{ "results": [ { "id": "a5bc884179265ee13b6b4f0a0866ca22", "title": "Manufacturing Business Intelligence Engineer", "employer_name": "Corning", "employer_slug": "cngprod", "location_text": "Location not specified", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-09T00:00:00.000Z", "apply_url": "https://career4.successfactors.com/career?company=CNGPROD&career_ns=job_listing_summary&resultType=XML", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manufacturing Business Intelligence Engineer Requisition Number: [[id]] The company built on breakthroughs. ​ Join us.​ Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": "https://www.corning.com/microsites/corp-comm/corning-reports/2023-reports/downloads/corning-2023-sustainability-report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": true, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "d6a99f04afd9604db2f317c9785434c1", "title": "Engineering Program Manager, Siri and Apple Intelligence Evaluation", "employer_name": "Apple", "employer_slug": "apple", "location_text": "Cupertino, United States of America", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-03-06T00:00:00.000Z", "apply_url": "https://jobs.apple.com/en-us/details/200649715/engineering-program-manager-siri-and-apple-intelligence-evaluation?team=MLAI", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Engineering Program Manager, Siri and Apple Intelligence Evaluation Cupertino, United States of America", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 80, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "0a5030be3a84acc13a1c72249fece7f9", "title": "Staff Machine Learning Engineer : Platform Intelligence - Apple Maps", "employer_name": "Apple", "employer_slug": "apple", "location_text": "Cupertino, United States of America", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-03-05T17:50:00.971Z", "apply_url": "https://jobs.apple.com/en-us/details/200649663/staff-machine-learning-engineer-platform-intelligence-apple-maps?team=MLAI", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Machine Learning Engineer : Platform Intelligence - Apple Maps Cupertino, United States of America", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 80, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 8, "years_experience_max": 13, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "fd471098fc5609a72a525ccf42130767", "title": "Principal AI Specialist Sales", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "SGP", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3196533/principal-ai-specialist-sales", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal AI Specialist Sales SGP Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 10, "years_experience_max": 15, "role_function": "sales", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": 2, "roll_up_total_locations": 1 }, { "id": "a2f12093ac35e4b9b0690c6124db3c54", "title": "Business Intel Engineer II, Strategy, Tool GTM, Enablement and Planning (STEP) Analytics - Ads", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3197010/business-intel-engineer-ii-strategy-tool-gtm-enablement-and-planning-step-analytics-ads", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intel Engineer II, Strategy, Tool GTM, Enablement and Planning (STEP) Analytics - Ads Bengaluru, Karnataka, IND Amazon.com strives to be Earth's most customer-centric company where people can find and", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": 2, "roll_up_total_locations": 1 }, { "id": "02523de790823d6861dc51fc7c1e2c5b", "title": "Senior AI Sales Specialist", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "SGP", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3196795/senior-ai-sales-specialist", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior AI Sales Specialist SGP Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon", "parental_leave_weeks": 20, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": 2, "roll_up_total_locations": 2 }, { "id": "8aa641852fb6f5649d2d02f777475d35", "title": "AI Data Associate - French, Artificial General Intelligence", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "London, England, GBR", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3196165/ai-data-associate-french-artificial-general-intelligence", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Data Associate - French, Artificial General Intelligence London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": 7, "roll_up_total_locations": 2 }, { "id": "345e59dbdce2a41fc856eb993a6f944d", "title": "Software Development Manager, ICON", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Dublin, IRL", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-04T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3195963/software-development-manager-icon", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Development Manager, ICON Dublin, IRL Do you want to ensure a delightful shopping experience for millions of Amazon.com (http://amazon.com/) customers everyday? The Intelligent Cloud Hosting (ICON) team is looking", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "35ba5c6901ccc0a7eaaddd0c987dccb6", "title": "Federal Defence Intelligence Lead - Canberra", "employer_name": "Microsoft", "employer_slug": "microsoft", "location_text": "Canberra, ACT, AU", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-03T05:11:15.000Z", "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556656920", "apply_url_verified": false, "ats": "microsoft_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Federal Defence Intelligence Lead - Canberra Canberra, ACT, AU", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "e03c22c1e6e5224c0bf055eafe9ab08f", "title": "Business Intelligence Engineer, Amazon", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-03T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3193922/business-intelligence-engineer-amazon", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer, Amazon Bengaluru, Karnataka, IND Are you passionate about building data-driven solutions to drive the profitability of the business? Are you excited about solving complex real world problems?", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": 2, "roll_up_total_locations": 1 }, { "id": "f5343edee86ccbe2662ae94699115de8", "title": "Senior Data Associate with German, Artificial General Intelligence", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "London, England, GBR", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-02T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3192981/senior-data-associate-with-german-artificial-general-intelligence", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Data Associate with German, Artificial General Intelligence London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "4c416191c1cd927120aea079e0b256bf", "title": "Sr Software Engineer, Mail Intelligence", "employer_name": "Apple", "employer_slug": "apple", "location_text": "San Diego, United States of America", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-02-28T01:30:14.812Z", "apply_url": "https://jobs.apple.com/en-us/details/200649225/sr-software-engineer-mail-intelligence?team=MLAI", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Software Engineer, Mail Intelligence San Diego, United States of America", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 80, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "aad1b5af05857ae5c42774f5a97772f4", "title": "Business Intelligence Engineer, CIS", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-27T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3191264/business-intelligence-engineer-cis", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer, CIS Bengaluru, Karnataka, IND Are you passionate about transforming complex data into actionable insights? Do you thrive on creating visualization solutions that drive business decisions? Amazon's Corporate", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "6d972f5b38e7fbe2e8d24cf9437a4466", "title": "Sr. Product Marketing Manager - Vaga prioritária para mulheres e pessoas negras, Alexa Brazil", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Sao Paulo, Sao Paulo, BRA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-27T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3191802/sr-product-marketing-manager-vaga-prioritaria-para-mulheres-e-pessoas-negras-alexa-brazil", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Product Marketing Manager - Vaga prioritária para mulheres e pessoas negras, Alexa Brazil Sao Paulo, Sao Paulo, BRA Are you passionate about cutting edge technologies such as artificial intelligence", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "marketing", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "b76cfe277b44a460749ae1ad9463a56b", "title": "Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team", "employer_name": "Microsoft", "employer_slug": "microsoft", "location_text": "London, England, GB, Zürich, ZH, CH", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-26T13:59:08.000Z", "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556803835", "apply_url_verified": false, "ats": "microsoft_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team London, England, GB, Zürich, ZH, CH", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": null, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": 2, "roll_up_total_locations": 2 }, { "id": "e99a27dec519eff6d4ad6103d55747ed", "title": "Principal Security Solutions Architect, AWS", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Sao Paulo, Sao Paulo, BRA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-26T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3190792/principal-security-solutions-architect-aws", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal Security Solutions Architect, AWS Sao Paulo, Sao Paulo, BRA Are you passionate about Cloud Security and Artificial Intelligence? Do you have a unique combination of deep technical knowledge, business", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 10, "years_experience_max": 15, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": 15, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "d6c2b9630d779d08ea0014d60ca967ba", "title": "Principal Infrastructure & Reliability Engineer", "employer_name": "Oracle", "employer_slug": "oracle", "location_text": "United States, US", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-02-26T00:00:00.000Z", "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/328742/", "apply_url_verified": false, "ats": "oracle_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal Infrastructure & Reliability Engineer United States, US Join Oracle's Health Data Intelligence (HDI) team as a Software Engineer 4, focused on Site Reliability Engineering for large-scale healthcare analytics platforms.", "parental_leave_weeks": 14, "non_birth_parent_leave_weeks": 14, "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 93, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 10, "years_experience_max": 15, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "cca8d4f0eeaefa44bfa7ad00498308c8", "title": "[Remote] Software Development Senior Manager", "employer_name": "Oracle", "employer_slug": "oracle", "location_text": "United States, US", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-02-26T00:00:00.000Z", "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/328738/", "apply_url_verified": false, "ats": "oracle_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "[Remote] Software Development Senior Manager United States, US Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data Intelligence. This team will focus on product", "parental_leave_weeks": 14, "non_birth_parent_leave_weeks": 14, "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 100, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "b0759f16f33fa917dd4b6248a8195b4a", "title": "Business Intel Engineer II, WW Stores IPAT - SWIFT", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-26T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3190205/business-intel-engineer-ii-ww-stores-ipat-swift", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intel Engineer II, WW Stores IPAT - SWIFT Bengaluru, Karnataka, IND Stores Worldwide Intelligence & Finance Technology (SWIFT) team is responsible for providing reporting, analytics and automation support to", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "fdfd044555052b4d83d28f4bd2e8ba7c", "title": "Sr. Applied Scientist, Amazon Books", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Madrid, Community of Madrid, ESP", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-25T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3189555/sr-applied-scientist-amazon-books", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Applied Scientist, Amazon Books Madrid, Community of Madrid, ESP Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems in Artificial Intelligence (AI), natural", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "04376c29f90771b8fa2f16753c3bcec6", "title": "Business Intel Engineer I, Japan Central Ops", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Tokyo, JPN", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-25T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3189002/business-intel-engineer-i-japan-central-ops", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intel Engineer I, Japan Central Ops Tokyo, JPN セントラルオペレーション（CO）は、Amazon Logistics のチームであり、ますます複雑化し拡大するラストマイル配送ネットワークの運用において、スケーラブルなソリューションを提供するため、新たなアプローチと働き方を追求しています。COは、ルート計画、スケジュール管理と予測、オンロード管理など、ラストマイル配送における重要なプロセスを担当し、これらのプロセスをスケーラブルな方法で継続的に変革していくというビジョンを持っています。 私たちは、チームに加わり、セントラルオペレーション（CO）内で使用されるプロセスとテクノロジーの改善を推進するビジネスインテリジェンスエンジニアを探しています。この候補者は、新しく、しばしば曖昧なチームにおいて、卓越した能力を発揮し、成長できる必要があります。採用された候補者は、大きな視点で考え、独創的なアイデアを生み出し、輸送チーム、ラストマイル技術チーム、オペレーション、ビジネス開発チームに直接影響を与え、協力することで、COのさらなる拡大に向けた戦略的アプローチを策定する責任を負います。 Central Operations (CO) is a team at Amazon Logistics that pursues new approaches and ways of working", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "entry", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "ce5d4bd60260a145fb6826ed53d13f96", "title": "Business Intelligence Engineer, Amazon Groceries", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "London, England, GBR", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-24T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3187815/business-intelligence-engineer-amazon-groceries", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer, Amazon Groceries London, England, GBR Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? Amazon Groceries is looking for", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": true, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "8dea3eec5caa07ee75f8c610e5cc46c6", "title": "Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-02-24T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3188156/support-engineer-intelligent-document-processing-cors-rapid-solutions", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions Bengaluru, Karnataka, IND We are seeking talented and innovative Support Engineer to join our team working at the intersection of", "parental_leave_weeks": 20, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 2, "years_experience_max": 7, "role_function": "customer_success", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": 2, "roll_up_total_locations": 1 }, { "id": "273802355a7ad27b960fe868afc1ef4f", "title": "Software Engineer, Apple Intelligence Model Platform", "employer_name": "Apple", "employer_slug": "apple", "location_text": "Cupertino, United States of America", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_currency": "USD", "salary_type": "unknown", "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-02-23T23:03:09.093Z", "apply_url": "https://jobs.apple.com/en-us/details/200622685/software-engineer-apple-intelligence-model-platform?team=SFTWR", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Apple Intelligence Model Platform Cupertino, United States of America", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 80, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null } ], "total": 2203, "page": 57, "per_page": 24, "applied_filters": { "q": "Intel", "quality_floor": "all", "match_401k_strict": false, "parental_strict": false, "non_birth_strict": false, "pto_strict": false, "include_older": false, "page": 57, "per_page": 24, "sort": "relevance" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "all" }