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At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.

We're looking for a Demand Generation Manager to own and scale our paid social engine across LinkedIn and Meta. This is not a campaign manager role - not even close. The right person will architect how we run paid social and how it plugs into the broader digital ecosystem leads in.
You'll lead strategy and execution end-to-end - from campaign structure, messaging, and creatives, to the AI-powered systems behind them - turning paid social into an efficient pipeline engine. This role is ideal for B2B marketers who think like builders - equal parts performance marketer, AI orchestrator, and creative strategist - thriving independently in a fast-paced, pipeline-focused environment selling to enterprise audiences.
What You'll Do:
Own paid social end-to-end (LinkedIn & Meta) - planning, execution, creatives, messaging, optimization, and scaling against aggressive pipeline KPIs across multiple regions and languages.
Know your audience so deeply it's almost weird. Partner with content, creative, product marketing, localization, analytics, and sales to build ads and funnels that make enterprise buyers think "this brand gets exactly what I'm dealing with."
Build the operating system behind the campaigns - design automated workflows and AI-powered processes that handle 80% of the operational work, so your focus stays on the 20% that actually matters. Combine LLMs, no-code platforms, and ad platform APIs into workflows that compound team output.
Turn granular activity into a unified strategy - combine multiple geos, verticals, pains, and solutions into a scalable plan, built around how our sales team qualifies and sells - not next to it.
Run experimentation with rigor - structured tests across audiences, creatives, messaging, and funnels. Know the difference between what worked and what looked like it worked.
Live in the data - cut through the noise to find the metrics that actually drive pipeline, and build the attribution view that powers confident, real-time decisions.
Harness multiple teams to build a paid social engine that drives efficient, predictable pipeline growth - not just clicks or MQLs - and communicate insights clearly to global stakeholders, including senior leadership.

At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
Responsibilities
Design and build complex, interactive UIs with React, TypeScript, and Next.js.
Apply design engineering principles to translate Figma designs into highly polished, responsive implementations.
Own component architecture: build reusable, composable, and well-documented components.
Own production health and observability to ensure system reliability at scale.
Ensure accessibility and cross-browser compatibility.
Write tests and maintain code quality across the frontend codebase.
Collaborate with design, backend, and product teams to ship features end-to-end.
Mentor engineers and promote frontend engineering best practices.
Leverage Al-assisted development tools to accelerate workflows and improve code quality.