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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity We are seeking a Financial Planning & Analysis Manager to join the Finance team. In this role, you will drive core corporate finance processes and be a key partner to fast-growing business units and complex customer programs. This is an opportunity to help shape the next phase of the FP&A function at SandboxAQ, with broad scope and meaningful impact in a category-defining company. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The AI Sim R&D team creates leading edge ML and physics-based models (\"LQMs\") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Research Scientist focusing on Co-Folding & Affinity, you will contribute to building SandboxAQ's next generation of structure prediction and binding affinity models. Working alongside a high-performing team of scientists and engineers, you will help advance the state-of-the-art in protein-ligand co-folding, translating cutting-edge research into scalable workflows that power our drug discovery software. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The Catalysis team develops and validates new catalyst technologies for complex industrial applications, with a focus on high-purity chemical production, emissions treatment, and advanced sensing. The team brings together computational modeling, machine learning, experimental validation, and cross-functional collaboration to accelerate how promising catalyst concepts move from discovery to real-world use. Introduction to the role: We are seeking a Senior Program Manager to lead the execution of our catalysis validation programs from planning through delivery. In this role, you will drive the operating cadence for experimental campaigns, coordinate work across computational scientists, data and machine learning teams, and external", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "2408fd00835543c6c2135f4554dc0e5c", "title": "Staff Research Scientist, Catalyst Simulation", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-03T16:10:33.658Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/8f30ddc8-6ab9-4f8a-a267-8309523a1f20", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Research Scientist, Catalyst Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The Catalysis team develops and validates new catalyst technologies for complex industrial applications, with a focus on high-purity chemical production, emissions treatment, and advanced sensing. The team brings together computational modeling, machine learning, experimental validation, and cross-functional collaboration to accelerate how promising catalyst concepts move from discovery to real-world use. Introduction to the role: The Catalysis team is looking for a Staff Research Scientist, Catalyst Simulation to lead the translation of reaction energetics derived from atomistic simulations and machine learning potentials into process-scale predictions that advanced manufacturing facilities, OEMs, and chemical manufacturers can act on. This person", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "09d39e812303fcc65d5f8ad58f07cbf1", "title": "Technical Program Manager, Chemical Simulation / Semiconductors", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-02T20:25:25.232Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/52fc4f20-03ed-47db-890e-ba0d7742abe8", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technical Program Manager, Chemical Simulation / Semiconductors United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The AI Simulation (AISim) Business Unit is deploying our internal platform and Large Quantitative Models across critical semiconductor material verticals. The Operations function is the execution backbone of the BU, keeping a multi-vertical program on track across science, engineering, partnerships, and reporting. Introduction to the role: We are seeking a Technical Program Manager to serve as a cross-functional operational leader across a portfolio of technical programs. This is a unique opportunity to partner with highly-specialized and talented scientific and engineering teams within the semiconductor material development space. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity We are seeking a Director of Corporate Development and Strategic Partner Management to help shape SandboxAQ's next phase of growth. This role sits at the intersection of corporate development, strategic partnerships, market analysis, and cross-functional business leadership. The ideal candidate will lead evaluation and execution of mergers and acquisitions, investment and corporate development opportunities, and key commercial partnerships, while helping the company translate emerging product and market opportunities into scalable business plans and durable strategic relationships. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity AQMed is developing a next-generation, non-invasive cardiac diagnostic platform designed to revolutionize how heart health is assessed. The team operates at the intersection of regulated medical device development and fast-paced startup innovation, with a strong emphasis on quality, scientific rigor, and patient safety. We are seeking a Manager of Clinical Research who will own and accelerate AQMed's clinical program. You will inherit a meaningful foundation - established processes and early clinical work already underway - and take it to the next level. You will drive execution of a multi-geography clinical program from feasibility to pivotal studies, working alongside", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "1d0f0800beb627252c7c7c245e49d172", "title": "Research Scientist, Catalyst Simulation", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-29T21:04:33.306Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/80fc1cc6-1bdf-459a-b950-e2ce378687d0", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Scientist, Catalyst Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity As a Research Scientist on our Computational Catalysis team, you will join a dedicated team of subject matter experts, computational scientists, software developers, and machine learning experts, leveraging an ensemble of state-of-the-art proprietary computational tools to solve real-world challenges. In this flexible role, you will be responsible for supporting one or more of the following core focus areas: - Developing large-scale DFT datasets and machine learning potentials for heterogeneous catalysis. - Supporting the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials at atomic, mesoscale, and continuum scales. - Supporting heterogeneous catalyst discovery and optimization projects with", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "191ac4f65af633c92eb27e0825a21ce9", "title": "Senior Scientific Software Engineer, AI Simulation", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-27T23:37:28.072Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/cf07e2b5-3446-4bbc-8b96-5e3263babfd0", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Scientific Software Engineer, AI Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Our team is seeking a Software Engineer to contribute to the development of computational chemistry tools, and bridge the gap from R&D prototypes to stable, well-test, production-ready implementations. As we continue to expand our portfolio of capabilities - spanning physics-based simulations, large-scale data and knowledge graphs, machine learning, and massively parallel computing - we require reliable and efficient software to drive it. We are looking for an experienced engineer who can enhance our team's work through the creation of clean software and collaboration with a team of computational chemists, physicists, AI experts, and software engineers. This should be founded in", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "b75f0bd2854244700d7a256f63ecf781", "title": "Senior Machine Learning Engineer, AI Generation Engine", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "Canada", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": 15, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-27T16:55:40.647Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/aea461ca-a51d-476e-8e10-9226fc8b1284", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Machine Learning Engineer, AI Generation Engine Canada About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to):", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": true, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "87cf20c2e5df5ec62d59ae1839acc47e", "title": "Staff Machine Learning Engineer, AI Generation Engine", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "Canada", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-27T16:50:19.866Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/54e2b57a-50dd-4e9a-beed-81ec2abcc9fa", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Machine Learning Engineer, AI Generation Engine Canada About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ's Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "e6273bf74641e4b62497d7b35beb96ce", "title": "Director of Product Management, AI Generation Engine", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "Canada", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-27T16:33:16.454Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/a5897e7a-5453-4098-a16e-d8566a2c1992", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director of Product Management, AI Generation Engine Canada About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About the Team The SandboxAQ AI Generation Engine (SAIGE) team's mission is to accelerate SandboxAQ's mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our top", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "9405ffcc40e767319e4976f64293f598", "title": "Senior Staff Software Engineer, Medical Devices", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-26T19:37:01.459Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/a0140ea3-59b1-48b5-aaef-dfb6ba5cabdb", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Staff Software Engineer, Medical Devices United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity AQMed is developing a next-generation, non-invasive cardiac diagnostic platform designed to revolutionize how heart health is assessed. The team operates at the intersection of regulated medical device development and fast-paced startup innovation, with a strong emphasis on quality, scientific rigor, and patient safety. We are seeking a Senior Staff Software Engineer to serve as the Technical Lead for our medical device software platform. In this role, you will own the software architecture that powers our device-from embedded Linux to the cloud. Your architectural decisions will keep the platform safe, maintainable, and extensible as our product evolves. You will be raising", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "9033c4fedcd0a10aae81a22356cebe80", "title": "Product Research Scientist, Drug Discovery", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-15T21:28:55.493Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/43f320bc-ea95-4c97-a591-9c60368b9d53", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Research Scientist, Drug Discovery United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation group partners with global research teams to discover new drugs and materials using AI and physics-based computational solutions. Our team's unique approach enables cross-pollination across diverse fields, from physics, computer science, neuroscience, mathematics, and natural sciences, yielding breakthrough AI + Quantum solutions. The AI Simulation team is looking for a Product Research Scientist to join our team. This role is central to our efforts to drive the translation of internal drug discovery research software, specifically from our ML and Computational Chemistry teams, into external-facing, production-ready product offerings. This person will partner directly with researchers to understand scientific code", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "12795b7ad4537c5e91f66c5a51a663cd", "title": "Data Engineer, AQNav", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-05T16:20:47.968Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/d6c35351-f824-44ff-96d1-29c7000ffaf6", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Engineer, AQNav United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most. The AQNav team is looking for a highly-accomplished Data Engineer to help take us to the next level. This role is that role you always wanted, to be able to work on cutting-edge technology. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity We are seeking a VP of Operations to serve as the operational architect for our AI Simulation business unit at SandboxAQ. This is a role for a Builder-Operator to drive rigorous processes and deliver transformative impact by scaling operational infrastructure, developing innovative capacity planning, and navigating complex data-oriented processes all through high EQ influential team leadership. In this role, you will be the operational engine propelling two of our most ambitious divisions centralized under AI Simulation: BioSim (Drug Discovery) and ChemSim (Materials Science). This is a role for a specialist in scaled execution. The ideal candidate is deeply tactical and data-oriented", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "operations", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "65fa9dd4bc75d620ce4113dac8b0a5cc", "title": "Staff Forward Deployed Engineer, AQNav", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-27T15:48:21.537Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/24f6e875-5e3f-4601-8a6e-74ee542c3cb5", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Forward Deployed Engineer, AQNav United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most. The AQNav team is looking for a Senior Forward Deployed Engineer to join our team. This role is central to our efforts to own the technical reality of how AQNav performs in the field and to serve as the primary bridge between operational users and our product,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": 30, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "d71a56560d83feaa89ea989d79d5e35d", "title": "Sr. Staff Technical Product Manager, Life Sciences", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-09T16:42:19.803Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/331b87b1-2e55-4f08-be95-a48e762475ca", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Staff Technical Product Manager, Life Sciences United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Product Manager to join this team to accelerate productization of scientific innovations and drive product-led growth. A Product Manager at SandboxAQ defines and owns the delivery of technically complex product capabilities. This role involves (1) translating scientific user needs from researchers, clinicians, translational teams, medical affairs,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "09767170f99a083cc7e20b374c58d766", "title": "Staff Technical Product Manager, Life Sciences", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-09T16:42:15.833Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/dcc27ae7-1e20-4867-8ba6-01ffa43a4ec0", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Technical Product Manager, Life Sciences United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Product Manager to join this team to accelerate productization of scientific innovations and drive product-led growth. A Product Manager at SandboxAQ defines and owns the delivery of technically complex product capabilities. This role involves (1) translating scientific user needs from researchers, clinicians, translational teams, medical affairs, and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "bc4130385324efbdda9e96174c884e27", "title": "Staff ML Research Scientist, Co-Folding and Affinity", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-27T18:02:55.873Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/78155a73-441f-497c-8133-bf0cfdb04e35", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff ML Research Scientist, Co-Folding and Affinity United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The AI Sim R&D team creates leading edge ML and physics-based models (\"LQMs\") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Staff ML Research Scientist focusing on Co-Folding & Affinity, you will occupy a senior position architecting our ML biopharma capabilities. Your central purpose is to redefine the state-of-the-art in structure prediction and binding affinity, transforming these breakthroughs into core components of our software suite. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity This residency is part of the AQNav Team, which is responsible for the design, development, and operation of novel navigational methods using GNSS alternatives. As a Geospatial Analyst Resident, you will conduct cutting-edge research in geospatial data integrity and its impact on navigation systems. This position is targeted toward students currently enrolled in a graduate program who are available for 6 months of part-time (at least 20 hours) or full-time work. The expected start date is Summer 2026, though earlier availability will be considered. The position is remote within the United States with periodic travel to our office in Palo Alto, California. 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The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation team develops novel drugs and materials by integrating AI and physics-based computational solutions. Our AQBioSim group seeks a computational chemist who will not only apply cutting-edge methodologies but also critically assess and refine computational approaches. This individual will challenge assumptions, ask \"why\" when interpreting results, and ensure the reliability and accuracy of findings rather than blindly trusting outputs. This UK-based role will drive innovation by combining quantum, AI, and physics-based methods-such as molecular dynamics and active learning free energy perturbation-to advance drug discovery. Working within a highly skilled and multidisciplinary team, including drug hunters with a strong", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "other", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "e584ca381fa8d1fb0d50ae7b3ffd79e1", "title": "Staff Forward Deployed Engineer, AI Simulation", "employer_name": "SandboxAQ", "employer_slug": "sandboxaq", "location_text": "United States", "country": "US", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-02-10T18:15:38.453Z", "apply_url": "https://jobs.ashbyhq.com/sandboxaq/50eedb30-b81e-4ee7-b3e7-2980ea74153d", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Forward Deployed Engineer, AI Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity As a Staff Forward Deployed Engineer (FDE) within our AI Simulation group, you will act as the primary technical bridge between our core Large Quantitative Models (LQMs) and our most ambitious client contracts. This is a high-agency \"builder\" role designed for a resourceful generalist who thrives on autonomy and is passionate about tackling the hardest challenges in drug discovery and chemical simulation. You will be embedded directly with scientific delivery teams, operating at the frontiers of knowledge where fundamental research converges with practical, real-world impact. Your central purpose is to ensure the technical enablement and success of our most critical", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] } ], "json_ld": [ { "@context": "https://schema.org", "@type": "Organization", "name": "SandboxAQ", "url": "https://fewerjobs.com/employers/sandboxaq", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "SandboxAQ open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/sandboxaq/fp-and-a-manager-9948ea28", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "FP&A Manager", "description": "

FP&A Manager at SandboxAQ - United States - FP&A Manager United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity We are seeking a Financial Planning & Analysis Manager to join the Finance team. In this role, you will drive core corporate finance processes and be a key partner to fast-growing business units and complex customer programs. This is an opportunity to help shape the next phase of the FP&A function at SandboxAQ, with broad scope and meaningful impact in a category-defining company. Key Responsibilities - Partner with Business Unit leaders, Operations, GTM, Accounting, and Legal to support decision making and translate strategic priorities, resource needs, customer commitments and program milestones into annual operational plans, detailed budgets, revenue commitments and financial forecasts. - Day-to-day

", "datePosted": "2026-06-11T19:27:17.932Z", "employmentType": "CONTRACTOR", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "9948ea283fc73c7594e02510b6cc25b0" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/sandboxaq/fp-and-a-manager-9948ea28" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/sandboxaq/ml-research-scientist-co-folding-and-affinity-ec8c195e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "ML Research Scientist, Co-Folding and Affinity", "description": "

ML Research Scientist, Co-Folding and Affinity at SandboxAQ - United States - ML Research Scientist, Co-Folding and Affinity United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Research Scientist focusing on Co-Folding & Affinity, you will contribute to building SandboxAQ's next generation of structure prediction and binding affinity models. Working alongside a high-performing team of scientists and engineers, you will help advance the state-of-the-art in protein-ligand co-folding, translating cutting-edge research into scalable workflows that power our drug discovery software. This is an

", "datePosted": "2026-06-09T17:33:14.928Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "ec8c195e6e8eeb0e0d7e46013652087c" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/ml-research-scientist-co-folding-and-affinity-ec8c195e" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/sandboxaq/technical-program-manager-catalysis-d830e1da", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Technical Program Manager, Catalysis", "description": "

Technical Program Manager, Catalysis at SandboxAQ - United States - Technical Program Manager, Catalysis United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The Catalysis team develops and validates new catalyst technologies for complex industrial applications, with a focus on high-purity chemical production, emissions treatment, and advanced sensing. The team brings together computational modeling, machine learning, experimental validation, and cross-functional collaboration to accelerate how promising catalyst concepts move from discovery to real-world use. Introduction to the role: We are seeking a Senior Program Manager to lead the execution of our catalysis validation programs from planning through delivery. In this role, you will drive the operating cadence for experimental campaigns, coordinate work across computational scientists, data and machine learning teams, and external

", "datePosted": "2026-06-03T16:10:39.002Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "d830e1da78858ee2d783acaee04aab07" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/sandboxaq/technical-program-manager-catalysis-d830e1da" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/sandboxaq/staff-research-scientist-catalyst-simulation-2408fd00", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Research Scientist, Catalyst Simulation", "description": "

Staff Research Scientist, Catalyst Simulation at SandboxAQ - United States - Staff Research Scientist, Catalyst Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The Catalysis team develops and validates new catalyst technologies for complex industrial applications, with a focus on high-purity chemical production, emissions treatment, and advanced sensing. The team brings together computational modeling, machine learning, experimental validation, and cross-functional collaboration to accelerate how promising catalyst concepts move from discovery to real-world use. Introduction to the role: The Catalysis team is looking for a Staff Research Scientist, Catalyst Simulation to lead the translation of reaction energetics derived from atomistic simulations and machine learning potentials into process-scale predictions that advanced manufacturing facilities, OEMs, and chemical manufacturers can act on. This person

", "datePosted": "2026-06-03T16:10:33.658Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "2408fd00835543c6c2135f4554dc0e5c" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/staff-research-scientist-catalyst-simulation-2408fd00" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/sandboxaq/technical-program-manager-chemical-simulation-semiconductors-09d39e81", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Technical Program Manager, Chemical Simulation / Semiconductors", "description": "

Technical Program Manager, Chemical Simulation / Semiconductors at SandboxAQ - United States - Technical Program Manager, Chemical Simulation / Semiconductors United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The AI Simulation (AISim) Business Unit is deploying our internal platform and Large Quantitative Models across critical semiconductor material verticals. The Operations function is the execution backbone of the BU, keeping a multi-vertical program on track across science, engineering, partnerships, and reporting. Introduction to the role: We are seeking a Technical Program Manager to serve as a cross-functional operational leader across a portfolio of technical programs. This is a unique opportunity to partner with highly-specialized and talented scientific and engineering teams within the semiconductor material development space. If you thrive managing complex programs with cross-org

", "datePosted": "2026-06-02T20:25:25.232Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "09d39e812303fcc65d5f8ad58f07cbf1" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/sandboxaq/technical-program-manager-chemical-simulation-semiconductors-09d39e81" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/sandboxaq/director-of-corporate-development-and-strategic-partner-management-e77acb95", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director of Corporate Development and Strategic Partner Management", "description": "

Director of Corporate Development and Strategic Partner Management at SandboxAQ - United States - Director of Corporate Development and Strategic Partner Management United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity We are seeking a Director of Corporate Development and Strategic Partner Management to help shape SandboxAQ's next phase of growth. This role sits at the intersection of corporate development, strategic partnerships, market analysis, and cross-functional business leadership. The ideal candidate will lead evaluation and execution of mergers and acquisitions, investment and corporate development opportunities, and key commercial partnerships, while helping the company translate emerging product and market opportunities into scalable business plans and durable strategic relationships. This person will work closely with executive leadership, product, research and development, engineering, legal, finance, and business teams to drive high-quality decisions

", "datePosted": "2026-06-01T16:05:06.387Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "e77acb952d98bcd4af00a8c0e264dc11" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/sandboxaq/director-of-corporate-development-and-strategic-partner-management-e77acb95" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/sandboxaq/manager-of-clinical-research-aqmed-c612c77d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Manager of Clinical Research, AQMed", "description": "

Manager of Clinical Research, AQMed at SandboxAQ - Palo Alto, California, United States - Manager of Clinical Research, AQMed Palo Alto, California, United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity AQMed is developing a next-generation, non-invasive cardiac diagnostic platform designed to revolutionize how heart health is assessed. The team operates at the intersection of regulated medical device development and fast-paced startup innovation, with a strong emphasis on quality, scientific rigor, and patient safety. We are seeking a Manager of Clinical Research who will own and accelerate AQMed's clinical program. You will inherit a meaningful foundation - established processes and early clinical work already underway - and take it to the next level. You will drive execution of a multi-geography clinical program from feasibility to pivotal studies, working alongside

", "datePosted": "2026-06-01T16:02:59.215Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "c612c77db74397c56a96c7d56c7637d6" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Palo Alto" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/sandboxaq/manager-of-clinical-research-aqmed-c612c77d" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/sandboxaq/research-scientist-catalyst-simulation-1d0f0800", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Research Scientist, Catalyst Simulation", "description": "

Research Scientist, Catalyst Simulation at SandboxAQ - United States - Research Scientist, Catalyst Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity As a Research Scientist on our Computational Catalysis team, you will join a dedicated team of subject matter experts, computational scientists, software developers, and machine learning experts, leveraging an ensemble of state-of-the-art proprietary computational tools to solve real-world challenges. In this flexible role, you will be responsible for supporting one or more of the following core focus areas: - Developing large-scale DFT datasets and machine learning potentials for heterogeneous catalysis. - Supporting the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials at atomic, mesoscale, and continuum scales. - Supporting heterogeneous catalyst discovery and optimization projects with

", "datePosted": "2026-05-29T21:04:33.306Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "1d0f0800beb627252c7c7c245e49d172" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/research-scientist-catalyst-simulation-1d0f0800" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/sandboxaq/senior-scientific-software-engineer-ai-simulation-191ac4f6", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Scientific Software Engineer, AI Simulation", "description": "

Senior Scientific Software Engineer, AI Simulation at SandboxAQ - United States - Senior Scientific Software Engineer, AI Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Our team is seeking a Software Engineer to contribute to the development of computational chemistry tools, and bridge the gap from R&D prototypes to stable, well-test, production-ready implementations. As we continue to expand our portfolio of capabilities - spanning physics-based simulations, large-scale data and knowledge graphs, machine learning, and massively parallel computing - we require reliable and efficient software to drive it. We are looking for an experienced engineer who can enhance our team's work through the creation of clean software and collaboration with a team of computational chemists, physicists, AI experts, and software engineers. This should be founded in

", "datePosted": "2026-05-27T23:37:28.072Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "191ac4f65af633c92eb27e0825a21ce9" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/sandboxaq/senior-scientific-software-engineer-ai-simulation-191ac4f6" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/sandboxaq/senior-machine-learning-engineer-ai-generation-engine-b75f0bd2", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Machine Learning Engineer, AI Generation Engine", "description": "

Senior Machine Learning Engineer, AI Generation Engine at SandboxAQ - Canada - Senior Machine Learning Engineer, AI Generation Engine Canada About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to):

", "datePosted": "2026-05-27T16:55:40.647Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "b75f0bd2854244700d7a256f63ecf781" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "CA" } }, "directApply": false, "jobBenefits": "Unlimited PTO", "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/senior-machine-learning-engineer-ai-generation-engine-b75f0bd2" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/sandboxaq/staff-machine-learning-engineer-ai-generation-engine-87cf20c2", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Machine Learning Engineer, AI Generation Engine", "description": "

Staff Machine Learning Engineer, AI Generation Engine at SandboxAQ - Canada - Staff Machine Learning Engineer, AI Generation Engine Canada About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ's Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and

", "datePosted": "2026-05-27T16:50:19.866Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "87cf20c2e5df5ec62d59ae1839acc47e" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "CA" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/staff-machine-learning-engineer-ai-generation-engine-87cf20c2" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/sandboxaq/director-of-product-management-ai-generation-engine-e6273bf7", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director of Product Management, AI Generation Engine", "description": "

Director of Product Management, AI Generation Engine at SandboxAQ - Canada - Director of Product Management, AI Generation Engine Canada About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About the Team The SandboxAQ AI Generation Engine (SAIGE) team's mission is to accelerate SandboxAQ's mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our top

", "datePosted": "2026-05-27T16:33:16.454Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "e6273bf74641e4b62497d7b35beb96ce" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "CA" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/sandboxaq/director-of-product-management-ai-generation-engine-e6273bf7" } }, { "@type": "ListItem", "position": 13, "url": "https://fewerjobs.com/jobs/sandboxaq/senior-staff-software-engineer-medical-devices-9405ffcc", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Staff Software Engineer, Medical Devices", "description": "

Senior Staff Software Engineer, Medical Devices at SandboxAQ - United States - Senior Staff Software Engineer, Medical Devices United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity AQMed is developing a next-generation, non-invasive cardiac diagnostic platform designed to revolutionize how heart health is assessed. The team operates at the intersection of regulated medical device development and fast-paced startup innovation, with a strong emphasis on quality, scientific rigor, and patient safety. We are seeking a Senior Staff Software Engineer to serve as the Technical Lead for our medical device software platform. In this role, you will own the software architecture that powers our device-from embedded Linux to the cloud. Your architectural decisions will keep the platform safe, maintainable, and extensible as our product evolves. You will be raising

", "datePosted": "2026-05-26T19:37:01.459Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "9405ffcc40e767319e4976f64293f598" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/sandboxaq/senior-staff-software-engineer-medical-devices-9405ffcc" } }, { "@type": "ListItem", "position": 14, "url": "https://fewerjobs.com/jobs/sandboxaq/product-research-scientist-drug-discovery-9033c4fe", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Research Scientist, Drug Discovery", "description": "

Product Research Scientist, Drug Discovery at SandboxAQ - United States - Product Research Scientist, Drug Discovery United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation group partners with global research teams to discover new drugs and materials using AI and physics-based computational solutions. Our team's unique approach enables cross-pollination across diverse fields, from physics, computer science, neuroscience, mathematics, and natural sciences, yielding breakthrough AI + Quantum solutions. The AI Simulation team is looking for a Product Research Scientist to join our team. This role is central to our efforts to drive the translation of internal drug discovery research software, specifically from our ML and Computational Chemistry teams, into external-facing, production-ready product offerings. This person will partner directly with researchers to understand scientific code

", "datePosted": "2026-05-15T21:28:55.493Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "9033c4fedcd0a10aae81a22356cebe80" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/product-research-scientist-drug-discovery-9033c4fe" } }, { "@type": "ListItem", "position": 15, "url": "https://fewerjobs.com/jobs/sandboxaq/data-engineer-aqnav-12795b7a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Data Engineer, AQNav", "description": "

Data Engineer, AQNav at SandboxAQ - United States - Data Engineer, AQNav United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most. The AQNav team is looking for a highly-accomplished Data Engineer to help take us to the next level. This role is that role you always wanted, to be able to work on cutting-edge technology. You get to join and help build out infrastructure that will empower every member of

", "datePosted": "2026-05-05T16:20:47.968Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "12795b7ad4537c5e91f66c5a51a663cd" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/data-engineer-aqnav-12795b7a" } }, { "@type": "ListItem", "position": 16, "url": "https://fewerjobs.com/jobs/sandboxaq/vp-of-operations-ai-simulation-e9bf91bf", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "VP of Operations, AI Simulation", "description": "

VP of Operations, AI Simulation at SandboxAQ - United States - VP of Operations, AI Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity We are seeking a VP of Operations to serve as the operational architect for our AI Simulation business unit at SandboxAQ. This is a role for a Builder-Operator to drive rigorous processes and deliver transformative impact by scaling operational infrastructure, developing innovative capacity planning, and navigating complex data-oriented processes all through high EQ influential team leadership. In this role, you will be the operational engine propelling two of our most ambitious divisions centralized under AI Simulation: BioSim (Drug Discovery) and ChemSim (Materials Science). This is a role for a specialist in scaled execution. The ideal candidate is deeply tactical and data-oriented

", "datePosted": "2026-05-04T22:13:49.717Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "e9bf91bf4eccbaf223f92cf06cf52244" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/sandboxaq/vp-of-operations-ai-simulation-e9bf91bf" } }, { "@type": "ListItem", "position": 17, "url": "https://fewerjobs.com/jobs/sandboxaq/staff-forward-deployed-engineer-aqnav-65fa9dd4", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Forward Deployed Engineer, AQNav", "description": "

Staff Forward Deployed Engineer, AQNav at SandboxAQ - United States - Staff Forward Deployed Engineer, AQNav United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AQNav (Quantum Navigation) team builds global, GPS-independent, navigation solutions from military and commercial aircraft to autonomous submersible platforms. We are the bridge between cutting-edge quantum sensing research and real-world operations, working directly alongside the defense customers and platform integrators at the highest levels to prove that magnetic navigation works where it matters most. The AQNav team is looking for a Senior Forward Deployed Engineer to join our team. This role is central to our efforts to own the technical reality of how AQNav performs in the field and to serve as the primary bridge between operational users and our product,

", "datePosted": "2026-04-27T15:48:21.537Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "65fa9dd4bc75d620ce4113dac8b0a5cc" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/staff-forward-deployed-engineer-aqnav-65fa9dd4" } }, { "@type": "ListItem", "position": 18, "url": "https://fewerjobs.com/jobs/sandboxaq/sr-staff-technical-product-manager-life-sciences-d71a5656", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Staff Technical Product Manager, Life Sciences", "description": "

Sr. Staff Technical Product Manager, Life Sciences at SandboxAQ - United States - Sr. Staff Technical Product Manager, Life Sciences United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Product Manager to join this team to accelerate productization of scientific innovations and drive product-led growth. A Product Manager at SandboxAQ defines and owns the delivery of technically complex product capabilities. This role involves (1) translating scientific user needs from researchers, clinicians, translational teams, medical affairs,

", "datePosted": "2026-04-09T16:42:19.803Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "d71a56560d83feaa89ea989d79d5e35d" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/sr-staff-technical-product-manager-life-sciences-d71a5656" } }, { "@type": "ListItem", "position": 19, "url": "https://fewerjobs.com/jobs/sandboxaq/staff-technical-product-manager-life-sciences-09767170", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Technical Product Manager, Life Sciences", "description": "

Staff Technical Product Manager, Life Sciences at SandboxAQ - United States - Staff Technical Product Manager, Life Sciences United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Product Manager to join this team to accelerate productization of scientific innovations and drive product-led growth. A Product Manager at SandboxAQ defines and owns the delivery of technically complex product capabilities. This role involves (1) translating scientific user needs from researchers, clinicians, translational teams, medical affairs, and

", "datePosted": "2026-04-09T16:42:15.833Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "09767170f99a083cc7e20b374c58d766" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/staff-technical-product-manager-life-sciences-09767170" } }, { "@type": "ListItem", "position": 20, "url": "https://fewerjobs.com/jobs/sandboxaq/staff-ml-research-scientist-co-folding-and-affinity-bc413038", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff ML Research Scientist, Co-Folding and Affinity", "description": "

Staff ML Research Scientist, Co-Folding and Affinity at SandboxAQ - United States - Staff ML Research Scientist, Co-Folding and Affinity United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Staff ML Research Scientist focusing on Co-Folding & Affinity, you will occupy a senior position architecting our ML biopharma capabilities. Your central purpose is to redefine the state-of-the-art in structure prediction and binding affinity, transforming these breakthroughs into core components of our software suite. Within your first year, you will: pioneer novel deep learning

", "datePosted": "2026-03-27T18:02:55.873Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "bc4130385324efbdda9e96174c884e27" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/staff-ml-research-scientist-co-folding-and-affinity-bc413038" } }, { "@type": "ListItem", "position": 21, "url": "https://fewerjobs.com/jobs/sandboxaq/geospatial-analyst-resident-b9aa0ce6", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Geospatial Analyst Resident", "description": "

Geospatial Analyst Resident at SandboxAQ - United States - Geospatial Analyst Resident United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity This residency is part of the AQNav Team, which is responsible for the design, development, and operation of novel navigational methods using GNSS alternatives. As a Geospatial Analyst Resident, you will conduct cutting-edge research in geospatial data integrity and its impact on navigation systems. This position is targeted toward students currently enrolled in a graduate program who are available for 6 months of part-time (at least 20 hours) or full-time work. The expected start date is Summer 2026, though earlier availability will be considered. The position is remote within the United States with periodic travel to our office in Palo Alto, California. Key

", "datePosted": "2026-03-20T18:49:23.525Z", "employmentType": "PART_TIME", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "b9aa0ce646be72a4a698b842d8baf357" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/geospatial-analyst-resident-b9aa0ce6" } }, { "@type": "ListItem", "position": 22, "url": "https://fewerjobs.com/jobs/sandboxaq/senior-computational-chemist-drug-discovery-uk-3377c1ea", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Computational Chemist, Drug Discovery (UK)", "description": "

Senior Computational Chemist, Drug Discovery (UK) at SandboxAQ - United Kingdom - Senior Computational Chemist, Drug Discovery (UK) United Kingdom About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation team develops novel drugs and materials by integrating AI and physics-based computational solutions. Our AQBioSim group seeks a computational chemist who will not only apply cutting-edge methodologies but also critically assess and refine computational approaches. This individual will challenge assumptions, ask "why" when interpreting results, and ensure the reliability and accuracy of findings rather than blindly trusting outputs. This UK-based role will drive innovation by combining quantum, AI, and physics-based methods-such as molecular dynamics and active learning free energy perturbation-to advance drug discovery. Working within a highly skilled and multidisciplinary team, including drug hunters with a strong

", "datePosted": "2026-03-11T15:48:58.382Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "3377c1eabcb7668cc67135f962d5e148" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/sandboxaq/senior-computational-chemist-drug-discovery-uk-3377c1ea" } }, { "@type": "ListItem", "position": 23, "url": "https://fewerjobs.com/jobs/sandboxaq/staff-forward-deployed-engineer-ai-simulation-e584ca38", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Forward Deployed Engineer, AI Simulation", "description": "

Staff Forward Deployed Engineer, AI Simulation at SandboxAQ - United States - Staff Forward Deployed Engineer, AI Simulation United States About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity As a Staff Forward Deployed Engineer (FDE) within our AI Simulation group, you will act as the primary technical bridge between our core Large Quantitative Models (LQMs) and our most ambitious client contracts. This is a high-agency "builder" role designed for a resourceful generalist who thrives on autonomy and is passionate about tackling the hardest challenges in drug discovery and chemical simulation. You will be embedded directly with scientific delivery teams, operating at the frontiers of knowledge where fundamental research converges with practical, real-world impact. Your central purpose is to ensure the technical enablement and success of our most critical

", "datePosted": "2026-02-10T18:15:38.453Z", "employmentType": "CONTRACTOR", "identifier": { "@type": "PropertyValue", "name": "SandboxAQ", "value": "e584ca381fa8d1fb0d50ae7b3ffd79e1" }, "hiringOrganization": { "@type": "Organization", "name": "SandboxAQ" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/sandboxaq/staff-forward-deployed-engineer-ai-simulation-e584ca38" } } ] } ] }