Jobs at Dream (dreamgroup.com)

Lead design and operation of the organization's GRC program: develop policies and risk processes, manage risk register, drive compliance and audits, oversee vendor risk assessments, track remediation, and partner with IT, Security, Legal and business teams to align governance with operations.

Lead end-to-end QA for cyber-focused features: define and execute test plans (functional, integration, API, regression, exploratory), analyze logs, investigate defects, validate automation coverage, collaborate with developers and product, use AI tools to enhance testing, and contribute to QA documentation and release readiness.

Conduct deep CTI research and infrastructure/campaign analysis, identify and validate IOCs, normalize and maintain intelligence in STIX 2.1, and produce actionable reports and watchlists. Collaborate with Engineering, MLOps, and Data to translate intelligence into alerts and customer outputs while ensuring governance, sourcing, and data-quality standards.

The role involves designing, writing production-grade Python code for AI cybersecurity products, integrating with devices, and collaborating with customers to enhance data collection capabilities.

As a Research Infra Engineer, you will design and implement internal platforms for research workflows, build data pipelines, and collaborate with CyberAI researchers to improve efficiency and reliability.

Design and develop core engines and intelligent agents that emulate adversarial behaviors while improving security resilience. Responsibilities include building AI-driven systems, conducting architecture decisions, and optimizing performance for distributed simulations.

The role involves conducting independent research in AI and cybersecurity, collaborating across tracks, and mentoring junior researchers. Candidates should have a strong publication record and expertise in various AI methodologies.

The Applied AI Researcher will train models, maintain benchmarks, preprocess data, conduct experiments, and collaborate with engineering teams within various AI research tracks.

Lead the design and development of automated tests for UI, API, and integration layers, ensuring fast and reliable software releases. Collaborate with developers to implement robust testing strategies and integrate with CI/CD pipelines.

The Threat Engineer will develop AI-driven detection solutions, partner with teams on cybersecurity tactics, and assess emerging threats to enhance security resilience.

Analyze and reverse engineer malware used by advanced threat actors, document technical capabilities, and support AI-driven cybersecurity research.

Lead product strategy for Dream's Risk domain in cybersecurity, focusing on risk reduction and actionable insights. Collaborate with technical teams to optimize workflows and improve customer security.

The Senior Product Designer will lead the design vision, develop user-centered experiences for AI systems, and establish design standards in high-stakes environments, collaborating across teams to drive product lifecycle from concept to execution.

Lead corporate development strategy, manage M&A and investment processes, and maintain corporate stakeholder relationships to drive sustainable growth and value creation.

The Senior AI Engineer at Dream will develop AI systems for cybersecurity, focusing on building and optimizing LLM-based solutions and collaborating with teams to address customer needs.

The role involves developing Windows kernel drivers, optimizing software performance, conducting code reviews, and solving complex cybersecurity challenges.

The Senior Threat Intelligence Researcher leads investigations into advanced threats, analyzes adversary tactics, and develops actionable intelligence to enhance cybersecurity defenses.

The role involves designing advanced AI models for cybersecurity solutions, leading research initiatives, and mentoring data scientists, focusing on LLMs and scalable systems.

Own end-to-end reliability, automation, and deployment of Dream's platform at customer sites. Lead on-prem and hybrid Kubernetes deployments, manage Helm charts, build Ansible automation, operate Linux infrastructure, troubleshoot networking and storage, support GPU-enabled nodes and air-gapped installs, use Git and AWS (EC2/S3), and travel to customer sites for staging and deployments.

Lead product marketing for sovereign AI and national cyberdefense, translating technical capabilities into messaging for CISOs and government buyers. Conduct competitive and threat research, produce white papers and technical briefs, enable sales with evidence-driven content, and own industry intelligence and positioning.