SandboxAQ

Security Engineer

• Own and drive new enterprise sales opportunities for AQtive Guard across North America.
• Build and manage a strong pipeline using strategic account planning, MEDDPICC/Challenger methodologies, and value-based selling.
• Develop and execute go-to-market strategies in partnership with marketing, sales engineering, customer success, and product teams.
• Engage directly with CISOs, CIOs, CTOs, and other executive stakeholders to shape business cases, manage complex buying cycles, and drive large enterprise deals to close.
• Represent SandboxAQ at industry events, executive dinners, and strategic customer briefings.
• Provide critical field feedback to product, engineering, and leadership teams to refine roadmap and positioning.
• As revenue grows, recruit, coach, and lead a high-performing North American sales team, including enterprise account executives and sales development resources.
• Collaborate with global leadership to ensure consistency, forecasting accuracy, and alignment to revenue targets.

Enterprise Sales Director, Cybersecurity

Machine Learning Engineer

• Design and implement software that leverages informatics, machine learning, and computational chemistry to address unmet needs in drug discovery
• Contribute to ongoing research leveraging physics-based simulation, deep learning, and knowledge graphs for drug discovery applications
• Work closely with an interdisciplinary team of scientists to identify hits and optimize leads in ongoing drug discovery programs
• Leverage Bayesian optimization and active learning to improve experimental designs and make data-driven decisions
• Collaborate with computational chemistry experts and cross-functional teams to rapidly prototype and scale cutting-edge, impactful drug design solutions.
• Translate research and applications to maintainable software systems
• Contribute to the scientific community by writing patents / journal articles and presenting at conferences
• Translate insights from statistics, multimodal data analysis, and ML to actionable and testable drug discovery hypothesis

Machine Learning Engineer, Cheminformatics – Drug Discovery

Recruitment

• Take charge of coordinating our multi-step interview processes, ensuring every detail is in place for a smooth candidate journey.
• Serve as the central point of coordination to deliver a smooth, positive, and professional experience for candidates, recruiters, interviewers, and hiring managers.
• Build strong relationships with candidates and internal team, ensuring communication is friendly, professional, and always confidential.
• Effectively partner with recruiters to bring creative recruiting operations ideas to life.
• Collaborate with cross functional partners and stakeholders to ensure alignment throughout the hiring process.
• Track, manage, and optimize every interaction while serving as the go-to contact for candidates throughout the interview process.
• Maintain accurate data in our applicant tracking systems and other recruitment tools.

Recruiting Coordinator – Fixed Term

Backend Engineer

• Build core features around credential issuance, distribution, rotation, and revocation while integrating with a variety of enterprise environments
• Design and implement security-centric frameworks leveraging open source and proprietary frameworks
• Develop scalable, performant and highly available solutions oriented at different security problems and environments, for infrastructure both on cloud and on-prem
• Understand existing security paradigms and solutions, and contribute to building additional security capabilities in those systems
• Automate, deploy, diligently test and maintain software as part of a long-lasting software engineering cycle

Senior Software Engineer, Golang

Full-stack Engineer

• Lead and build core API and SDK features enabling integration between SandboxAQ's cybersecurity platform and third-party security tools
• Design and implement developer-friendly SDKs and APIs that abstract complex security operations
• Develop scalable, performant, and highly available integration solutions for cloud and on-premises deployments
• Create comprehensive integration frameworks for authentication, data transformation, error handling, and monitoring
• Build webhook and event-streaming capabilities for real-time data synchronization
• Design API versioning strategies, backward compatibility mechanisms, and migration paths for enterprise customers
• Collaborate directly with enterprise customers and third-party vendors to gather requirements and ensure successful deployments
• Automate, deploy, test, and maintain integration software as part of a long software engineering cycle
• Establish monitoring, observability, and alerting systems for integration health and performance
• Contribute to API documentation, integration guides, and developer resources
• Work across the stack (backend, frontend, infrastructure) and with cross-functional teams including product managers, solution architects, cryptographers, and ML experts

Staff Software Engineer, SDK/API

DevOps Engineer

• Champion developer experience by designing, building, and scaling automation and tooling for AQtive Guard
• Build and refine CI/CD pipelines for Kotlin, Go, Rust, and Python services deployed on Kubernetes
• Develop and maintain internal tools, scripts, and automation to simplify developer workflows and standardize deployments on Kubernetes
• Act as an advocate for developer experience, eliminating friction from local development to production
• Take ownership of projects in a fast-paced startup environment

Staff DevOps Engineer

• Take ownership of projects in a fast-paced startup environment, demonstrating a tolerance for ambiguity and a proactive approach to getting things done
• Design, build, and maintain mission-critical services in both Kotlin and Go on Kubernetes
• Leverage Kafka and KStreams in asynchronous processing of security data
• Champion and implement best practices for building highly available, fault-tolerant, and observable distributed systems suitable for top-tier financial and government clients
• Drive performance tuning and optimization efforts to meet stringent latency and reliability requirements
• Mentor other engineers through code reviews, design discussions, and pair programming to elevate the team's technical excellence
• Collaborate closely with product managers and security researchers to translate requirements for the AQtive Guard solution into robust and scalable technical designs

Staff Software Engineer, Platform

• Develop and apply ML and optimization techniques to guide lightweighting strategies.
• Use reasoning-based ML approaches to evaluate trade-offs among performance, manufacturability and other criteria.
• Apply Bayesian optimization and related uncertainty-aware methods to balance performance, manufacturability, and other constraints.
• Build reproducible workflows that integrate materials data, manufacturing methods, and simulation outputs.
• Curate and analyze structured datasets on materials, processing routes, and mechanical properties to support ML pipelines.
• Collaborate with engineers and computer scientists to connect ML outputs with structural and materials design tasks.
• Write technical reports and present results to technical and non-technical stakeholders.

Postdoctoral Researcher – Machine Learning for Materials and Alloys

Hardware Engineer

About SandboxAQ: SandboxAQ is a high-growth company delivering AI solutions using Large Quantitative Models (LQMs) for life sciences, financial services, navigation, cybersecurity, and other sectors.
About the Role: Participate in full product lifecycle of novel sensing avionics systems; define and implement avionics system architectures; ensure compliance with DO-178C, DO-254, DO-160, and ARP4754A.
Responsibilities: Define and implement avionics system architecture; design, develop, and troubleshoot avionics hardware; generate compliance documentation; conduct benchtop/environmental/HIL/on-aircraft testing; collaborate across teams; travel to integration and test sites.

Staff Hardware Engineer

• Design, implement, and maintain scalable and reliable GCP infrastructure using Infrastructure as Code (IaC) principles, primarily with Terraform.
• Manage and optimize BigQuery & k8s logging configurations to ensure efficient data ingestion, analysis, and cost control.
• Develop and maintain FinOps dashboards to provide visibility into cloud spending and identify cost optimization opportunities (we currently use Cloudzero as a cloud-costs vendor).
• Provide and deliver deep, hands-on technical support to developers, acting as a trusted advisor to help optimize workflows, troubleshoot complex issues, and improve development practices.
• Implement and manage monitoring, alerting, and logging solutions for GCP services.
• Troubleshoot and resolve infrastructure-related issues, ensuring high availability and performance.
• Collaborate with Devops, IT, and InfoSec teams to leverage technology effectively while enhancing security and performance.
• Participate in on-call rotations as needed.
• Document infrastructure designs, configurations, and procedures.
• Build interfaces and connections to operations and capacity planning software.