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 Cybersecurity Group at SandboxAQ is looking for an Engineering Manager to help functionalize AQtive Guard, our groundbreaking solution for modern non-human identity and cryptography management already launching globally with major organizations like top-tier financial institutions and government agencies.
The team is seeking a hands-on Engineering Manager who is strongly focused on building our team responsible for generating and ingesting data, both from our own sensors and third-party systems. This role is pivotal in advancing our security integrations to support seamless connectivity with third-party tools and other enterprise security platforms. The successful candidate will lead the technical strategy for our sensors, third-party ingestion pipeline and in general frameworks for anyone to process any kind of data, while remaining hands-on with code and architecture decisions.
What You'll Do- Lead and grow our data discovery team while remaining hands-on with code reviews, architecture decisions, and critical feature development.
- Own the roadmap & design of our data ingestion facilities, , including our own passive network analyzer, filesystem scanner and application dynamic tracers.
- Own the developer experience end-to-end: from API design to documentation to integration, deployment guides
- Mentor and coach engineers on both technical skills and career development while fostering a culture of quality, testing, and documentation
- Establish and maintain engineering best practices around testing and scalability
- Build relationships with key enterprise customers and act as their technical advocate internally
- You have 8+ years in software engineering roles with experience leading engineering teams and remaining technically hands-on
- You have a proven track record of building and shipping production services from scratch in Rust, Golang, Python, C++, Kotlin or Java. Note that our integration services are written in Kotlin.
- You can quickly grasp streaming concepts (codecs, protocols, latency optimisation), or you already have experience in this domain
- You've built and shipped production SDKs, APIs, or enterprise integration solutions across multiple programming languages
- You think like a developer advocate while balancing technical excellence with business objectives and delivery timelines
- You excel at cross-functional collaboration and can translate between technical constraints and business requirements
- You have experience with enterprise authentication flows (OAuth, SAML), API security, and compliance requirements
- You demonstrate strong technical leadership skills with the ability to make architectural decisions while managing and developing team members
- You balance hands-on technical contributions with people management and strategic planning
- Languages: Kotlin, Golang and Rust
- Infrastructure: AWS, Kubernetes
- Developer Tools: GitHub, CI/CD pipelines, API documentation tools
- Monitoring: DataDog
The US base salary range for this full-time position is expected to be $225k - $315k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
