Posted 16 days ago
Manager, AI Engineering
@ SandboxAQ
Remote in Canada
Overview
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.
Pay:
$168,000–$252,000 a year
Responsibilities:
- 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
Requirements summary:
- 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)
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-21
- Source record updated
- 2026-10-26
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Manager |
| Department | Software development |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Doctorate (preferred) |
| Fields of study | Computer Science |
| Perks mentioned | Generous paid time off, Flexible hours, Generous parental leave, Retirement plan, Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
SandboxAQ
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Leveraging AQ - the powerful compound effects of AI + Quantum technology
Full company description
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.
- LinkedIn followers
- 52,986
- People associated on LinkedIn
- 347
- Reported office locations
- Palo Alto, CA, US
- New York, NY, US
- Arlington, VA, US
- Business categories
- Information Technology
- Cyber Security
- Artificial Intelligence
- SaaS
- Quantum Computing
- Artificial Intelligence (AI)
- Other recorded names
- SandboxAQ
- Specialties
- 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
- Profile identifies a recruitment agency
- No
- Reported total investment
- 975,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | Palo Alto, CA |
| Organization type | Privately Held |
| Year founded | 2021 |
| Specialties | AIQuantum PhysicsQuantum TechnologyCryptographyCybersecurityNavigationLife SciencesNational SecurityFinancial ServicesQuantum Sensing |
| Open jobs on Jobsy | 5 |
| View page |
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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