Senior Engineering Manager, AI Sim

Location

Canada

Full time

Remote

AI Simulation

• Canada CA $192K – CA $288K

At Sandbox

AQ, we are committed to competitive, equitable, and transparent compensation; we continuously benchmark our salaries and total compensation to premium markets to ensure our competitiveness. Individual pay within the above range is determined by job-related skills, experience, education, and geographic location.

With a focus on pay equity and ensuring opportunity for future salary progression, our typical practice is to hire within the first half of the base salary range for a given role and level. This approach allows us to reward performance and increasing expertise consistently as your career develops with us.

We use two geographic pay tiers to reflect the pay differences in local markets:

• Tier 1: Applies to candidates located within 75 miles of San Francisco, Los Angeles, Seattle, New York, Boston, and Washington, DC.
• Tier 2: Applies to candidates located in all other Locations in the US.

Sandbox

AQ 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 Sandbox

AQ, 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 AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) grounded in physics, chemistry, and biology to simulate molecular behavior with scientific precision. We are building a first-of-its-kind simulation platform that accelerates discovery in the physical world across biopharma and advanced materials. As an Engineering Manager, you will lead the backend generalists responsible for the core functionalities, APIs, and data planes that power our R&D efforts.

You will be the bridge between visionary research and production-grade engineering, leading a multidisciplinary team of experts to deliver project goals and drive adoption of transformative tooling. Your mission is to own the technical strategy for the platform's development, establish rigorous engineering best practices, and mentor a team of customer-obsessed engineers to see their impact in real-time as they support world-changing scientific discovery.

• Lead and Mentor: Grow a high-performing team of backend engineers, managing career development and fostering a culture of continuous growth and humility.
• Orchestrate Execution: Manage sprint ceremonies and planning meetings to align team efforts with strategic product goals, maintaining a tight feedback loop between engineering and end-users.
• Maintain quality: manage tech debt to an appropriate level in a fast-moving, early stage product. Constantly evaluate the tradeoff between building durable, hardened software and scrappy prototypes.
• Disentangle dependencies and schedules: Manage delivery, scheduling, and timelines to optimize predictability of delivery.
• Drive technical decision-making: Own the technical direction and architectural discussions for the AISim simulation and data platform, ensuring solutions are maintainable, scalable, and secure. Maintain coordination with other engineering teams where technical decisions have cross-team impacts.
• Collaborate Cross-Functionally: Work closely with researchers, product managers, and internal stakeholders to translate complex scientific requirements into clear technical…