Jobs at Dream (dreamgroup.com)

Investigate threat actors, malicious infrastructure, malware campaigns, vulnerabilities, and emerging cyber activity. Analyze indicators and infrastructure relationships, assess attribution and confidence, and produce actionable intelligence, detections, watchlists, and reports. Build relationships with CTI partners, support intelligence sharing, present findings to technical and executive audiences, and collaborate with engineering, data, product, marketing, and communications teams on scalable intelligence capabilities.

Lead multiple R&D squads delivering cybersecurity solutions, coordinating with Product, Engineering, Data Science, Research, and program leadership. Establish efficient workflows, align squad goals with company objectives, improve agile processes, mentor team members, and manage end-to-end development. The temporary role requires program management experience in high technology, cybersecurity, cloud and on-premises environments, Jira proficiency, and familiarity with AI model training workflows.

Own infrastructure for a high-throughput, multi-tenant Detection and Response platform across AWS and on-premises environments. Design scalable, reliable, secure systems supporting real-time streaming, ML training and inference, and production AI agents. Build internal platforms and tooling, apply Infrastructure-as-Code, resolve issues across environments, and make architectural decisions spanning infrastructure, networking, security, applications, and data.

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

Research enterprise network and domain risks, vulnerabilities, misconfigurations, attack techniques, and lateral movement paths. Build proof-of-concept exploits and attack chains, develop algorithms for network topology discovery, model adversary behavior through AI agents, and translate findings into detection logic, risk prioritization, and remediation guidance. Collaborate with product and engineering teams and document technical research findings.

Research and develop agentic AI and NLP systems for sovereign applications, including orchestration, planning, tool use, retrieval, information extraction, enrichment, benchmarking, simulation, and evaluation. Own projects from problem definition through deployment, collaborate with engineering, assess system failure modes, improve models through experimentation and feedback, and mentor researchers while operating under security, compliance, compute, and deployment constraints.

Leads a team of approximately five QA engineers while owning testing strategy and delivery from planning through production release. Responsibilities include manual, exploratory, API, integration, regression, and end-to-end testing; defect triage; release readiness; technical investigations; and collaboration with development, product, and automation teams. The role also advances AI-assisted QA workflows, testing standards, automation coverage, documentation, and production issue analysis.

Leads a multidisciplinary engineering team building AI agents, backend services, frontend applications, and a distributed reconnaissance platform for cyber defense. Responsibilities include technical roadmap ownership, agentic architecture, scalable data pipelines, findings quality, observability, incident response, platform migration, and people management. Requires strong backend development, AI and LLM integration, distributed systems, workflow orchestration, cloud infrastructure, cybersecurity, and internet infrastructure expertise.

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

Lead and mentor an applied science team developing production-grade AI models for cybersecurity products. Own initiatives from customer problem discovery through experimentation, prototyping, and deployment. Research and optimize LLMs, deep learning systems, and multi-agent workflows while shaping technical strategy, product roadmaps, and engineering best practices across the organization.

Lead a team developing Dream’s endpoint sensor for Windows and Linux. Design and code production-grade C++, mentor engineers, guide technical roadmaps, collaborate across engineering and research teams, and ensure high standards through code reviews, debugging, and software design practices.

Research emerging cyber threats, analyze malware and adversary infrastructure, investigate campaigns, and develop detection requirements. Lead attribution, EASM, and STIX knowledge-management initiatives while partnering with developers and data scientists on AI-driven detection models and security agents. Build scalable security-metrics solutions and apply reverse engineering, OS internals, network research, and proof-of-concept development to advance the detection platform.

Own end-to-end execution of the Sovereign AI roadmap across Research, Engineering, Product, and Design. Manage concurrent technical workstreams, dependencies, risks, launches, stakeholder alignment, and prioritization. Build scalable programs from 0 to 1, unblock teams, improve operational processes, and support commercial, billing, pricing, and developer platform operations. Translate technical and execution realities into clear decisions for leadership and government stakeholders.

Own the roadmap for shared AI platform capabilities, conduct customer discovery, translate market needs into product requirements, and partner with engineering and research teams on delivery. Build AI-enabled workflows, evaluation processes, and quality gates while supporting demos, proposals, positioning, and commercial conversations. Ensure products meet sovereign-environment requirements including on-premise deployment, data residency, access control, auditability, and resilience.

Build and manage strategic technology partnerships across the cybersecurity and AI ecosystems. Own the partnership lifecycle from scouting and contracting through integrations, joint solutions, onboarding, and go-to-market activities. Collaborate with Product, R&D, Sales, Marketing, and Legal teams, represent the company in international forums, track partnership milestones, and translate market and regulatory insights into actionable opportunities.

Lead product design vision and strategy for AI and cybersecurity products. Mentor designers, establish design quality standards, evolve design systems, translate complex workflows into intuitive experiences, and advocate for trustworthy AI interactions. Partner with product, engineering, analysts, and cyber researchers to influence roadmaps. Own designs from concept through post-launch iteration, lead research and usability testing, present to senior stakeholders, and remain hands-on with complex strategic challenges.

Owns full-cycle technical recruiting across the organization, partnering strategically with business leaders to understand hiring needs, provide market insights, and make data-informed recommendations. The role involves sourcing and hiring high-quality talent, conducting behavioral interviews assessing technical and cultural fit, delivering an excellent candidate experience, and helping shape company culture in a fast-paced AI and cybersecurity environment.

Design and operate scalable Python backend services supporting LLM-powered agents, including prompt orchestration, tool calling, retrieval, data architecture, testing, CI, observability, and secure AWS deployment. The role requires end-to-end ownership across architecture, production operations, and user-facing integrations in highly secure and regulated environments.

Owns the end-to-end design, development, operation, and evolution of internal platforms supporting CTI products. Responsibilities include managing Kubernetes, cloud and on-prem environments, CI/CD, Terraform infrastructure, security controls, observability, and scalable infrastructure for AI/ML systems. The role requires strong Python and Bash skills, AWS and Kubernetes expertise, architectural judgment, and experience building high-scale production systems.

Lead Dream’s motion and video presence from concept through delivery, creating executive interviews, customer films, explainers, social content, and event visuals. Define the brand’s motion language, develop treatments and storyboards, direct production partners, and maintain creative quality. Support high-stakes presentations, briefing materials, web, social, and event assets while collaborating with marketing, product, communications, and brand design teams.