{ "results": [ { "id": "b3b77b7a97d28dfe23d0263abf035fdc", "title": "Applied Scientist, Amazon Prime, Prime AI/ML Science", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 136000, "salary_max": 184000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 136000, "base_salary_max": 184000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-16T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10393469/applied-scientist-amazon-prime-prime-ai-ml-science", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist, Amazon Prime, Prime AI/ML Science Seattle, Washington, USA Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with", "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": 81, "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": 65, "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": "aa2fe96ad93c9da0350e2277cda11f4e", "title": "Senior Product Marketing Manager, Tablet", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142800, "salary_max": 193200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": "yes", "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-04-16T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10394160/senior-product-marketing-manager-tablet", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Product Marketing Manager, Tablet Seattle, Washington, USA The world is being reshaped by artificial intelligence. Customer behaviors are evolving rapidly as AI becomes embedded in everyday experiences—changing how people", "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": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 6, "years_experience_max": 9, "role_function": "marketing", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "45ec3335e919be74c8646ffefd2e7db5", "title": "Sr. Intelligence Management Specialist", "employer_name": "Leidos", "employer_slug": "leidos", "location_text": "Honolulu, HI", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 92300, "salary_max": 166850, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 92300, "base_salary_max": 166850, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-16T00:00:00.000Z", "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/Honolulu-HI/Sr-Intelligence-Management-Specialist_R-00181000", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Intelligence Management Specialist Honolulu, HI Sr. Intelligence Management Specialist /job/Honolulu-HI/Sr-Intelligence-Management-Specialist_R-00181000 Honolulu, HI Posted 20 Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 12, "years_experience_max": 12, "role_function": "operations", "employer_industry": "Defense", "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": "sci", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "42553a1f19f7f257f8b5c43bb90856ec", "title": "Account Manager, Frontier AI Startups, Frontier AI Startups", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "New York, New York, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 101600, "salary_max": 177800, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 101600, "base_salary_max": 177800, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-16T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10393959/account-manager-frontier-ai-startups-frontier-ai-startups", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Account Manager, Frontier AI Startups, Frontier AI Startups New York, New York, USA Are you interested in helping to shape the era of Artificial Intelligence (AI)? AI is transforming entire", "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": 81, "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": 65, "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": "e60deaa491e5cade81f149b487fd44db", "title": "BI Analyst, Finance, Finance Data and Analytics", "employer_name": "Google", "employer_slug": "google", "location_text": "Chicago, IL, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 124000, "salary_max": 177000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 124000, "base_salary_max": 177000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-04-15T14:02:51.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckep2WxHbmw7aww0MltEmzSBBXcHp4AFdQ7w8KgcHkFt6EjsACxwdTG1jLvkvCYqNE22i9QrCFfWgqfUTuQqF-Y_HIBM3yc_R49deRj1BKMqLRLY_9OfXr7sfBV8a0Q%3D%3D_V2&loc=US&title=BI+Analyst", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "BI Analyst, Finance, Finance Data and Analytics Chicago, IL, USA At Google, data drives all of our decision-making. As part of the Finance Business Intelligence team, you will use data", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 4, "years_experience_max": 8, "role_function": "finance", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "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": "8c6b36e72e7c958ecb9e670ac19dd623", "title": "Product Quality Engineer, GPU Platforms, Hardware Quality and Reliability", "employer_name": "Google", "employer_slug": "google", "location_text": "Sunnyvale, CA, USA", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 120000, "salary_max": 172000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 120000, "base_salary_max": 172000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-04-15T07:00:52.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZGsXsOCragQ28znra2_bpXWSSO-Wm9YcAQh5q3lZPGlEjsACxwdTAWsNM_8Z9M9GoUkZOYrB9E03Gwc0d4bGEtLOC0vfDfeRdhoDtIoJk1szqUOqxzOGQto35VTzQ%3D%3D_V2&loc=US&title=Product+Quality+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Quality Engineer, GPU Platforms, Hardware Quality and Reliability Sunnyvale, CA, USA Google's Cloud infrastructure is one of the world's most advanced compute, network, and Artificial Intelligence (AI) platforms, providing", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": 25, "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": "d3bdb41331352b26e5c2d7a0b178f75e", "title": "Applied Scientist, Agentic Automated Reasoning Group", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Austin, Texas, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142800, "salary_max": 193200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-15T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10393221/applied-scientist-agentic-automated-reasoning-group", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist, Agentic Automated Reasoning Group Austin, Texas, USA The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational", "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": 81, "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": 65, "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": "7845b03be92c1ad7a48c6fbcea005001", "title": "Applied Scientist II, EC2 Core Platform", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142800, "salary_max": 193200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-15T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10393291/applied-scientist-ii-ec2-core-platform", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist II, EC2 Core Platform Seattle, Washington, USA Join the EC2 Capacity Intelligence Science Team in improving customer experience and capacity utilization by inventing and implementing scientific solutions directly", "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": 81, "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": 65, "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": "6656004dbce645820d9f58962237b4aa", "title": "Business Intel Engineer, WW Promotions and Events Data and Insights", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Vancouver, British Columbia, CAN", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 76400, "salary_max": 127600, "salary_currency": "CAD", "salary_type": "base", "salary_period": "year", "base_salary_min": 76400, "base_salary_max": 127600, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu", "profit_share" ], "k401_match": "unknown", "match_401k_pct": null, "profit_sharing": true, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-04-15T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10392992/business-intel-engineer-ww-promotions-and-events-data-and-insights", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intel Engineer, WW Promotions and Events Data and Insights Vancouver, British Columbia, CAN Are you looking for a role where you have the opportunity to shape Amazon’s Promotions using", "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": 81, "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": 65, "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": "62ccfdb00e88cbb109f19951f9172e36", "title": "Applied Scientist, AGI Customization Services", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Cambridge, Massachusetts, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142800, "salary_max": 193200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-15T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10393389/applied-scientist-agi-customization-services", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist, AGI Customization Services Cambridge, Massachusetts, USA The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization", "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": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 30, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "5e2419095dc0877f0e56d56fbae49ed6", "title": "Intern - Economics, Private Brands Intelligence", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "New York, New York, USA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142100, "salary_max": 192200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142100, "base_salary_max": 192200, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-15T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10392772/intern-economics-private-brands-intelligence", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Intern - Economics, Private Brands Intelligence New York, New York, USA We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply their macroeconomics", "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": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "0f81219e52db930e3f97a69081ec953c", "title": "Manager, Fraud Intelligence", "employer_name": "Airbnb", "employer_slug": "airbnb", "location_text": "United States", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 150000, "salary_max": 185000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 150000, "base_salary_max": 185000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "a16z", "sequoia", "foundersfund", "generalcatalyst" ], "posted_at": "2026-04-14T23:51:06.000Z", "apply_url": "https://careers.airbnb.com/positions/7793861?gh_jid=7793861", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manager, Fraud Intelligence United States Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts", "parental_leave_weeks": 10, "non_birth_parent_leave_weeks": 10, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 92, "benefit_verified": true, "benefit_last_verified": "2024", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "d2a90d9a0ff219ec6f694571bb6685ca", "title": "Sr. Product Manager - AI, Sub Same Day", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 152200, "salary_max": 206000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 152200, "base_salary_max": 206000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-14T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10391759/sr-product-manager-ai-sub-same-day", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Product Manager - AI, Sub Same Day Bellevue, Washington, USA We're seeking a strategic and innovative AI Product Manager to drive the development and implementation of artificial intelligence solutions", "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": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "product", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "5f1a30704864098d184cfd91b08d1402", "title": "Software Development Engineer II, PXT Connections CODEX", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 143700, "salary_max": 194400, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 143700, "base_salary_max": 194400, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-14T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10391629/software-development-engineer-ii-pxt-connections-codex", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Development Engineer II, PXT Connections CODEX Seattle, Washington, USA Build the intelligent systems that transform employee feedback into actionable insights, powering Amazon's journey to become Earth's Best Employer. We're", "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": 81, "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": 65, "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": "2416af8ac03efe89008f9085f2cff951", "title": "Senior Yield Development Engineer - Intel Foundry", "employer_name": "Intel", "employer_slug": "intel", "location_text": "2 Locations", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 133800, "salary_max": 255200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 133800, "base_salary_max": 255200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-14T00:00:00.000Z", "apply_url": "https://intel.wd1.myworkdayjobs.com/External/job/US-Oregon-Hillsboro/Senior-Yield-Development-Engineer---Intel-Foundry_JR0282073-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Yield Development Engineer - Intel Foundry 2 Locations Senior Yield Development Engineer - Intel Foundry /job/US-Oregon-Hillsboro/Senior-Yield-Development-Engineer---Intel-Foundry_JR0282073-1 2 Locations Posted 22 Days Ago", "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": 3, "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": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "076ec2fd322d1d3fd049154a27aae474", "title": "2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142800, "salary_max": 193200, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-14T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10391901/2026-fall-applied-science-internship-computer-vision-united-states-phd-student-science-recruiting", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting Seattle, Washington, USA Shape the Future of Visual Intelligence Are you passionate about pushing the", "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": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "data", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "9957ccd176c36384098f4acc30fe7986", "title": "Looker Sales Specialist, Google Cloud", "employer_name": "Google", "employer_slug": "google", "location_text": "Connecticut, USA; +2 more", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 138000, "salary_max": 200000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 138000, "base_salary_max": 200000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-04-13T12:31:47.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckdhYUe6ikxuJ5GPTuGnzJiqIo5DvMuVV0dzOp6h1yuRnEjsACxwdTHx1N8IgOSbG5dosyo6DL-c_yzKnI3yUzzpE94ZtzUfgHwEJKZibXqvEw3KUvvnMB5KTdEdr2A%3D%3D_V2&loc=US&title=Looker+Sales+Specialist", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Looker Sales Specialist, Google Cloud Connecticut, USA; +2 more As a Looker Sales Specialist, you will help us grow our Business Intelligence (BI) business by building and expanding relationships with", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 10, "years_experience_max": 14, "role_function": "sales", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "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": "daa7973c0b632921452758cc13dd8d82", "title": "Program Manager, AI/ML, Finance Data and Analytics", "employer_name": "Google", "employer_slug": "google", "location_text": "Chicago, IL, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 148000, "salary_max": 215000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 148000, "base_salary_max": 215000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia", "builtin_bestplaces" ], "posted_at": "2026-04-13T10:00:54.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckV4qgAKNNdx5Kc1vDrQeoWo_TYRDzGq_a0Ugaos1C9HbEjoACxwdTETJNOJN__V4lPKQToRRiuJVbd7xJ-4pbAJc5vm3RxlQKm8evoMglnyaFBwXgWaWozhEaifI_V2&loc=US&title=Program+Manager", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Program Manager, AI/ML, Finance Data and Analytics Chicago, IL, USA At Google, data drives all of our decision-making. As part of the Finance Business Intelligence team, you will use data", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 7, "years_experience_max": 11, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "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": "f9eeea49c6ded41afc8cc2b1f3edb500", "title": "Leader, Sales -Splunk Federal - INTEL/NATSEC", "employer_name": "Cisco", "employer_slug": "cisco", "location_text": "3 Locations", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 324400, "salary_max": 435400, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 324400, "base_salary_max": 435400, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-04-13T00:00:00.000Z", "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Remote---Virginia-USA/Leader--Sales--Splunk-Federal---INTEL-NATSEC_2011733", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Leader, Sales -Splunk Federal - INTEL/NATSEC 3 Locations The application window is expected to close on: 05/15/2026 Job posting may be removed earlier if the position is filled or if", "parental_leave_weeks": 13, "non_birth_parent_leave_weeks": 13, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 8, "years_experience_max": 8, "role_function": "sales", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": 50, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "top_secret", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "e5090939d00cad820ab6eafebb6b754b", "title": "Agentic Process Consultant", "employer_name": "Salesforce", "employer_slug": "salesforce", "location_text": "Illinois - Chicago; Utah - Remote", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 148190, "salary_max": 269080, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 148190, "base_salary_max": 269080, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "builtin_bestplaces" ], "posted_at": "2026-04-13T00:00:00.000Z", "apply_url": "https://careers.salesforce.com/en/jobs/jr337198/agentic-process-consultant/", "apply_url_verified": true, "ats": "phenom_umbraco", "url_last_checked_alive": "2026-05-07T19:50:05.654Z", "removed_at": null, "description_excerpt": "Agentic Process Consultant Illinois - Chicago; Utah - Remote Agentic Business Consultant, Agentforce Process Automation The Agentic Process Automation and Intelligence Consultant is the primary strategic driver for go-to-market motion", "parental_leave_weeks": 26, "non_birth_parent_leave_weeks": 12, "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "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": "mid", "years_experience_min": 6, "years_experience_max": 10, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "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": "d12d97f4c88ca047ad396faf39b30479", "title": "Business Intelligence Engineer II, Amazon Key", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 99500, "salary_max": 160000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 99500, "base_salary_max": 160000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-13T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10389765/business-intelligence-engineer-ii-amazon-key", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Intelligence Engineer II, Amazon Key Bellevue, Washington, USA Amazon Key solve for access and critical security challenges with simple, smart solutions for ensuring delivery of packages to our customers.", "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": 81, "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": 65, "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": "b0bf9f9928901ddfbc02b01ad0c38a17", "title": "Automation AMHS Equipment Engineer", "employer_name": "Intel", "employer_slug": "intel", "location_text": "US, New Mexico, Albuquerque", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 111030, "salary_max": 181940, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 111030, "base_salary_max": 181940, "salary_disclosed": true, "equity_included": true, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [], "posted_at": "2026-04-13T00:00:00.000Z", "apply_url": "https://intel.wd1.myworkdayjobs.com/External/job/US-New-Mexico-Albuquerque/Automation-AMHS-Equipment-Engineer_JR0282887-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Automation AMHS Equipment Engineer US, New Mexico, Albuquerque Automation AMHS Equipment Engineer /job/US-New-Mexico-Albuquerque/Automation-AMHS-Equipment-Engineer_JR0282887-1 US, New Mexico, Albuquerque Posted 23 Days Ago", "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": "mid", "years_experience_min": 1, "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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "4da831445761053faaa382eef639860e", "title": "Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 73600, "salary_max": 128800, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 73600, "base_salary_max": 128800, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-04-13T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10390359/senior-financial-analyst-aws-competitive-intelligence-sales-analytics", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics Seattle, Washington, USA Amazon Web Services (AWS) is a leading global cloud computing platform, and we're looking for a Senior Financial", "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": 81, "benefit_verified": true, "benefit_last_verified": "2023", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 10, "role_function": "finance", "employer_industry": "Retail", "employer_size": "5000+", "quality_score": 65, "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": "0d72ae2f95a140665e15951fe602017c", "title": "Director, Sales - Splunk Federal INTEL/Defense", "employer_name": "Cisco", "employer_slug": "cisco", "location_text": "3 Locations", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 396000, "salary_max": 500000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 396000, "base_salary_max": 500000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "rsu" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": true, "top_startup_sources": [ "sequoia" ], "posted_at": "2026-04-13T00:00:00.000Z", "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/McLean-Virginia-US/Director--Sales---Splunk-Federal-INTEL-Defense_2011124", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director, Sales - Splunk Federal INTEL/Defense 3 Locations The application window is expected to close on: 05/15/2026 Job posting may be removed earlier if the position is filled or if", "parental_leave_weeks": 13, "non_birth_parent_leave_weeks": 13, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "benefit_verified": true, "benefit_last_verified": "unknown", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": null, "role_function": "sales", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 65, "travel_pct": 50, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "top_secret", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null } ], "total": 2212, "page": 7, "per_page": 24, "applied_filters": { "q": "Intel", "quality_floor": "default", "match_401k_strict": false, "parental_strict": false, "non_birth_strict": false, "pto_strict": false, "include_older": false, "page": 7, "per_page": 24, "sort": "relevance" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default" }