{ "results": [ { "id": "74fc56a82e6d6a5c95c72e796d92d561", "title": "Senior Buyer", "employer_name": "Blacksky Technology INC", "employer_slug": "blacksky", "location_text": "Tukwila, WA", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 95000, "salary_max": 110000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 95000, "base_salary_max": 110000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "espp" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-20T14:52:45.000Z", "apply_url": "https://boards.greenhouse.io/blacksky/jobs/8468802002?gh_jid=8468802002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Buyer Tukwila, WA Senior Buyer About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": 15, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": true, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "4e992563449b06da91ad7682e757cc4c", "title": "GTM Engineer", "employer_name": "Arena Group Hldgs INC", "employer_slug": "arena", "location_text": "Bay Area Remote", "country": "US", "employment_type": "contract", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 130000, "salary_max": 130000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 130000, "base_salary_max": 130000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [ "a16z" ], "posted_at": "2026-03-19T21:06:41.538Z", "apply_url": "https://jobs.ashbyhq.com/arena/a2b1c414-1666-485b-b4ad-a97f0a620d5d", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "GTM Engineer Bay Area Remote About Arena Intelligence Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 55, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "employer_industry": "Media", "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": "68f7b040c1d029aa32a6249b8c66b91d", "title": "Director of Partnerships", "employer_name": "Pagaya Technologies LTD", "employer_slug": "pagaya", "location_text": "New York, NY", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 200000, "salary_max": 200000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 200000, "base_salary_max": 200000, "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": "2026-03-19T20:47:24.000Z", "apply_url": "https://job-boards.greenhouse.io/pagaya/jobs/7672344003", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director of Partnerships New York, NY About Pagaya Shape the Future of Finance Pagaya is building a leading artificial intelligence network to help our partners grow their businesses and better", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 10, "years_experience_max": null, "role_function": "other", "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": "cc069c5bc493e8aa01ce5d9aa14baedf", "title": "Clinical Sales & Marketing Representative", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Stockton, California; Modesto, California; Santa Clara, California", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 75000, "salary_max": 85000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 75000, "base_salary_max": 85000, "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": "2026-03-19T18:05:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/18035/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Clinical Sales & Marketing Representative Stockton, California; Modesto, California; Santa Clara, California Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "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": "72fb8db43b5b16eda4ef389c7690d17f", "title": "Enterprise Customer Success Manager II", "employer_name": "BOX INC", "employer_slug": "boxinc", "location_text": "Redwood City, CA, United States, San Francisco, CA, United States", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 111000, "salary_max": 138500, "salary_currency": "USD", "salary_type": "ote", "salary_period": "year", "base_salary_min": 111000, "base_salary_max": 138500, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-19T16:34:03.000Z", "apply_url": "https://job-boards.greenhouse.io/boxinc/jobs/7724092", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Enterprise Customer Success Manager II Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "customer_success", "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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "3110d7f39d2df64f688f22f4b80b6c4b", "title": "PET/CT Technologist Nuclear Medicine", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Apache Junction, Arizona", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 50, "salary_max": 65, "salary_currency": "USD", "salary_type": "base", "salary_period": "hour", "base_salary_min": 50, "base_salary_max": 65, "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": "2026-03-19T15:11:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/18024/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "PET/CT Technologist Nuclear Medicine Apache Junction, Arizona Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Radiology Forward . With dynamic cross-training", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "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": "high_school", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "f8357f58594394186fd9919f64f3d1d6", "title": "CT Tech Trainee", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Santa Clara, California", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 30, "salary_max": 40, "salary_currency": "USD", "salary_type": "base", "salary_period": "hour", "base_salary_min": 30, "base_salary_max": 40, "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": "2026-03-18T22:05:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17983/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "CT Tech Trainee Santa Clara, California Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic cross-training", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "healthcare", "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": "2e2051c9d79c08f4ff7ddcd9be1664a5", "title": "Senior Field Marketing Manager, Enterprise", "employer_name": "BOX INC", "employer_slug": "boxinc", "location_text": "Redwood City, CA, United States, San Francisco, CA, United States", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 155500, "salary_max": 175000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 155500, "base_salary_max": 175000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-18T18:15:38.000Z", "apply_url": "https://job-boards.greenhouse.io/boxinc/jobs/7729214", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Field Marketing Manager, Enterprise Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 6, "years_experience_max": 9, "role_function": "marketing", "employer_industry": "Technology", "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": "040b2953e7a365ed10fb63a16bba329a", "title": "Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)", "employer_name": "YELP INC", "employer_slug": "uscareers-yelp-icims-com", "location_text": "San Francisco, CA, US; Austin, TX, US; Remote-Remote, UNAVAILABLE, US", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 112000, "salary_max": 269000, "salary_currency": "USD", "salary_type": "base_plus_commission", "salary_period": "year", "base_salary_min": 112000, "base_salary_max": 269000, "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": [], "posted_at": "2026-03-18T04:00:00.000Z", "apply_url": "https://uscareers-yelp.icims.com/jobs/13815/staff-machine-learning-engineer---content-and-contributor-intelligence-(remote---united-states)/job", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States) San Francisco, CA, US; Austin, TX, US; Remote-Remote, UNAVAILABLE, US Summary Yelp engineering culture is driven by", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [ "CA", "TX" ], "seniority": "mid", "years_experience_min": 8, "years_experience_max": 13, "role_function": "data", "employer_industry": "Media", "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": "44eb272c0774d3c01ca939ddecf9ebf7", "title": "Outreach Specialist I", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Florida, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 16, "salary_max": 20, "salary_currency": "USD", "salary_type": "base", "salary_period": "hour", "base_salary_min": 16, "base_salary_max": 20, "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": "2026-03-17T02:30:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17675/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Outreach Specialist I Florida, USA Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic cross-training and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "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": "high_school", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "18093a3f84ab732bea9c7dea8ad9c506", "title": "Regional Manager", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Mesa, Arizona", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 85000, "salary_max": 95000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 85000, "base_salary_max": 95000, "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": "2026-03-16T21:01:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17852/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Regional Manager Mesa, Arizona Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic cross-training and advancement", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "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": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "d3ac3cd23a63ca0fede058922f04556c", "title": "Patient Education Specialist", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "San Bernardino, California", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 22, "salary_max": 23, "salary_currency": "USD", "salary_type": "base", "salary_period": "hour", "base_salary_min": 22, "base_salary_max": 23, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-16T17:39:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17935/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Patient Education Specialist San Bernardino, California Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Radiology Forward . With dynamic cross-training and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 2, "years_experience_max": 6, "role_function": "healthcare", "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": "f559f84bedbad0202ac264dc5b0cf413", "title": "Senior Sales Operations Manager - Analytics & Intelligence", "employer_name": "Apollo.io", "employer_slug": "apolloio", "location_text": "Remote, United States", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 164000, "salary_max": 235000, "salary_currency": "USD", "salary_type": "ote", "salary_period": "year", "base_salary_min": 164000, "base_salary_max": 235000, "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": [ "yc" ], "posted_at": "2026-03-16T17:32:09.000Z", "apply_url": "https://job-boards.greenhouse.io/apolloio/jobs/5797937004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Sales Operations Manager - Analytics & Intelligence Remote, United States <div class=\"content-intro\"><p><a class=\"notion-link-token notion-focusable-token notion-enable-hover\" href=\"http://apollo.io/\" data-token-index=\"0\"><span class=\"link-annotation-7a57a4e3-9668-4c92-9fb1-a9318bf3a91b--723603012\">Apollo.io</span></a> is the leading go-to-market solution for revenue teams, trusted by over", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 55, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 10, "years_experience_max": 14, "role_function": "operations", "employer_industry": "Technology", "employer_size": "1001-5000", "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": "589b5a028310864c24ececb1a6d07268", "title": "GTM Strategy & Operations Manager - Analytics & Intelligence", "employer_name": "Apollo.io", "employer_slug": "apolloio", "location_text": "Remote, United States", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 138000, "salary_max": 199000, "salary_currency": "USD", "salary_type": "ote", "salary_period": "year", "base_salary_min": 138000, "base_salary_max": 199000, "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": [ "yc" ], "posted_at": "2026-03-16T17:32:09.000Z", "apply_url": "https://job-boards.greenhouse.io/apolloio/jobs/5762733004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "GTM Strategy & Operations Manager - Analytics & Intelligence Remote, United States <div class=\"content-intro\"><p><a class=\"notion-link-token notion-focusable-token notion-enable-hover\" href=\"http://apollo.io/\" data-token-index=\"0\"><span class=\"link-annotation-7a57a4e3-9668-4c92-9fb1-a9318bf3a91b--723603012\">Apollo.io</span></a> is the leading go-to-market solution for revenue teams, trusted by", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 55, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Technology", "employer_size": "1001-5000", "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": "e08723646388f812d9b4bc8096bfa1cf", "title": "IT Operations Field Specialist", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Los Angeles, California", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 25, "salary_max": 33, "salary_currency": "USD", "salary_type": "base", "salary_period": "hour", "base_salary_min": 25, "base_salary_max": 33, "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": "2026-03-16T17:31:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/16443/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "IT Operations Field Specialist Los Angeles, California Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "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": "a153cbe7f2ac55cf66176047160f4498", "title": "Senior Developer Relations Engineer", "employer_name": "BOX INC", "employer_slug": "boxinc", "location_text": "Redwood City, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 198500, "salary_max": 248000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 198500, "base_salary_max": 248000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-16T13:04:30.000Z", "apply_url": "https://job-boards.greenhouse.io/boxinc/jobs/7721528", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Developer Relations Engineer Redwood City, CA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 3, "years_experience_max": 10, "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": "6986e7c9ec9a96af84f2fd9b6523dbf1", "title": "Business Reporting Analyst", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "California, USA; Colorado, USA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 80000, "salary_max": 110000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 80000, "base_salary_max": 110000, "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": "2026-03-13T22:43:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17928/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Business Reporting Analyst California, USA; Colorado, USA Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Leading Radiology Forward. With dynamic cross-training", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "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": "6a7b436c7bb15c8526b51b9630e3048c", "title": "Mammography Training Director", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Owings Mills, Maryland", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 90000, "salary_max": 115000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 90000, "base_salary_max": 115000, "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": "2026-03-12T16:00:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17873/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Mammography Training Director Owings Mills, Maryland Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic cross-training", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "staff_plus", "years_experience_min": 10, "years_experience_max": 15, "role_function": "healthcare", "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": "high_school", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "4cebc2b64ad7891ff3f9da4ac1a527df", "title": "Intern (Patient Engagement)", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "New York, New York", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 16, "salary_max": 17, "salary_currency": "USD", "salary_type": "base", "salary_period": "hour", "base_salary_min": 16, "base_salary_max": 17, "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": "2026-03-11T19:25:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17862/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Intern (Patient Engagement) New York, New York Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "healthcare", "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": "522c418d98778631276d3064d71332d3", "title": "Sr. Machine Learning Engineer, Patient Health Intelligence", "employer_name": "Genedx Holdings CORP", "employer_slug": "genedx", "location_text": "Remote", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 190000, "salary_max": 210000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 190000, "base_salary_max": 210000, "salary_disclosed": true, "equity_included": true, "equity_type": [ "espp" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-03-11T17:42:49.000Z", "apply_url": "https://genedx.com/careers/openings?gh_jid=4672184005", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Machine Learning Engineer, Patient Health Intelligence Remote Summary We are seeking a Senior AI Engineer to design and build intelligent systems that transform how patients and clinicians interact with", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "employer_industry": "Healthcare", "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": "f123f37a57c49c9dc7ce584ddd308672", "title": "IT Operations Team Lead", "employer_name": "Radnet INC", "employer_slug": "www-icims-com", "location_text": "Riverside, California", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 70000, "salary_max": 79000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 70000, "base_salary_max": 79000, "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": "2026-03-09T14:23:00.000Z", "apply_url": "https://careers-radnet.icims.com/jobs/17807/login", "apply_url_verified": false, "ats": "icims", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "IT Operations Team Lead Riverside, California Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward . With dynamic cross-training", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "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": "6b58765b7ddc906222231621a607b11c", "title": "Solutions Architect", "employer_name": "BOX INC", "employer_slug": "boxinc", "location_text": "San Francisco or Redwood City, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 142000, "salary_max": 177000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 142000, "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": false, "top_startup_sources": [], "posted_at": "2026-03-09T01:31:09.000Z", "apply_url": "https://job-boards.greenhouse.io/boxinc/jobs/7675050", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Solutions Architect San Francisco or Redwood City, CA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 7, "years_experience_max": 7, "role_function": "customer_success", "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": "53dcb8e0bd18e9778317fdba6383e726", "title": "Fall 2026 Intern, Artificial Intelligence/Machine Learning", "employer_name": "Kodiak GAS Services INC", "employer_slug": "kodiak", "location_text": "Mountain View, CA", "country": "US", "employment_type": "internship", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 10000, "salary_max": 10000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 10000, "base_salary_max": 10000, "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": [], "posted_at": "2026-03-07T00:37:46.000Z", "apply_url": "https://job-boards.greenhouse.io/kodiak/jobs/4174469009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Fall 2026 Intern, Artificial Intelligence/Machine Learning Mountain View, CA Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "engineering", "employer_industry": "Energy", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "fbb181cf5812839d0453f54e3b0756c3", "title": "Sr Data Scientist - Commercial", "employer_name": "Hertz Global Hldgs INC", "employer_slug": "cx-1", "location_text": "GA, United States", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 105000, "salary_max": 105000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 105000, "base_salary_max": 105000, "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": "2026-03-06T00:00:00.000Z", "apply_url": "https://fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/38588", "apply_url_verified": false, "ats": "oraclecloud", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Data Scientist - Commercial GA, United States Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented Sr. Data Scientist to join a team that is responsible", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "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": "masters", "roll_up_count": null, "roll_up_total_locations": null } ], "total": 2202, "page": 76, "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": 76, "per_page": 24, "sort": "relevance" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default" }