Postuler

Publié il y a 17 jours

Manager, AI Engineering

@ SandboxAQ

Télétravail au Canada

168k–252k $/anTélétravailTemps plein
Postuler
SIGNAUX

En bref

SandboxAQ is hiring a Manager, AI Engineering for its AI team to build agentic collaboration, trust and ROI features. The role is a hands-on leadership position that leads a small engineering team, sets technical direction, and ships production code. The posting states the role is fully remote and full-time, with competitive salary, equity and comprehensive benefits.

Salaire :

168 000 $–252 000 $ par année

Responsabilités :

  • Lead and grow a small, highly technical engineering team
  • Set technical direction and raise the quality bar
  • Build agent monitoring, guardrail and evaluation frameworks
  • Perform classical ML tasks such as feature engineering and fine-tuning
  • Work with Product and Research to ship AI features

Résumé des exigences :

  • BSc in Computer Science or related field with AI/ML exposure
  • Deep expertise in AI/ML, software engineering or AI security
  • Strong Python skills and ML or agentic frameworks
  • Hands-on experience with agents, red teaming or prompt injection (desired)
  • PhD in Computer Science or related field (desired)

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueRégime de retraiteCongés payésCongé parental
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-10-21
Première détection par notre source
2026-10-21
Mise à jour du dossier source
2026-10-26

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauGestionnaire
DomaineDéveloppement logiciel
Gestion d’équipeOui
Heures par semaine40 (estimé)
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Doctorat (préféré)
Domaines d’étudesComputer Science
Avantages mentionnésCongés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Prime de rendement, Actions ou participation

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

SandboxAQ

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Leveraging AQ - the powerful compound effects of AI + Quantum technology

Description complète de l’entreprise

In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. ‍ SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.

Abonnés LinkedIn
52 986
Personnes associées sur LinkedIn
347
Bureaux déclarés
  • Palo Alto, CA, US
  • New York, NY, US
  • Arlington, VA, US
Catégories d’activité
  • Information Technology
  • Cyber Security
  • Artificial Intelligence
  • SaaS
  • Quantum Computing
  • Artificial Intelligence (AI)
Autres noms enregistrés
  • SandboxAQ
Spécialités
  • AI
  • Quantum Physics
  • Quantum Technology
  • Cryptography
  • Cybersecurity
  • Navigation
  • Life Sciences
  • National Security
  • Financial Services
  • Quantum Sensing
  • Quantum Simulation & Optimization
  • Pharmaceuticals
  • Telecommunications
  • Public Sector
  • and SaaS
Le profil indique une agence de recrutement
Non
Investissement total déclaré
975 000 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know…

ChampValeur
SecteurSoftware Development
Taille51-200 employees
Siège socialPalo Alto, CA
Type d’organisationPrivately Held
Fondée en2021
SpécialitésAIQuantum PhysicsQuantum TechnologyCryptographyCybersecurityNavigationLife SciencesNational SecurityFinancial ServicesQuantum Sensing
Offres sur Jobsy6
LinkedInVoir la page
Description

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 SandboxAQ AI team is looking for a hands-on Manager, AI Engineering to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects:

  • Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc.

  • Quality: Measuring ROI of agents and suggesting improvements

  • Collaboration: Bringing humans and agents together into one place with shared context

A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production.

This is a hands-on leadership role where you’ll break things, fix them and then harden them for good while also leading a small team of engineers. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles. You will help set technical direction, raise the quality bar, mentor team members, and ensure that the team moves quickly from research insight to real-world product impact.

We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.

Key Responsibilities

  • Lead and grow a small, highly technical team while remaining deeply involved in hands-on engineering and research.

  • Set technical direction, break down ambiguous problems, establish practical plans for fast, high-quality execution, and build a culture of ownership, low-ego collaboration, thoughtful experimentation, and high standards.

  • Create new agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, while staying current on the latest agentic developments and identifying new opportunities.

  • Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine-tuning, and rapidly iterate on prototypes and features based on feedback and evolving product needs.

  • Work closely with Product and Research to translate AI research into applicable features and software engineering projects.

  • Contribute production-ready code and technical designs, working across engineering to deliver scalable, reliable software.

Essential Skills & Experience

  • BSc in Computer Science or related field with exposure to AI/ML.

  • Deep expertise in AI/ML, software engineering, or AI security.

  • Strong programming skills in Python, and relevant ML and/or agentic frameworks.

  • Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes.

  • Ability to pick up other programming languages and technologies as required to ship scalable and reliable software.

Highly Desired Skills & Experience

  • PhD in Computer Science or related field with focus on AI/ML or similar.

  • Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse.

  • Experience contributing to open source projects.

  • Experience in a fast-paced startup environment.

  • Experience in cybersecurity is a plus, but not essential.

Why Join Us?

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

  • Career Defining Work: Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.

  • Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

  • Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.

  • Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

  • Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

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