
"company": "Anthropic",
"title": "Account Executive, Beneficial Deployments (French Speaking)",
"team": "Sales",
"department": "Sales",
"location": "Dublin, IE; London, UK",
"workplace_type": "On-Site",
"published_at": "2026-05-20T10:52:58-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5221910008"
},
{
"company": "Anthropic",
"title": "Head of Partner Programs",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-05-19T19:30:52-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5224507008"
},
{
"company": "Anthropic",
"title": "GTM Compensation Partner",
"team": "People",
"department": "People",
"location": "New York City, NY; San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-05-18T17:58:36-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5176442008"
},
{
"company": "Anthropic",
"title": "Manager of Solutions Architecture, Applied AI (Enterprise Tech)",
"team": "Applied AI",
"department": "Applied AI",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-05-18T17:11:30-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5222289008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Industries",
"team": "Sales",
"department": "Sales",
"location": "Sydney, Australia",
"workplace_type": "On-Site",
"published_at": "2026-05-18T11:45:10-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5222235008"
},
{
"company": "Anthropic",
"title": "Head of Enterprise Sales - Industries, ANZ",
"team": "Sales",
"department": "Sales",
"location": "Sydney, Australia",
"workplace_type": "On-Site",
"published_at": "2026-05-18T11:42:25-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5221932008"
},
{
"company": "Anthropic",
"title": "Enterprise Sales Manager - FSI",
"team": "Sales",
"department": "Sales",
"location": "Paris, France",
"workplace_type": "On-Site",
"published_at": "2026-05-18T04:25:52-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5218948008"
},
{
"company": "Anthropic",
"title": "Solutions Architect, Applied AI",
"team": "Applied AI",
"department": "Applied AI",
"location": "Z\u00fcrich, CH",
"workplace_type": "On-Site",
"published_at": "2026-05-17T18:08:03-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5204086008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive",
"team": "Sales",
"department": "Sales",
"location": "Seoul, South Korea",
"workplace_type": "On-Site",
"published_at": "2026-05-15T20:43:53-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5222914008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Manufacturing & Automotive",
"team": "Sales",
"department": "Sales",
"location": "Seoul, South Korea",
"workplace_type": "On-Site",
"published_at": "2026-05-15T20:43:50-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5219971008"
},
{
"company": "Anthropic",
"title": "Manager, Strategic Sales",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": null,
"published_at": "2026-05-11T18:07:30-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5153377008"
},
{
"company": "Anthropic",
"title": "Amazon GTM Partnership, Startups",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY | Seattle, WA",
"workplace_type": "On-Site",
"published_at": "2026-05-11T17:58:31-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5215052008"
},
{
"company": "Anthropic",
"title": "Manager, Commercial Counsel, GTM",
"team": "Legal",
"department": "Legal",
"location": "San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-05-04T18:17:25-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5209661008"
},
{
"company": "Anthropic",
"title": "Finance & Strategy, GTM (ASEAN)",
"team": "Finance",
"department": "Finance",
"location": "Singapore",
"workplace_type": "On-Site",
"published_at": "2026-05-02T13:17:53-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5202386008"
},
{
"company": "Anthropic",
"title": "Manager of Applied AI Architecture, Enterprise Tech (Cyber)",
"team": "Applied AI",
"department": "Applied AI",
"location": "New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA",
"workplace_type": "On-Site",
"published_at": "2026-04-24T12:17:48-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5197538008"
},
{
"company": "Anthropic",
"title": "Head of ANZ, Applied AI",
"team": "Sales",
"department": "Sales",
"location": "Sydney, Australia",
"workplace_type": "On-Site",
"published_at": "2026-04-24T10:30:10-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5184077008"
},
{
"company": "Anthropic",
"title": "Revenue Strategy & Operations",
"team": "Sales",
"department": "Sales",
"location": "Seoul, South Korea",
"workplace_type": "On-Site",
"published_at": "2026-04-24T08:19:08-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5199633008"
},
{
"company": "Anthropic",
"title": "Technical Specialist, Claude Code",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-04-23T18:13:14-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5197597008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Federal Civilian Sales - Commerce & Interior",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-21T18:40:40-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5196023008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Federal Civilian Sales - Education & Workforce",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-21T18:40:39-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5196029008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Federal Civilian Sales - State & International",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-21T18:40:38-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5196015008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Federal Civilian Sales - Transport & Land",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-21T18:40:37-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5196014008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Federal Civilian Sales",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-20T18:13:18-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5194670008"
},
{
"company": "Anthropic",
"title": "Applied AI Architect, Commercial",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-04-17T16:25:27-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5192805008"
},
{
"company": "Anthropic",
"title": "Copy Lead, Enterprise",
"team": "Marketing & Brand",
"department": "Marketing & Brand",
"location": "San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-04-16T17:28:34-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5188431008"
},
{
"company": "Anthropic",
"title": "Art Director, Enterprise",
"team": "Marketing & Brand",
"department": "Marketing & Brand",
"location": "San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-04-15T16:57:11-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5188428008"
},
{
"company": "Anthropic",
"title": "Revenue Strategy & Operations",
"team": "Sales",
"department": "Sales",
"location": "Bangalore, India",
"workplace_type": "On-Site",
"published_at": "2026-04-15T14:48:59-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5189205008"
},
{
"company": "Anthropic",
"title": "Manager, Mid-Market Industries Sales, West",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-04-15T09:31:36-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5188606008"
},
{
"company": "Anthropic",
"title": "Partner Enablement Lead, System Integrators",
"team": "Sales",
"department": "Sales",
"location": "London, UK; San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-04-14T16:55:51-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5188391008"
},
{
"company": "Anthropic",
"title": "Business Development Representative",
"team": "Sales",
"department": "Sales",
"location": "Seoul, South Korea",
"workplace_type": "On-Site",
"published_at": "2026-04-14T05:26:17-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5186199008"
},
{
"company": "Anthropic",
"title": "EMEA AE Lead, Beneficial Deployments",
"team": "Sales",
"department": "Sales",
"location": "Dublin, IE",
"workplace_type": "On-Site",
"published_at": "2026-04-13T13:54:51-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5165673008"
},
{
"company": "Anthropic",
"title": "Technical Enablement Lead, Claude Code",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-13T12:44:46-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5185501008"
},
{
"company": "Anthropic",
"title": "Scaled Enterprise Account Executive, Industries",
"team": "Sales",
"department": "Sales",
"location": "New York City, NY; San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-04-10T15:09:33-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5182887008"
},
{
"company": "Anthropic",
"title": "Head of Partner Success",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY | Seattle, WA",
"workplace_type": "On-Site",
"published_at": "2026-04-10T14:39:21-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5182866008"
},
{
"company": "Anthropic",
"title": "Strategic Account Executive, GSI",
"team": "Sales",
"department": "Sales",
"location": "New York City, NY; San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-04-09T07:27:24-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5176036008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, State & Local Sales - North East",
"team": "Sales",
"department": "Sales",
"location": "Boston, MA; New York City, NY; Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-04-08T13:49:27-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5181219008"
},
{
"company": "Anthropic",
"title": "Account Executive, Public Sector",
"team": "Sales",
"department": "Sales",
"location": "Sydney, Australia",
"workplace_type": null,
"published_at": "2026-04-07T16:10:24-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5101378008"
},
{
"company": "Anthropic",
"title": "Customer Success Manager, Higher Education",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-04-07T10:56:01-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5175932008"
},
{
"company": "Anthropic",
"title": "Demand Lead, Claude Marketplace",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-04-03T19:59:09-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5175017008"
},
{
"company": "Anthropic",
"title": "Customer Success Manager, Industries",
"team": "Sales",
"department": "Sales",
"location": "New York City, NY",
"workplace_type": null,
"published_at": "2026-04-03T12:12:57-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5068570008"
},
{
"company": "Anthropic",
"title": "Customer Success Manager, Scaled",
"team": "Sales",
"department": "Sales",
"location": "Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA",
"workplace_type": "On-Site",
"published_at": "2026-04-03T11:22:55-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5174700008"
},
{
"company": "Anthropic",
"title": "Manager of Applied AI Architecture, Partnerships",
"team": "Sales",
"department": "Sales",
"location": "San Francisco, CA | New York City, NY | Seattle, WA",
"workplace_type": "On-Site",
"published_at": "2026-04-01T16:58:51-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5173031008"
},
{
"company": "Anthropic",
"title": "Head of GovTech Sales",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-03-31T17:22:50-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5171187008"
},
{
"company": "Anthropic",
"title": "IT Systems Engineer, Enterprise SaaS",
"team": "Security",
"department": "Security",
"location": "Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY",
"workplace_type": "On-Site",
"published_at": "2026-03-24T12:22:56-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5161882008"
},
{
"company": "Anthropic",
"title": "Global Indirect, Sales Tax & VAT",
"team": "Finance",
"department": "Finance",
"location": "San Francisco, CA",
"workplace_type": "On-Site",
"published_at": "2026-03-24T10:31:25-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5159740008"
},
{
"company": "Anthropic",
"title": "Enterprise Account Executive, Federal Partners Sales",
"team": "Sales",
"department": "Sales",
"location": "Washington, DC",
"workplace_type": "On-Site",
"published_at": "2026-03-20T11:13:46-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5160180008"
},
{
"company": "Anthropic",
"title": "Applied AI Engineer, Beneficial Deployments",
"team": "Sales",
"department": "Sales",
"location": "Bangalore, India",
"workplace_type": null,
"published_at": "2026-03-13T11:21:24-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5146028008"
},
{
"company": "Anthropic",
"title": "Head of International Applied AI Architecture, Partnerships",
"team": "Sales",
"department": "Sales",
"location": "London, UK",
"workplace_type": "On-Site",
"published_at": "2026-03-10T10:07:49-04:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5146999008"
},
{
"company": "Anthropic",
"title": "Applied AI Architect, Government Technology",
"team": "Sales",
"department": "Sales",
"location": "New York City, NY; Washington, DC",
"workplace_type": null,
"published_at": "2026-03-05T14:59:18-05:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5140405008"
},
{
"company": "Anthropic",
"title": "Manager, Healthcare Enterprise Sales",
"team": "Sales",
"department": "Sales",
"location": "New York City, NY; San Francisco, CA",
"workplace_type": null,
"published_at": "2026-03-03T00:09:16-05:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5138289008"
},
{
"company": "Anthropic",
"title": "Finance & Strategy, GTM - India",
"team": "Finance",
"department": "Finance",
"location": "Bangalore, India",
"workplace_type": "On-Site",
"published_at": "2026-03-02T19:16:34-05:00",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5135964008"
},
{
"company": "Anthropic",
"title": "Applied AI Engineer",
"team": "Sales",
"department": "Sales",
"location": "Tokyo, Japan",
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"_edit_sql_url": "/data/-/query?sql=select+company%2C+title%2C+team%2C+department%2C+location%2C+workplace_type%2C+published_at%2C+url%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Aand+%28%0A++lower%28title%29+like+%27%25enterprise%25%27%0A++or+lower%28title%29+like+%27%25sales%25%27%0A++or+lower%28title%29+like+%27%25account+executive%25%27%0A++or+lower%28title%29+like+%27%25account+director%25%27%0A++or+lower%28title%29+like+%27%25customer+success%25%27%0A++or+lower%28title%29+like+%27%25solutions+architect%25%27%0A++or+lower%28title%29+like+%27%25go-to-market%25%27%0A++or+lower%28title%29+like+%27%25gtm%25%27%0A++or+lower%28title%29+like+%27%25partnership%25%27%0A++or+lower%28team%29+like+%27%25sales%25%27%0A++or+lower%28team%29+like+%27%25enterprise%25%27%0A++or+lower%28team%29+like+%27%25go+to+market%25%27%0A++or+lower%28team%29+like+%27%25gtm%25%27%0A++or+lower%28department%29+like+%27%25sales%25%27%0A++or+lower%28department%29+like+%27%25enterprise%25%27%0A++or+lower%28department%29+like+%27%25go+to+market%25%27%0A++or+lower%28department%29+like+%27%25gtm%25%27%0A%29%0Aorder+by+company%2C+published_at+desc"
}Tool call: sql_query
{
"database": "data",
"sql": "select company,\n sum(case when team='Sales' or department='Sales' then 1 else 0 end) as sales_jobs,\n count(*) as total_jobs,\n round(100.0 * sum(case when team='Sales' or department='Sales' then 1 else 0 end) / count(*), 1) as pct_sales\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\ngroup by company",
"display": "both"
}{
"columns": [
"company",
"sales_jobs",
"total_jobs",
"pct_sales"
],
"rows": [
{
"company": "Anthropic",
"sales_jobs": 82,
"total_jobs": 390,
"pct_sales": 21.0
},
{
"company": "OpenAI",
"sales_jobs": 28,
"total_jobs": 703,
"pct_sales": 4.0
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C%0A+++++++sum%28case+when+team%3D%27Sales%27+or+department%3D%27Sales%27+then+1+else+0+end%29+as+sales_jobs%2C%0A+++++++count%28%2A%29+as+total_jobs%2C%0A+++++++round%28100.0+%2A+sum%28case+when+team%3D%27Sales%27+or+department%3D%27Sales%27+then+1+else+0+end%29+%2F+count%28%2A%29%2C+1%29+as+pct_sales%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Agroup+by+company"
}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>sales_jobs</th><th>total_jobs</th><th>pct_sales</th></tr></thead><tbody><tr><td>Anthropic</td><td>82</td><td>390</td><td>21.0</td></tr><tr><td>OpenAI</td><td>28</td><td>703</td><td>4.0</td></tr></tbody></table></div>Tool call: sql_query
{
"database": "data",
"sql": "select company,\n sum(case when lower(title) like '%account executive%' then 1 else 0 end) as account_exec_roles,\n sum(case when lower(title) like '%customer success%' then 1 else 0 end) as customer_success_roles,\n sum(case when lower(title) like '%solutions architect%' then 1 else 0 end) as solutions_arch_roles,\n sum(case when lower(title) like '%partner%' then 1 else 0 end) as partner_roles,\n sum(case when lower(title) like '%enterprise%' then 1 else 0 end) as enterprise_in_title\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\ngroup by company",
"display": "both"
}{
"columns": [
"company",
"account_exec_roles",
"customer_success_roles",
"solutions_arch_roles",
"partner_roles",
"enterprise_in_title"
],
"rows": [
{
"company": "Anthropic",
"account_exec_roles": 37,
"customer_success_roles": 8,
"solutions_arch_roles": 6,
"partner_roles": 12,
"enterprise_in_title": 35
},
{
"company": "OpenAI",
"account_exec_roles": 0,
"customer_success_roles": 8,
"solutions_arch_roles": 1,
"partner_roles": 38,
"enterprise_in_title": 24
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C%0A+++++++sum%28case+when+lower%28title%29+like+%27%25account+executive%25%27+then+1+else+0+end%29+as+account_exec_roles%2C%0A+++++++sum%28case+when+lower%28title%29+like+%27%25customer+success%25%27+then+1+else+0+end%29+as+customer_success_roles%2C%0A+++++++sum%28case+when+lower%28title%29+like+%27%25solutions+architect%25%27+then+1+else+0+end%29+as+solutions_arch_roles%2C%0A+++++++sum%28case+when+lower%28title%29+like+%27%25partner%25%27+then+1+else+0+end%29+as+partner_roles%2C%0A+++++++sum%28case+when+lower%28title%29+like+%27%25enterprise%25%27+then+1+else+0+end%29+as+enterprise_in_title%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Agroup+by+company"
}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>account_exec_roles</th><th>customer_success_roles</th><th>solutions_arch_roles</th><th>partner_roles</th><th>enterprise_in_title</th></tr></thead><tbody><tr><td>Anthropic</td><td>37</td><td>8</td><td>6</td><td>12</td><td>35</td></tr><tr><td>OpenAI</td><td>0</td><td>8</td><td>1</td><td>38</td><td>24</td></tr></tbody></table></div>Tool call: sql_query
{
"database": "data",
"sql": "select company, title, team, department, location, published_at\nfrom ai_lab_jobs\nwhere company='OpenAI'\nand (\n lower(title) like '%account executive%'\n or lower(title) like '%customer success%'\n or lower(title) like '%solutions architect%'\n or lower(title) like '%enterprise%'\n or lower(title) like '%partner%'\n or team in ('Sales','Technical Success','Go To Market','AI Success','Partnerships','Enablement','Revenue Operations','GTM Readiness','GTM Innovation','Ads Solutions')\n or department='Go To Market'\n)\norder by published_at desc\nlimit 30",
"display": "model"
}{
"columns": [
"company",
"title",
"team",
"department",
"location",
"published_at"
],
"rows": [
{
"company": "OpenAI",
"title": "Partner AI Deployment Engineer - AWS",
"team": "Technical Success",
"department": "Go To Market",
"location": "Seoul, South Korea",
"published_at": "2026-05-27T01:39:27.343+00:00"
},
{
"company": "OpenAI",
"title": "Partner AI Deployment Engineer - AWS",
"team": "Technical Success",
"department": "Go To Market",
"location": "Sydney, Australia",
"published_at": "2026-05-27T01:38:52.430+00:00"
},
{
"company": "OpenAI",
"title": "Customer Education, Learning Experience & Curriculum Lead",
"team": "GTM Readiness",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-27T01:15:37.240+00:00"
},
{
"company": "OpenAI",
"title": "GTM Enablement Lead",
"team": "Enablement",
"department": "Go To Market",
"location": "India - Remote",
"published_at": "2026-05-27T01:04:15.455+00:00"
},
{
"company": "OpenAI",
"title": "Business Development Representative - EMEA (French Speaking)",
"team": "Sales",
"department": "Go To Market",
"location": "Dublin, Ireland",
"published_at": "2026-05-26T23:20:43.439+00:00"
},
{
"company": "OpenAI",
"title": "Business Development Representative - EMEA (German Speaking)",
"team": "Sales",
"department": "Go To Market",
"location": "Dublin, Ireland",
"published_at": "2026-05-26T23:20:07.463+00:00"
},
{
"company": "OpenAI",
"title": "Sales Operations",
"team": "Go To Market",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-26T19:56:52.294+00:00"
},
{
"company": "OpenAI",
"title": "Director, AI Deployment Management",
"team": "Go To Market",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-26T18:44:34.750+00:00"
},
{
"company": "OpenAI",
"title": "Executive Business Partner, People",
"team": "Executive Operations",
"department": "Executive Operations",
"location": "San Francisco",
"published_at": "2026-05-26T17:31:00.561+00:00"
},
{
"company": "OpenAI",
"title": "Enterprise 3P Field Events Lead",
"team": "Marketing",
"department": "Marketing",
"location": "San Francisco",
"published_at": "2026-05-23T03:31:18.386+00:00"
},
{
"company": "OpenAI",
"title": "Customer Success Manager, Ads Solutions",
"team": "Ads Solutions",
"department": "Go To Market",
"location": "Singapore",
"published_at": "2026-05-22T22:31:37.294+00:00"
},
{
"company": "OpenAI",
"title": "Regional Client Partner, Ads Solutions",
"team": "Ads Solutions",
"department": "Go To Market",
"location": "Singapore",
"published_at": "2026-05-22T22:31:12.377+00:00"
},
{
"company": "OpenAI",
"title": "Senior Technical Accounting Manager, Revenue & Strategic Partnerships",
"team": "Finance",
"department": "Finance",
"location": "San Francisco",
"published_at": "2026-05-22T18:49:31.959+00:00"
},
{
"company": "OpenAI",
"title": "GTM Readiness & Activation",
"team": "Go To Market",
"department": "Go To Market",
"location": "New York City",
"published_at": "2026-05-22T17:24:47.897+00:00"
},
{
"company": "OpenAI",
"title": "Inbound SDR Pipeline Lead",
"team": "Go To Market",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-22T05:24:44.701+00:00"
},
{
"company": "OpenAI",
"title": "Sales Development Manager, Enterprise (AMER)",
"team": "Go To Market",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-21T23:51:22.250+00:00"
},
{
"company": "OpenAI",
"title": "Head of GTM Enablement",
"team": "Go To Market",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-21T21:02:51.338+00:00"
},
{
"company": "OpenAI",
"title": "VC Partnerships Lead, APAC",
"team": "Sales",
"department": "Go To Market",
"location": "Singapore",
"published_at": "2026-05-21T03:33:01.999+00:00"
},
{
"company": "OpenAI",
"title": "GTM Cyber Security Leader",
"team": "Sales",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-20T21:37:45.888+00:00"
},
{
"company": "OpenAI",
"title": "Partner Director, Global McKinsey Alliance",
"team": "Go To Market",
"department": "Go To Market",
"location": "New York City",
"published_at": "2026-05-20T17:50:05.203+00:00"
},
{
"company": "OpenAI",
"title": "Manager, AI Deployment Engineering - Codex",
"team": "Go To Market",
"department": "Go To Market",
"location": "Munich, Germany",
"published_at": "2026-05-20T16:33:04.195+00:00"
},
{
"company": "OpenAI",
"title": "Manager, AI Deployment Engineering - Codex",
"team": "Go To Market",
"department": "Go To Market",
"location": "London, UK",
"published_at": "2026-05-20T16:28:14.229+00:00"
},
{
"company": "OpenAI",
"title": "Head of Ads Enterprise Marketing",
"team": "Marketing",
"department": "Marketing",
"location": "San Francisco",
"published_at": "2026-05-20T15:50:13.898+00:00"
},
{
"company": "OpenAI",
"title": "Business Development Representative",
"team": "Sales",
"department": "Go To Market",
"location": "Tokyo, Japan",
"published_at": "2026-05-20T11:46:20.007+00:00"
},
{
"company": "OpenAI",
"title": "Director, Certifications",
"team": "GTM Readiness",
"department": "Go To Market",
"location": "Remote - US",
"published_at": "2026-05-20T00:00:54.542+00:00"
},
{
"company": "OpenAI",
"title": "Software Engineer, Enterprise AI Platform ",
"team": "Finance",
"department": "Finance",
"location": "San Francisco",
"published_at": "2026-05-19T21:24:40.484+00:00"
},
{
"company": "OpenAI",
"title": "AI Deployment Engineering Manager, Startups",
"team": "Technical Success",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-19T20:05:22.881+00:00"
},
{
"company": "OpenAI",
"title": "VC Partnerships Manager",
"team": "Sales",
"department": "Go To Market",
"location": "London, UK",
"published_at": "2026-05-19T06:30:38.559+00:00"
},
{
"company": "OpenAI",
"title": "Partner Director, SI Partnerships",
"team": "Partnerships",
"department": "Go To Market",
"location": "San Francisco",
"published_at": "2026-05-18T16:44:44.063+00:00"
},
{
"company": "OpenAI",
"title": "Regional Client Partner, Ads Solutions",
"team": "Ads Solutions",
"department": "Go To Market",
"location": "Tokyo, Japan",
"published_at": "2026-05-18T15:34:15.994+00:00"
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C+title%2C+team%2C+department%2C+location%2C+published_at%0Afrom+ai_lab_jobs%0Awhere+company%3D%27OpenAI%27%0Aand+%28%0A++lower%28title%29+like+%27%25account+executive%25%27%0A++or+lower%28title%29+like+%27%25customer+success%25%27%0A++or+lower%28title%29+like+%27%25solutions+architect%25%27%0A++or+lower%28title%29+like+%27%25enterprise%25%27%0A++or+lower%28title%29+like+%27%25partner%25%27%0A++or+team+in+%28%27Sales%27%2C%27Technical+Success%27%2C%27Go+To+Market%27%2C%27AI+Success%27%2C%27Partnerships%27%2C%27Enablement%27%2C%27Revenue+Operations%27%2C%27GTM+Readiness%27%2C%27GTM+Innovation%27%2C%27Ads+Solutions%27%29%0A++or+department%3D%27Go+To+Market%27%0A%29%0Aorder+by+published_at+desc%0Alimit+30"
}Yes — the jobs data provides strong evidence that both Anthropic and OpenAI are investing in enterprise-facing commercial orgs, with Anthropic showing the clearest direct buildout of a classic enterprise sales team, and OpenAI showing a broader go-to-market / deployment / partnerships buildout aimed at serving large organizations.
From data.ai_lab_jobs:
- Anthropic: 390 total openings
- OpenAI: 703 total openings
- Anthropic: 82 roles explicitly in
team='Sales'/department='Sales'- That’s 21.0% of all Anthropic openings
- OpenAI: 28 roles explicitly in
team='Sales'- But OpenAI also has a much larger adjacent commercial org inside Go To Market:
- Technical Success: 50 jobs
- Sales: 28 jobs
- Go To Market: 26 jobs
- Ads Solutions: 16 jobs
- AI Success: 13 jobs
- Partnerships: 4 jobs
- GTM Innovation / Readiness / Enablement / Revenue Ops: additional roles
- But OpenAI also has a much larger adjacent commercial org inside Go To Market:
So for Anthropic, the enterprise push appears in a traditional sales org; for OpenAI, it appears in a broader GTM + deployment + success + partnerships organization.
Anthropic has a large explicit Sales org and many titles that are unmistakably enterprise-commercial.
Across all Anthropic jobs:
- 37 titles containing “Account Executive”
- 35 titles containing “Enterprise”
- 8 titles containing “Customer Success”
- 6 titles containing “Solutions Architect”
- 12 titles containing “Partner”
Recent Anthropic postings include:
- Enterprise Account Executive, Industries Generalist — Zürich
- Enterprise Account Executive, Industries Generalist — Munich
- Enterprise Account Executive, Industries — Sydney
- Head of Enterprise Sales - Industries, ANZ — Sydney
- Enterprise Sales Manager - FSI — Paris
- Customer Success Programs Manager — Sales team
- Head of Partner Programs
- Manager of Solutions Architecture, Applied AI (Enterprise Tech)
- Solutions Architect, Applied AI
- Account Executive, Beneficial Deployments (Spanish-speaking / French-speaking)
These are the types of jobs companies post when they are:
- building regional enterprise coverage
- hiring verticalized sellers (
Industries,FSI) - adding post-sales/customer success capacity
- supporting enterprise deployments with solution architects
- expanding channel/partner motion
That is classic evidence of a company gearing up to sell to large enterprises.
OpenAI’s evidence is less concentrated in a plain “Sales” bucket and more spread across Go To Market, Technical Success, deployment engineering, and partnerships.
Across all OpenAI jobs:
- 8 titles containing “Customer Success”
- 1 title containing “Solutions Architect”
- 38 titles containing “Partner”
- 24 titles containing “Enterprise”
And organizationally:
- Technical Success: 50 jobs
- Sales: 28 jobs
- Go To Market: 26 jobs
- Ads Solutions: 16 jobs
- AI Success: 13 jobs
That is a sizable customer-facing commercial/support structure.
OpenAI postings include:
- Sales Development Manager, Enterprise (AMER)
- Business Development Representative — Tokyo
- Business Development Representative - EMEA (French Speaking) — Dublin
- Business Development Representative - EMEA (German Speaking) — Dublin
- Sales Operations
- Head of GTM Enablement
- GTM Enablement Lead
- Inbound SDR Pipeline Lead
- Director, AI Deployment Management
- Manager, AI Deployment Engineering - Codex — London / Munich
- AI Deployment Engineering Manager, Startups
- Partner AI Deployment Engineer - AWS — Seoul / Sydney
- Partner Director, Global McKinsey Alliance
- Partner Director, SI Partnerships
- VC Partnerships Lead, APAC
- VC Partnerships Manager
- Customer Success Manager, Ads Solutions
- Regional Client Partner, Ads Solutions
- Enterprise 3P Field Events Lead
- Head of Ads Enterprise Marketing
These roles suggest OpenAI is building the infrastructure required to win and expand large accounts:
- top-of-funnel enterprise prospecting (BDR / SDR / pipeline lead)
- enterprise enablement and sales ops
- customer deployment teams (AI Deployment Engineering, Technical Success)
- ecosystem/channel partnerships (AWS, McKinsey, SI partnerships)
- enterprise marketing and field events
That is not just product-led growth; it looks like an increasingly mature enterprise GTM machine.
- Anthropic appears to be very clearly building an enterprise sales organization, with direct evidence in account executive, enterprise sales manager, head of enterprise sales, customer success, and solutions architecture hiring.
- OpenAI also appears to be building teams to sell into large companies, but the signal is expressed more through a broader Go To Market + Technical Success + Deployment Engineering + Partnerships structure rather than only through traditional enterprise AE titles.
The jobs data strongly suggests both companies are leaning into enterprise. Anthropic’s hiring looks like a straightforward enterprise sales buildout, while OpenAI’s hiring looks like a more expansive enterprise go-to-market buildout spanning sales development, customer success, deployment engineering, and strategic partnerships.
If you want, I can also turn this into:
- a short memo,
- a table of the strongest job-posting evidence by company, or
- a chart comparing enterprise/GTM hiring between Anthropic and OpenAI.
Are they hiring more people for these roles than for their research and engineering teams?
Tool call: sql_query
{
"database": "data",
"sql": "select company,\n sum(case when company='Anthropic' and (team='Sales' or department='Sales') then 1\n when company='OpenAI' and department='Go To Market' then 1\n else 0 end) as enterprise_gtm_jobs,\n sum(case when company='Anthropic' and (\n team in ('AI Research & Engineering','Software Engineering - Infrastructure','Engineering & Design - Product','Applied AI','Compute','Security','Safeguards (Trust & Safety) ','Technical Program Management ','Data Science & Analytics')\n or department in ('AI Research & Engineering','Software Engineering - Infrastructure','Engineering & Design - Product','Applied AI','Compute','Security','Safeguards (Trust & Safety) ','Technical Program Management ','Data Science & Analytics')\n ) then 1\n when company='OpenAI' and (\n department in ('Research','Applied AI','Scaling','Safety Systems','Data Science','Model Deployment for Business')\n or team in ('Research','Agents','Foundations','Alignment','Post-training','Sora','Robotics','Reasoning','Training','Human Data','Research Program Management','Applied AI Engineering','B2B Applications','Applied AI Infrastructure','Codex - Engineering','Hardware','Datacenter Design','Runtime','Fleet Clusters','Frontiers Clusters','Compute','Inference','Systems','Supercomputing','Workload','Safety Systems','Preparedness','Model Policy','Data Science','Model Deployment for Business')\n ) then 1\n else 0 end) as research_engineering_jobs,\n count(*) as total_jobs\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\ngroup by company",
"display": "both"
}{
"columns": [
"company",
"team",
"department",
"jobs"
],
"rows": [
{
"company": "Anthropic",
"team": "Sales",
"department": "Sales",
"jobs": 82
},
{
"company": "Anthropic",
"team": "AI Research & Engineering",
"department": "AI Research & Engineering",
"jobs": 71
},
{
"company": "Anthropic",
"team": "Finance",
"department": "Finance",
"jobs": 29
},
{
"company": "Anthropic",
"team": "Software Engineering - Infrastructure",
"department": "Software Engineering - Infrastructure",
"jobs": 25
},
{
"company": "Anthropic",
"team": "Security",
"department": "Security",
"jobs": 24
},
{
"company": "Anthropic",
"team": "Engineering & Design - Product",
"department": "Engineering & Design - Product",
"jobs": 23
},
{
"company": "Anthropic",
"team": "Legal",
"department": "Legal",
"jobs": 21
},
{
"company": "Anthropic",
"team": "Applied AI",
"department": "Applied AI",
"jobs": 18
},
{
"company": "Anthropic",
"team": "Safeguards (Trust & Safety) ",
"department": "Safeguards (Trust & Safety) ",
"jobs": 18
},
{
"company": "Anthropic",
"team": "Compute",
"department": "Compute",
"jobs": 17
},
{
"company": "Anthropic",
"team": "Marketing & Brand",
"department": "Marketing & Brand",
"jobs": 14
},
{
"company": "Anthropic",
"team": "Technical Program Management ",
"department": "Technical Program Management ",
"jobs": 14
},
{
"company": "Anthropic",
"team": "Product Management, Support, & Operations",
"department": "Product Management, Support, & Operations",
"jobs": 13
},
{
"company": "Anthropic",
"team": "Communications",
"department": "Communications",
"jobs": 6
},
{
"company": "Anthropic",
"team": "Data Science & Analytics",
"department": "Data Science & Analytics",
"jobs": 5
},
{
"company": "Anthropic",
"team": "People",
"department": "People",
"jobs": 5
},
{
"company": "Anthropic",
"team": "Public Benefit",
"department": "Public Benefit",
"jobs": 3
},
{
"company": "Anthropic",
"team": "Public Policy",
"department": "Public Policy",
"jobs": 2
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C+team%2C+department%2C+count%28%2A%29+as+jobs%0Afrom+ai_lab_jobs%0Awhere+company%3D%27Anthropic%27%0Agroup+by+company%2C+team%2C+department%0Aorder+by+jobs+desc"
}Tool call: sql_query
{
"database": "data",
"sql": "select company, team, department, count(*) as jobs\nfrom ai_lab_jobs\nwhere company='Anthropic'\ngroup by company, team, department\norder by jobs desc",
"display": "model"
}{
"columns": [
"company",
"team",
"department",
"jobs"
],
"rows": [
{
"company": "OpenAI",
"team": "Applied AI Engineering",
"department": "Applied AI",
"jobs": 58
},
{
"company": "OpenAI",
"team": "Technical Success",
"department": "Go To Market",
"jobs": 50
},
{
"company": "OpenAI",
"team": "Hardware",
"department": "Scaling",
"jobs": 37
},
{
"company": "OpenAI",
"team": "Model Deployment for Business",
"department": "Model Deployment for Business",
"jobs": 33
},
{
"company": "OpenAI",
"team": "Finance",
"department": "Finance",
"jobs": 30
},
{
"company": "OpenAI",
"team": "Marketing",
"department": "Marketing",
"jobs": 29
},
{
"company": "OpenAI",
"team": "Sales",
"department": "Go To Market",
"jobs": 28
},
{
"company": "OpenAI",
"team": "Security",
"department": "Security",
"jobs": 28
},
{
"company": "OpenAI",
"team": "Go To Market",
"department": "Go To Market",
"jobs": 26
},
{
"company": "OpenAI",
"team": "Data Science",
"department": "Data Science",
"jobs": 24
},
{
"company": "OpenAI",
"team": "User Operations",
"department": "User Operations",
"jobs": 21
},
{
"company": "OpenAI",
"team": "Ads Solutions",
"department": "Go To Market",
"jobs": 16
},
{
"company": "OpenAI",
"team": "Datacenter Design",
"department": "Scaling",
"jobs": 16
},
{
"company": "OpenAI",
"team": "B2B Applications",
"department": "Applied AI",
"jobs": 14
},
{
"company": "OpenAI",
"team": "AI Success",
"department": "Go To Market",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Applied AI Infrastructure",
"department": "Applied AI",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Legal",
"department": "Legal",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Product Management",
"department": "Product Management",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Safety Systems",
"department": "Safety Systems",
"jobs": 13
},
{
"company": "OpenAI",
"team": "Strategic Finance",
"department": "Strategic Finance",
"jobs": 12
},
{
"company": "OpenAI",
"team": "Codex - Engineering",
"department": "Applied AI",
"jobs": 9
},
{
"company": "OpenAI",
"team": "Robotics",
"department": "Research",
"jobs": 9
},
{
"company": "OpenAI",
"team": "IT",
"department": "IT",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Intelligence & Investigations",
"department": "Intelligence & Investigations",
"jobs": 8
},
{
"company": "OpenAI",
"team": "OpenAI for Gov",
"department": "OpenAI for Gov",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Software",
"department": "Consumer Products",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Consumer Products",
"department": "Consumer Products",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Corporate Security",
"department": "Corporate Security",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Recruiting",
"department": "People",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Research",
"department": "Research",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Runtime",
"department": "Scaling",
"jobs": 7
},
{
"company": "OpenAI",
"team": "Agents",
"department": "Research",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Fleet Clusters",
"department": "Scaling",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Preparedness",
"department": "Safety Systems",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Scaling",
"department": "Scaling",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Foundations",
"department": "Research",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Growth",
"department": "Go To Market",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Product Design",
"department": "Product Design",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Product Partnerships",
"department": "Product Partnerships",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Alignment",
"department": "Research",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Compute",
"department": "Scaling",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Developer Experience",
"department": "Go To Market",
"jobs": 4
},
{
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{
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{
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{
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{
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{
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"_edit_sql_url": "/data/-/query?sql=select+company%2C+team%2C+department%2C+count%28%2A%29+as+jobs%0Afrom+ai_lab_jobs%0Awhere+company%3D%27OpenAI%27%0Agroup+by+company%2C+team%2C+department%0Aorder+by+jobs+desc"
}Tool call: sql_query
{
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"_edit_sql_url": "/data/-/query?sql=select+company%2C%0A+++++++sum%28case+when+company%3D%27Anthropic%27+and+%28team%3D%27Sales%27+or+department%3D%27Sales%27%29+then+1%0A++++++++++++++++when+company%3D%27OpenAI%27+and+department%3D%27Go+To+Market%27+then+1%0A++++++++++++++++else+0+end%29+as+enterprise_gtm_jobs%2C%0A+++++++sum%28case+when+company%3D%27Anthropic%27+and+%28%0A++++++++++++++++++++team+in+%28%27AI+Research+%26+Engineering%27%2C%27Software+Engineering+-+Infrastructure%27%2C%27Engineering+%26+Design+-+Product%27%2C%27Applied+AI%27%2C%27Compute%27%2C%27Security%27%2C%27Safeguards+%28Trust+%26+Safety%29+%27%2C%27Technical+Program+Management+%27%2C%27Data+Science+%26+Analytics%27%29%0A+++++++++++++++++or+department+in+%28%27AI+Research+%26+Engineering%27%2C%27Software+Engineering+-+Infrastructure%27%2C%27Engineering+%26+Design+-+Product%27%2C%27Applied+AI%27%2C%27Compute%27%2C%27Security%27%2C%27Safeguards+%28Trust+%26+Safety%29+%27%2C%27Technical+Program+Management+%27%2C%27Data+Science+%26+Analytics%27%29%0A++++++++++++++++%29+then+1%0A++++++++++++++++when+company%3D%27OpenAI%27+and+%28%0A++++++++++++++++++++department+in+%28%27Research%27%2C%27Applied+AI%27%2C%27Scaling%27%2C%27Safety+Systems%27%2C%27Data+Science%27%2C%27Model+Deployment+for+Business%27%29%0A++++++++++++++++++++or+team+in+%28%27Research%27%2C%27Agents%27%2C%27Foundations%27%2C%27Alignment%27%2C%27Post-training%27%2C%27Sora%27%2C%27Robotics%27%2C%27Reasoning%27%2C%27Training%27%2C%27Human+Data%27%2C%27Research+Program+Management%27%2C%27Applied+AI+Engineering%27%2C%27B2B+Applications%27%2C%27Applied+AI+Infrastructure%27%2C%27Codex+-+Engineering%27%2C%27Hardware%27%2C%27Datacenter+Design%27%2C%27Runtime%27%2C%27Fleet+Clusters%27%2C%27Frontiers+Clusters%27%2C%27Compute%27%2C%27Inference%27%2C%27Systems%27%2C%27Supercomputing%27%2C%27Workload%27%2C%27Safety+Systems%27%2C%27Preparedness%27%2C%27Model+Policy%27%2C%27Data+Science%27%2C%27Model+Deployment+for+Business%27%29%0A++++++++++++++++%29+then+1%0A++++++++++++++++else+0+end%29+as+research_engineering_jobs%2C%0A+++++++count%28%2A%29+as+total_jobs%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Agroup+by+company"
}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>enterprise_gtm_jobs</th><th>research_engineering_jobs</th><th>total_jobs</th></tr></thead><tbody><tr><td>Anthropic</td><td>82</td><td>215</td><td>390</td></tr><tr><td>OpenAI</td><td>153</td><td>306</td><td>703</td></tr></tbody></table></div>No. Based on the current postings, both companies are still hiring more for research/engineering-related teams than for enterprise sales/GTM roles.
Using:
- Anthropic enterprise/commercial =
Sales - OpenAI enterprise/commercial =
Go To Market(including Sales, Technical Success, AI Success, Ads Solutions, Partnerships, etc.) - Research/engineering = research, applied AI, infrastructure/scaling, safety, data science, model deployment/business engineering, etc.
| Company | Enterprise / GTM jobs | Research / engineering jobs |
|---|---|---|
| Anthropic | 82 | 215 |
| OpenAI | 153 | 306 |
So:
- Anthropic: research/engineering hiring is about 2.6x enterprise-sales hiring
- OpenAI: research/engineering hiring is about 2.0x enterprise/GTM hiring
Anthropic does have a very large sales org:
- Sales: 82 jobs
But its technical org is still much larger:
- AI Research & Engineering: 71
- Software Engineering - Infrastructure: 25
- Security: 24
- Engineering & Design - Product: 23
- Applied AI: 18
- Safeguards (Trust & Safety): 18
- Compute: 17
- Technical Program Management: 14
- Data Science & Analytics: 5
Total counted research/engineering-related jobs: 215
Anthropic is clearly building enterprise sales aggressively, but not more aggressively than it is building technical teams overall.
OpenAI’s commercial org is broad and substantial:
- Technical Success: 50
- Sales: 28
- Go To Market: 26
- Ads Solutions: 16
- AI Success: 13
- Partnerships / GTM Readiness / Enablement / Revenue Ops / Growth / Developer Experience: additional roles
That adds up to 153 enterprise/GTM-oriented jobs in this grouping.
But research/engineering-related hiring is still larger:
- Applied AI Engineering: 58
- Hardware: 37
- Model Deployment for Business: 33
- Security: 28
- Data Science: 24
- Datacenter Design: 16
- B2B Applications: 14
- Applied AI Infrastructure: 13
- Safety Systems: 13
- plus Research / Robotics / Runtime / Agents / Foundations / Scaling / Compute / Inference / etc.
Total counted research/engineering-related jobs: 306
OpenAI is absolutely building out enterprise-facing teams, but technical hiring still dominates.
No. Both Anthropic and OpenAI appear to be ramping enterprise/commercial hiring, but in the current jobs data they are still hiring more heavily for research and engineering-related functions than for enterprise sales/GTM roles.
This depends on classification:
- For Anthropic, the comparison is straightforward because it has a clearly labeled
Salesorg. - For OpenAI, enterprise hiring is spread across
Go To Market,Technical Success,Sales,Ads Solutions,AI Success, andPartnerships, so the exact number can move depending on how broadly you define “roles that help sell to large companies.”
If you want, I can next produce:
- a stricter apples-to-apples comparison using only explicitly labeled sales roles, or
- a broader enterprise-support comparison including customer success, solutions, partnerships, and deployment engineering.
Model Deployment for Business?
Yes — “Model Deployment for Business” is one of OpenAI’s biggest signals of enterprise-oriented hiring.
From the jobs table:
- OpenAI — team:
Model Deployment for Business - 33 open roles
That makes it one of OpenAI’s larger job groups, behind only:
- Applied AI Engineering: 58
- Technical Success: 50
- Hardware: 37
and ahead of:
- Sales: 28
- Go To Market: 26
- Data Science: 24
Even though it’s not labeled “Sales,” Model Deployment for Business looks like a team focused on getting AI products into business environments and making them work in production for customers.
That is highly relevant to your original question, because enterprise selling in AI often requires more than account executives:
- deployment
- integration
- technical onboarding
- implementation support
- productionization for customer use cases
So if you’re asking whether OpenAI is building teams to help sell to large companies, this team should probably count as part of that broader enterprise motion, even if it sits closer to technical delivery than pure sales.
There are two reasonable ways to count it:
If you define categories narrowly, Model Deployment for Business looks technical and can be grouped with engineering.
If your question is about whether OpenAI is building org capacity to win and serve enterprise customers, then Model Deployment for Business is arguably part of the enterprise GTM stack, along with:
- Technical Success
- AI Success
- Sales
- Partnerships
- Go To Market
- Ads Solutions
Yes, it matters a lot.
If you include Model Deployment for Business in enterprise-facing hiring rather than pure engineering, then OpenAI’s enterprise push looks even stronger.
If you want, I can rerun the comparison with:
- strict sales vs research, and
- broad enterprise-facing vs core research/engineering
so you can see how much this team changes the result.
I think those "Forward Deployed Software Engineer" count as sales Jobs
Tool call: sql_query
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{
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"location": "Seattle",
"published_at": "2026-03-04T23:04:56.099+00:00"
},
{
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{
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"title": "Technical Deployment Lead, Forward Deployed Engineering (FDE) - SF",
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"published_at": "2026-02-26T21:10:46.893+00:00"
},
{
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"title": "Technical Deployment Lead, Forward Deployed Engineering (FDE)- Platform",
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"published_at": "2026-02-25T15:15:23.314+00:00"
},
{
"company": "OpenAI",
"title": "Platform Engineering Manager, Forward Deployed Engineering (FDE)",
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"published_at": "2026-02-23T21:29:26.146+00:00"
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{
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{
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{
"company": "OpenAI",
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},
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],
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}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>title</th><th>team</th><th>department</th><th>location</th><th>published_at</th></tr></thead><tbody><tr><td>Anthropic</td><td>Forward Deployed Engineer, Applied AI</td><td>Applied AI</td><td>Applied AI</td><td>Boston, MA; New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY; Washington, DC</td><td>2025-11-13T13:14:48-05:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Security Engineer</td><td>Security</td><td>Security</td><td>Washington, DC</td><td>2026-05-21T17:56:39.330+00:00</td></tr><tr><td>OpenAI</td><td>Physical Design Engineer, Forward Deployed Engineering</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2026-05-13T14:36:01.538+00:00</td></tr><tr><td>OpenAI</td><td>Design Verification, Forward Deployed Engineering</td><td>Hardware</td><td>Scaling</td><td>San Francisco</td><td>2026-05-08T21:03:26.319+00:00</td></tr><tr><td>OpenAI</td><td>Manager, Forward Deployed Engineering - Munich</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Munich, Germany</td><td>2026-04-23T22:14:17.349+00:00</td></tr><tr><td>OpenAI</td><td>Manager, Forward Deployed Engineering - London</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>London, UK</td><td>2026-04-23T22:13:01.639+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - Singapore</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Singapore</td><td>2026-04-21T22:08:40.179+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - Sydney</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Sydney, Australia</td><td>2026-04-07T21:32:48.209+00:00</td></tr><tr><td>OpenAI</td><td>Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>New York City</td><td>2026-03-12T16:50:24.228+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer (FDE) - Seattle</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Seattle</td><td>2026-03-04T23:04:56.099+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - Seattle</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Seattle</td><td>2026-03-04T23:03:50.161+00:00</td></tr><tr><td>OpenAI</td><td>Technical Deployment Lead, Forward Deployed Engineering (FDE) - SF</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2026-02-26T21:10:46.893+00:00</td></tr><tr><td>OpenAI</td><td>Technical Deployment Lead, Forward Deployed Engineering (FDE)- Platform</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2026-02-25T15:15:23.314+00:00</td></tr><tr><td>OpenAI</td><td>Platform Engineering Manager, Forward Deployed Engineering (FDE)</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2026-02-23T21:29:26.146+00:00</td></tr><tr><td>OpenAI</td><td>Platform Engineer, Forward Deployed Engineering (FDE) - NYC</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>New York City</td><td>2026-02-23T15:21:58.157+00:00</td></tr><tr><td>OpenAI</td><td>Platform Engineer, Forward Deployed Engineering (FDE) -SF</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2026-02-13T15:03:41.122+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - NYC</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>New York City</td><td>2025-12-10T22:20:16.127+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - Singapore</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Singapore</td><td>2025-12-09T04:29:43.507+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - Munich</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Munich, Germany</td><td>2025-11-20T16:39:14.461+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - Dublin</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Dublin, Ireland</td><td>2025-11-20T16:39:11.436+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - Paris</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Paris, France</td><td>2025-11-20T16:39:08.398+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - SF</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2025-11-15T01:25:39.198+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - London</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>London, UK</td><td>2025-11-13T16:46:33.566+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - London</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>London, UK</td><td>2025-11-13T16:45:32.494+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Software Engineer - Tokyo</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Tokyo, Japan</td><td>2025-11-12T17:26:36.569+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer (FDE) - NYC</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>New York City</td><td>2025-11-07T03:38:44.951+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - Munich</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Munich, Germany</td><td>2025-09-23T17:11:49.288+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - Paris</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Paris, France</td><td>2025-09-23T17:11:47.280+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - Dublin</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Dublin, Ireland</td><td>2025-09-23T17:11:44.997+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer - Tokyo</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>Tokyo, Japan</td><td>2025-09-16T03:55:31.798+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer, Gov</td><td>OpenAI for Gov</td><td>OpenAI for Gov</td><td>Washington, DC</td><td>2025-09-03T22:38:06.592+00:00</td></tr><tr><td>OpenAI</td><td>Forward Deployed Engineer (FDE) - SF</td><td>Model Deployment for Business</td><td>Model Deployment for Business</td><td>San Francisco</td><td>2025-08-06T21:06:34.670+00:00</td></tr></tbody></table></div>Tool call: sql_query
{
"database": "data",
"sql": "select company,\n sum(case when lower(title) like '%forward deployed%' then 1 else 0 end) as forward_deployed_jobs,\n sum(case when company='Anthropic' and (team='Sales' or department='Sales') then 1\n when company='OpenAI' and department='Go To Market' then 1\n else 0 end) as prior_enterprise_gtm_jobs,\n sum(case when company='Anthropic' and (team='Sales' or department='Sales' or lower(title) like '%forward deployed%') then 1\n when company='OpenAI' and (department='Go To Market' or lower(title) like '%forward deployed%') then 1\n else 0 end) as enterprise_gtm_plus_fde,\n sum(case when company='Anthropic' and (\n team in ('AI Research & Engineering','Software Engineering - Infrastructure','Engineering & Design - Product','Applied AI','Compute','Security','Safeguards (Trust & Safety) ','Technical Program Management ','Data Science & Analytics')\n or department in ('AI Research & Engineering','Software Engineering - Infrastructure','Engineering & Design - Product','Applied AI','Compute','Security','Safeguards (Trust & Safety) ','Technical Program Management ','Data Science & Analytics')\n ) then 1\n when company='OpenAI' and (\n department in ('Research','Applied AI','Scaling','Safety Systems','Data Science','Model Deployment for Business')\n or team in ('Research','Agents','Foundations','Alignment','Post-training','Sora','Robotics','Reasoning','Training','Human Data','Research Program Management','Applied AI Engineering','B2B Applications','Applied AI Infrastructure','Codex - Engineering','Hardware','Datacenter Design','Runtime','Fleet Clusters','Frontiers Clusters','Compute','Inference','Systems','Supercomputing','Workload','Safety Systems','Preparedness','Model Policy','Data Science','Model Deployment for Business')\n ) then 1\n else 0 end) as prior_research_engineering_jobs,\n sum(case when company='Anthropic' and (\n team in ('AI Research & Engineering','Software Engineering - Infrastructure','Engineering & Design - Product','Applied AI','Compute','Security','Safeguards (Trust & Safety) ','Technical Program Management ','Data Science & Analytics')\n or department in ('AI Research & Engineering','Software Engineering - Infrastructure','Engineering & Design - Product','Applied AI','Compute','Security','Safeguards (Trust & Safety) ','Technical Program Management ','Data Science & Analytics')\n ) and lower(title) not like '%forward deployed%'\n then 1\n when company='OpenAI' and (\n department in ('Research','Applied AI','Scaling','Safety Systems','Data Science','Model Deployment for Business')\n or team in ('Research','Agents','Foundations','Alignment','Post-training','Sora','Robotics','Reasoning','Training','Human Data','Research Program Management','Applied AI Engineering','B2B Applications','Applied AI Infrastructure','Codex - Engineering','Hardware','Datacenter Design','Runtime','Fleet Clusters','Frontiers Clusters','Compute','Inference','Systems','Supercomputing','Workload','Safety Systems','Preparedness','Model Policy','Data Science','Model Deployment for Business')\n ) and lower(title) not like '%forward deployed%'\n then 1\n else 0 end) as research_engineering_minus_fde\nfrom ai_lab_jobs\nwhere company in ('Anthropic','OpenAI')\ngroup by company",
"display": "both"
}{
"columns": [
"company",
"forward_deployed_jobs",
"prior_enterprise_gtm_jobs",
"enterprise_gtm_plus_fde",
"prior_research_engineering_jobs",
"research_engineering_minus_fde"
],
"rows": [
{
"company": "Anthropic",
"forward_deployed_jobs": 1,
"prior_enterprise_gtm_jobs": 82,
"enterprise_gtm_plus_fde": 83,
"prior_research_engineering_jobs": 215,
"research_engineering_minus_fde": 214
},
{
"company": "OpenAI",
"forward_deployed_jobs": 31,
"prior_enterprise_gtm_jobs": 153,
"enterprise_gtm_plus_fde": 184,
"prior_research_engineering_jobs": 306,
"research_engineering_minus_fde": 277
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C%0A+++++++sum%28case+when+lower%28title%29+like+%27%25forward+deployed%25%27+then+1+else+0+end%29+as+forward_deployed_jobs%2C%0A+++++++sum%28case+when+company%3D%27Anthropic%27+and+%28team%3D%27Sales%27+or+department%3D%27Sales%27%29+then+1%0A++++++++++++++++when+company%3D%27OpenAI%27+and+department%3D%27Go+To+Market%27+then+1%0A++++++++++++++++else+0+end%29+as+prior_enterprise_gtm_jobs%2C%0A+++++++sum%28case+when+company%3D%27Anthropic%27+and+%28team%3D%27Sales%27+or+department%3D%27Sales%27+or+lower%28title%29+like+%27%25forward+deployed%25%27%29+then+1%0A++++++++++++++++when+company%3D%27OpenAI%27+and+%28department%3D%27Go+To+Market%27+or+lower%28title%29+like+%27%25forward+deployed%25%27%29+then+1%0A++++++++++++++++else+0+end%29+as+enterprise_gtm_plus_fde%2C%0A+++++++sum%28case+when+company%3D%27Anthropic%27+and+%28%0A++++++++++++++++++++team+in+%28%27AI+Research+%26+Engineering%27%2C%27Software+Engineering+-+Infrastructure%27%2C%27Engineering+%26+Design+-+Product%27%2C%27Applied+AI%27%2C%27Compute%27%2C%27Security%27%2C%27Safeguards+%28Trust+%26+Safety%29+%27%2C%27Technical+Program+Management+%27%2C%27Data+Science+%26+Analytics%27%29%0A+++++++++++++++++or+department+in+%28%27AI+Research+%26+Engineering%27%2C%27Software+Engineering+-+Infrastructure%27%2C%27Engineering+%26+Design+-+Product%27%2C%27Applied+AI%27%2C%27Compute%27%2C%27Security%27%2C%27Safeguards+%28Trust+%26+Safety%29+%27%2C%27Technical+Program+Management+%27%2C%27Data+Science+%26+Analytics%27%29%0A++++++++++++++++%29+then+1%0A++++++++++++++++when+company%3D%27OpenAI%27+and+%28%0A++++++++++++++++++++department+in+%28%27Research%27%2C%27Applied+AI%27%2C%27Scaling%27%2C%27Safety+Systems%27%2C%27Data+Science%27%2C%27Model+Deployment+for+Business%27%29%0A++++++++++++++++++++or+team+in+%28%27Research%27%2C%27Agents%27%2C%27Foundations%27%2C%27Alignment%27%2C%27Post-training%27%2C%27Sora%27%2C%27Robotics%27%2C%27Reasoning%27%2C%27Training%27%2C%27Human+Data%27%2C%27Research+Program+Management%27%2C%27Applied+AI+Engineering%27%2C%27B2B+Applications%27%2C%27Applied+AI+Infrastructure%27%2C%27Codex+-+Engineering%27%2C%27Hardware%27%2C%27Datacenter+Design%27%2C%27Runtime%27%2C%27Fleet+Clusters%27%2C%27Frontiers+Clusters%27%2C%27Compute%27%2C%27Inference%27%2C%27Systems%27%2C%27Supercomputing%27%2C%27Workload%27%2C%27Safety+Systems%27%2C%27Preparedness%27%2C%27Model+Policy%27%2C%27Data+Science%27%2C%27Model+Deployment+for+Business%27%29%0A++++++++++++++++%29+then+1%0A++++++++++++++++else+0+end%29+as+prior_research_engineering_jobs%2C%0A+++++++sum%28case+when+company%3D%27Anthropic%27+and+%28%0A++++++++++++++++++++team+in+%28%27AI+Research+%26+Engineering%27%2C%27Software+Engineering+-+Infrastructure%27%2C%27Engineering+%26+Design+-+Product%27%2C%27Applied+AI%27%2C%27Compute%27%2C%27Security%27%2C%27Safeguards+%28Trust+%26+Safety%29+%27%2C%27Technical+Program+Management+%27%2C%27Data+Science+%26+Analytics%27%29%0A+++++++++++++++++or+department+in+%28%27AI+Research+%26+Engineering%27%2C%27Software+Engineering+-+Infrastructure%27%2C%27Engineering+%26+Design+-+Product%27%2C%27Applied+AI%27%2C%27Compute%27%2C%27Security%27%2C%27Safeguards+%28Trust+%26+Safety%29+%27%2C%27Technical+Program+Management+%27%2C%27Data+Science+%26+Analytics%27%29%0A++++++++++++++++%29+and+lower%28title%29+not+like+%27%25forward+deployed%25%27%0A++++++++++++++++then+1%0A++++++++++++++++when+company%3D%27OpenAI%27+and+%28%0A++++++++++++++++++++department+in+%28%27Research%27%2C%27Applied+AI%27%2C%27Scaling%27%2C%27Safety+Systems%27%2C%27Data+Science%27%2C%27Model+Deployment+for+Business%27%29%0A++++++++++++++++++++or+team+in+%28%27Research%27%2C%27Agents%27%2C%27Foundations%27%2C%27Alignment%27%2C%27Post-training%27%2C%27Sora%27%2C%27Robotics%27%2C%27Reasoning%27%2C%27Training%27%2C%27Human+Data%27%2C%27Research+Program+Management%27%2C%27Applied+AI+Engineering%27%2C%27B2B+Applications%27%2C%27Applied+AI+Infrastructure%27%2C%27Codex+-+Engineering%27%2C%27Hardware%27%2C%27Datacenter+Design%27%2C%27Runtime%27%2C%27Fleet+Clusters%27%2C%27Frontiers+Clusters%27%2C%27Compute%27%2C%27Inference%27%2C%27Systems%27%2C%27Supercomputing%27%2C%27Workload%27%2C%27Safety+Systems%27%2C%27Preparedness%27%2C%27Model+Policy%27%2C%27Data+Science%27%2C%27Model+Deployment+for+Business%27%29%0A++++++++++++++++%29+and+lower%28title%29+not+like+%27%25forward+deployed%25%27%0A++++++++++++++++then+1%0A++++++++++++++++else+0+end%29+as+research_engineering_minus_fde%0Afrom+ai_lab_jobs%0Awhere+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0Agroup+by+company"
}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>forward_deployed_jobs</th><th>prior_enterprise_gtm_jobs</th><th>enterprise_gtm_plus_fde</th><th>prior_research_engineering_jobs</th><th>research_engineering_minus_fde</th></tr></thead><tbody><tr><td>Anthropic</td><td>1</td><td>82</td><td>83</td><td>215</td><td>214</td></tr><tr><td>OpenAI</td><td>31</td><td>153</td><td>184</td><td>306</td><td>277</td></tr></tbody></table></div>That’s a reasonable call — especially for OpenAI.
If you treat Forward Deployed Software Engineer / Forward Deployed Engineer as part of the enterprise-selling / customer deployment motion rather than pure engineering, the comparison shifts, but research/engineering still remains larger overall.
- Anthropic: 1 forward deployed role
- OpenAI: 31 forward deployed roles
Most of OpenAI’s forward-deployed roles sit in:
- Team:
Model Deployment for Business - Department:
Model Deployment for Business
Examples include:
- Forward Deployed Software Engineer — Seattle / NYC / Singapore / Munich / Dublin / Paris / SF / London / Tokyo
- Forward Deployed Engineer — Singapore / Sydney / London / Munich / Paris / Dublin / Tokyo / SF / NYC
- Manager, Forward Deployed Engineering — Munich / London
- Technical Deployment Lead, Forward Deployed Engineering — NYC / SF / Platform
- Platform Engineer, Forward Deployed Engineering — NYC / SF
That looks very much like a customer implementation / enterprise deployment layer.
If we move forward-deployed roles from research/engineering into enterprise/GTM:
| Company | Enterprise/GTM incl. forward deployed | Research/engineering excl. forward deployed |
|---|---|---|
| Anthropic | 83 | 214 |
| OpenAI | 184 | 277 |
- Almost no change
- Enterprise/GTM still far smaller than research/engineering
- Enterprise-facing hiring looks materially larger
- But still not larger than research/engineering
- Gap narrows from:
- 153 vs 306 before
- to 184 vs 277 after reclassifying forward-deployed roles
So for OpenAI, counting forward-deployed roles as “sales-support / enterprise” makes a real difference.
If you count forward-deployed engineers as part of the enterprise-sales motion, OpenAI’s enterprise-facing hiring gets meaningfully bigger — but it still does not exceed its research/engineering hiring in the current dataset.
For your original question, I would not call forward-deployed engineers “sales” in the narrow sense. But I would count them as part of the enterprise commercial motion:
- they help land deployments
- they make enterprise accounts successful
- they are often essential to closing and expanding large customers
So they belong in a broader bucket like:
- enterprise-facing
- GTM/support
- customer deployment rather than pure quota-carrying sales.
If you want, I can build a cleaner 3-bucket breakdown for both companies:
- Core research/engineering
- Enterprise sales & GTM
- Forward deployed / customer deployment / technical success
That would probably be the most defensible way to present this.
Ok I care about hires that support enterprise buildup as opposed to non-enterprise-related hires
Tool call: sql_query
{
"database": "data",
"sql": "with classified as (\n select company,\n title,\n team,\n department,\n case\n when company='Anthropic' and (\n team='Sales' or department='Sales'\n or lower(title) like '%account executive%'\n or lower(title) like '%customer success%'\n or lower(title) like '%solutions architect%'\n or lower(title) like '%enterprise%'\n or lower(title) like '%partner%'\n or lower(title) like '%forward deployed%'\n or lower(title) like '%gtm%'\n or lower(title) like '%business development%'\n or lower(title) like '%sales%'\n ) then 'enterprise_support'\n when company='OpenAI' and (\n department='Go To Market'\n or department='Model Deployment for Business'\n or team in ('Technical Success','Sales','Go To Market','Ads Solutions','AI Success','Partnerships','Enablement','Revenue Operations','GTM Readiness','GTM Innovation','Growth','Developer Experience','OpenAI for Gov')\n or lower(title) like '%account executive%'\n or lower(title) like '%customer success%'\n or lower(title) like '%solutions architect%'\n or lower(title) like '%enterprise%'\n or lower(title) like '%partner%'\n or lower(title) like '%forward deployed%'\n or lower(title) like '%gtm%'\n or lower(title) like '%business development%'\n or lower(title) like '%sales%'\n or lower(title) like '%deployment%'\n or lower(title) like '%client partner%'\n or lower(title) like '%sdr%'\n or lower(title) like '%bdr%'\n ) then 'enterprise_support'\n else 'non_enterprise'\n end as bucket\n from ai_lab_jobs\n where company in ('Anthropic','OpenAI')\n)\nselect company,\n bucket,\n count(*) as jobs,\n round(100.0 * count(*) / sum(count(*)) over (partition by company), 1) as pct_of_company\nfrom classified\ngroup by company, bucket\norder by company, jobs desc",
"display": "both"
}{
"columns": [
"company",
"bucket",
"jobs",
"pct_of_company"
],
"rows": [
{
"company": "Anthropic",
"bucket": "non_enterprise",
"jobs": 285,
"pct_of_company": 73.1
},
{
"company": "Anthropic",
"bucket": "enterprise_support",
"jobs": 105,
"pct_of_company": 26.9
},
{
"company": "OpenAI",
"bucket": "non_enterprise",
"jobs": 474,
"pct_of_company": 67.4
},
{
"company": "OpenAI",
"bucket": "enterprise_support",
"jobs": 229,
"pct_of_company": 32.6
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=with+classified+as+%28%0A++select+company%2C%0A+++++++++title%2C%0A+++++++++team%2C%0A+++++++++department%2C%0A+++++++++case%0A+++++++++++when+company%3D%27Anthropic%27+and+%28%0A+++++++++++++team%3D%27Sales%27+or+department%3D%27Sales%27%0A+++++++++++++or+lower%28title%29+like+%27%25account+executive%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25customer+success%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25solutions+architect%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25enterprise%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25partner%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25forward+deployed%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25gtm%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25business+development%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25sales%25%27%0A+++++++++++%29+then+%27enterprise_support%27%0A+++++++++++when+company%3D%27OpenAI%27+and+%28%0A+++++++++++++department%3D%27Go+To+Market%27%0A+++++++++++++or+department%3D%27Model+Deployment+for+Business%27%0A+++++++++++++or+team+in+%28%27Technical+Success%27%2C%27Sales%27%2C%27Go+To+Market%27%2C%27Ads+Solutions%27%2C%27AI+Success%27%2C%27Partnerships%27%2C%27Enablement%27%2C%27Revenue+Operations%27%2C%27GTM+Readiness%27%2C%27GTM+Innovation%27%2C%27Growth%27%2C%27Developer+Experience%27%2C%27OpenAI+for+Gov%27%29%0A+++++++++++++or+lower%28title%29+like+%27%25account+executive%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25customer+success%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25solutions+architect%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25enterprise%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25partner%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25forward+deployed%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25gtm%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25business+development%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25sales%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25deployment%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25client+partner%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25sdr%25%27%0A+++++++++++++or+lower%28title%29+like+%27%25bdr%25%27%0A+++++++++++%29+then+%27enterprise_support%27%0A+++++++++++else+%27non_enterprise%27%0A+++++++++end+as+bucket%0A++from+ai_lab_jobs%0A++where+company+in+%28%27Anthropic%27%2C%27OpenAI%27%29%0A%29%0Aselect+company%2C%0A+++++++bucket%2C%0A+++++++count%28%2A%29+as+jobs%2C%0A+++++++round%28100.0+%2A+count%28%2A%29+%2F+sum%28count%28%2A%29%29+over+%28partition+by+company%29%2C+1%29+as+pct_of_company%0Afrom+classified%0Agroup+by+company%2C+bucket%0Aorder+by+company%2C+jobs+desc"
}HTML widget: sql_query
<div class="agent-sql-result-scroll"><table class="agent-sql-result"><thead><tr><th>company</th><th>bucket</th><th>jobs</th><th>pct_of_company</th></tr></thead><tbody><tr><td>Anthropic</td><td>non_enterprise</td><td>285</td><td>73.1</td></tr><tr><td>Anthropic</td><td>enterprise_support</td><td>105</td><td>26.9</td></tr><tr><td>OpenAI</td><td>non_enterprise</td><td>474</td><td>67.4</td></tr><tr><td>OpenAI</td><td>enterprise_support</td><td>229</td><td>32.6</td></tr></tbody></table></div>Tool call: sql_query
{
"database": "data",
"sql": "select company, team, department, count(*) as jobs\nfrom ai_lab_jobs\nwhere company='Anthropic'\nand (\n team='Sales' or department='Sales'\n or lower(title) like '%account executive%'\n or lower(title) like '%customer success%'\n or lower(title) like '%solutions architect%'\n or lower(title) like '%enterprise%'\n or lower(title) like '%partner%'\n or lower(title) like '%forward deployed%'\n or lower(title) like '%gtm%'\n or lower(title) like '%business development%'\n or lower(title) like '%sales%'\n)\ngroup by company, team, department\norder by jobs desc\nlimit 20",
"display": "model"
}{
"columns": [
"company",
"team",
"department",
"jobs"
],
"rows": [
{
"company": "Anthropic",
"team": "Sales",
"department": "Sales",
"jobs": 82
},
{
"company": "Anthropic",
"team": "Applied AI",
"department": "Applied AI",
"jobs": 7
},
{
"company": "Anthropic",
"team": "Finance",
"department": "Finance",
"jobs": 4
},
{
"company": "Anthropic",
"team": "Marketing & Brand",
"department": "Marketing & Brand",
"jobs": 3
},
{
"company": "Anthropic",
"team": "Legal",
"department": "Legal",
"jobs": 2
},
{
"company": "Anthropic",
"team": "AI Research & Engineering",
"department": "AI Research & Engineering",
"jobs": 1
},
{
"company": "Anthropic",
"team": "Communications",
"department": "Communications",
"jobs": 1
},
{
"company": "Anthropic",
"team": "Data Science & Analytics",
"department": "Data Science & Analytics",
"jobs": 1
},
{
"company": "Anthropic",
"team": "People",
"department": "People",
"jobs": 1
},
{
"company": "Anthropic",
"team": "Public Benefit",
"department": "Public Benefit",
"jobs": 1
},
{
"company": "Anthropic",
"team": "Public Policy",
"department": "Public Policy",
"jobs": 1
},
{
"company": "Anthropic",
"team": "Security",
"department": "Security",
"jobs": 1
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C+team%2C+department%2C+count%28%2A%29+as+jobs%0Afrom+ai_lab_jobs%0Awhere+company%3D%27Anthropic%27%0Aand+%28%0A++team%3D%27Sales%27+or+department%3D%27Sales%27%0A++or+lower%28title%29+like+%27%25account+executive%25%27%0A++or+lower%28title%29+like+%27%25customer+success%25%27%0A++or+lower%28title%29+like+%27%25solutions+architect%25%27%0A++or+lower%28title%29+like+%27%25enterprise%25%27%0A++or+lower%28title%29+like+%27%25partner%25%27%0A++or+lower%28title%29+like+%27%25forward+deployed%25%27%0A++or+lower%28title%29+like+%27%25gtm%25%27%0A++or+lower%28title%29+like+%27%25business+development%25%27%0A++or+lower%28title%29+like+%27%25sales%25%27%0A%29%0Agroup+by+company%2C+team%2C+department%0Aorder+by+jobs+desc%0Alimit+20"
}Tool call: sql_query
{
"database": "data",
"sql": "select company, team, department, count(*) as jobs\nfrom ai_lab_jobs\nwhere company='OpenAI'\nand (\n department='Go To Market'\n or department='Model Deployment for Business'\n or team in ('Technical Success','Sales','Go To Market','Ads Solutions','AI Success','Partnerships','Enablement','Revenue Operations','GTM Readiness','GTM Innovation','Growth','Developer Experience','OpenAI for Gov')\n or lower(title) like '%account executive%'\n or lower(title) like '%customer success%'\n or lower(title) like '%solutions architect%'\n or lower(title) like '%enterprise%'\n or lower(title) like '%partner%'\n or lower(title) like '%forward deployed%'\n or lower(title) like '%gtm%'\n or lower(title) like '%business development%'\n or lower(title) like '%sales%'\n or lower(title) like '%deployment%'\n or lower(title) like '%client partner%'\n or lower(title) like '%sdr%'\n or lower(title) like '%bdr%'\n)\ngroup by company, team, department\norder by jobs desc\nlimit 25",
"display": "model"
}{
"columns": [
"company",
"team",
"department",
"jobs"
],
"rows": [
{
"company": "OpenAI",
"team": "Technical Success",
"department": "Go To Market",
"jobs": 50
},
{
"company": "OpenAI",
"team": "Model Deployment for Business",
"department": "Model Deployment for Business",
"jobs": 33
},
{
"company": "OpenAI",
"team": "Sales",
"department": "Go To Market",
"jobs": 28
},
{
"company": "OpenAI",
"team": "Go To Market",
"department": "Go To Market",
"jobs": 26
},
{
"company": "OpenAI",
"team": "Ads Solutions",
"department": "Go To Market",
"jobs": 16
},
{
"company": "OpenAI",
"team": "AI Success",
"department": "Go To Market",
"jobs": 13
},
{
"company": "OpenAI",
"team": "OpenAI for Gov",
"department": "OpenAI for Gov",
"jobs": 8
},
{
"company": "OpenAI",
"team": "Finance",
"department": "Finance",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Marketing",
"department": "Marketing",
"jobs": 6
},
{
"company": "OpenAI",
"team": "Growth",
"department": "Go To Market",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Product Partnerships",
"department": "Product Partnerships",
"jobs": 5
},
{
"company": "OpenAI",
"team": "Developer Experience",
"department": "Go To Market",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Partnerships",
"department": "Go To Market",
"jobs": 4
},
{
"company": "OpenAI",
"team": "Datacenter Design",
"department": "Scaling",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Executive Operations",
"department": "Executive Operations",
"jobs": 3
},
{
"company": "OpenAI",
"team": "GTM Innovation",
"department": "Go To Market",
"jobs": 3
},
{
"company": "OpenAI",
"team": "Codex - Engineering",
"department": "Applied AI",
"jobs": 2
},
{
"company": "OpenAI",
"team": "GTM Readiness",
"department": "Go To Market",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Hardware",
"department": "Scaling",
"jobs": 2
},
{
"company": "OpenAI",
"team": "Applied AI Engineering",
"department": "Applied AI",
"jobs": 1
},
{
"company": "OpenAI",
"team": "B2B Applications",
"department": "Applied AI",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Enablement",
"department": "Go To Market",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Product Management",
"department": "Product Management",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Research Program Management",
"department": "Research",
"jobs": 1
},
{
"company": "OpenAI",
"team": "Revenue Operations",
"department": "Go To Market",
"jobs": 1
}
],
"truncated": false,
"_edit_sql_url": "/data/-/query?sql=select+company%2C+team%2C+department%2C+count%28%2A%29+as+jobs%0Afrom+ai_lab_jobs%0Awhere+company%3D%27OpenAI%27%0Aand+%28%0A++department%3D%27Go+To+Market%27%0A++or+department%3D%27Model+Deployment+for+Business%27%0A++or+team+in+%28%27Technical+Success%27%2C%27Sales%27%2C%27Go+To+Market%27%2C%27Ads+Solutions%27%2C%27AI+Success%27%2C%27Partnerships%27%2C%27Enablement%27%2C%27Revenue+Operations%27%2C%27GTM+Readiness%27%2C%27GTM+Innovation%27%2C%27Growth%27%2C%27Developer+Experience%27%2C%27OpenAI+for+Gov%27%29%0A++or+lower%28title%29+like+%27%25account+executive%25%27%0A++or+lower%28title%29+like+%27%25customer+success%25%27%0A++or+lower%28title%29+like+%27%25solutions+architect%25%27%0A++or+lower%28title%29+like+%27%25enterprise%25%27%0A++or+lower%28title%29+like+%27%25partner%25%27%0A++or+lower%28title%29+like+%27%25forward+deployed%25%27%0A++or+lower%28title%29+like+%27%25gtm%25%27%0A++or+lower%28title%29+like+%27%25business+development%25%27%0A++or+lower%28title%29+like+%27%25sales%25%27%0A++or+lower%28title%29+like+%27%25deployment%25%27%0A++or+lower%28title%29+like+%27%25client+partner%25%27%0A++or+lower%28title%29+like+%27%25sdr%25%27%0A++or+lower%28title%29+like+%27%25bdr%25%27%0A%29%0Agroup+by+company%2C+team%2C+department%0Aorder+by+jobs+desc%0Alimit+25"
}Yes — if the lens is “hires that support enterprise buildup” rather than only quota-carrying sales, then both companies are making meaningful enterprise-related hires, though those roles are still a minority of total hiring.
Using a broader enterprise-support bucket:
-
Anthropic enterprise-support hires: 105
-
Anthropic non-enterprise hires: 285
-
Enterprise-support share: 26.9%
-
OpenAI enterprise-support hires: 229
-
OpenAI non-enterprise hires: 474
-
Enterprise-support share: 32.6%
I included roles/orgs that help land, deploy, expand, or support large customers.
Counted as enterprise-support if they were in or clearly tied to:
- Sales
- titles containing:
- Account Executive
- Customer Success
- Solutions Architect
- Enterprise
- Partner
- Business Development
- GTM
- Forward Deployed
- Sales
Counted as enterprise-support if they were in or clearly tied to:
- Go To Market
- Model Deployment for Business
- teams such as:
- Technical Success
- Sales
- Go To Market
- Ads Solutions
- AI Success
- Partnerships
- Enablement
- Revenue Operations
- GTM Readiness
- GTM Innovation
- Growth
- Developer Experience
- OpenAI for Gov
- plus titles containing:
- Enterprise
- Partner
- Customer Success
- Sales
- Business Development
- Deployment
- Client Partner
- SDR / BDR
- Forward Deployed
The enterprise-support hiring is dominated by a classic sales org:
- Sales: 82 jobs
- plus smaller numbers in:
- Applied AI (solutions-architect / enterprise-tech type roles): 7
- Finance: 4
- Marketing & Brand: 3
- a few scattered roles in Legal, Communications, People, Public Benefit, etc.
The enterprise-support hiring is broader and more operational:
- Technical Success: 50
- Model Deployment for Business: 33
- Sales: 28
- Go To Market: 26
- Ads Solutions: 16
- AI Success: 13
- OpenAI for Gov: 8
- plus smaller numbers in Growth, Partnerships, Developer Experience, GTM Innovation, GTM Readiness, Revenue Ops, etc.
Anthropic’s enterprise buildup looks more like:
- build a direct enterprise sales force
- add customer success / solutions support around it
OpenAI’s enterprise buildup looks more like:
- build a full enterprise machine
- technical success
- deployment
- GTM ops
- partnerships
- sales development
- customer/account support
If you care about hires that support enterprise buildup, then yes: both Anthropic and OpenAI are making a substantial number of those hires. In the current postings, that’s about 27% of Anthropic roles and 33% of OpenAI roles.
But also:
Even with that broader definition, non-enterprise hiring still makes up most openings at both companies.
If you want, I can next produce a clean company-by-company breakdown of enterprise-support roles by function:
- direct sales
- customer success / technical success
- deployment / forward deployed
- partnerships
- GTM ops / enablement / marketing
That would make the comparison much sharper.