Jobs at Dream (dreamgroup.com)

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.

Own application security across the software development lifecycle, including threat modeling, secure design and code reviews, application and API testing, production hardening, vulnerability remediation, and CI/CD controls. Strengthen cloud and platform security through identity guardrails, infrastructure-as-code, Kubernetes controls, policy automation, and secure-by-default practices. Define security metrics, support security programs, train engineering teams, and communicate remediation guidance to technical and leadership stakeholders.

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.

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.

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

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.

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.

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.