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We are seeking an experienced Malware Research Director to build and manage multiple teams dedicated to malware research. This role presents an exciting opportunity to establish a new operation from the ground up, creating processes, optimizing and setting up cross-team collaboration while serving as the primary client interface.

The position is primarily leadership, client-facing, creating solutions and requiring exceptional team-building and operational setup skills. The ideal candidate demonstrates high technical skills, proven experience in building teams from scratch, establishing new operations, and strong client relationship management capabilities.

Key Responsibilities:
Establish operational processes, workflows, and quality standards for the new teams.
Coordinate with other departments to integrate the new operation into the existing infrastructure.
Serve as primary client interface, managing relationships and ensuring client satisfaction.
Present research findings and malicious evidence to clients and stakeholders.
Advise on technical aspects for malware research challenges and automated solutions.
Create training programs and onboarding processes for new team members.
Develop performance metrics and evaluation frameworks for team effectiveness.
Lead client meetings, requirement discussions, and project planning sessions
Collaborate with sales and business development teams on client engagements.

We are looking for an Intel Desk Team Leader to manage a team of super-talented intel analysts. Our teams help top-level companies improve their guardrails using our insights on the latest trends in T&S, exploration of various abuse areas, and new techniques adopted by threat actors.

What will you do?
Lead a team of talented intel analysts (some are remote), providing support in terms of resources, guidance, and professional growth
Leading the team with creativity and critical thinking, addressing challenges as they arise
Monitoring the teams KPIs, workload, and manpower
Ensuring a constantly updated and organized intelligence infrastructure, including the teams internal knowledge
Organize and lead projects in terms of methodology, resources, manpower, R&Rs, and deadlines.

We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.

This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.

In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.

If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components - from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed - guiding design, debugging, and system optimization.

We are building a centralized intelligence system for the entire organization - a system that collects, consolidates, and analyzes all organizational data, and actively drives business workflows and decision-making.
This role exists to take that system to the next level.
As the Lead Organizational Intelligence Engineer, you will own the evolution of an internal platform that already influences how decisions are made across the company - and turn it into a foundational capability that fundamentally reshapes how the organization operates. Youll work end-to-end: from data ingestion and modeling, through analytics and AI-driven insights, all the way to decision workflows used by executives, R&D, product, and go-to-market teams.
You will operate as a senior individual contributor with broad organizational influence, while laying the technical and product foundations for a future team.
What Youll Do:
Own the architecture and implementation of a company-wide organizational intelligence system, end-to-end
Design and build data pipelines that ingest and unify data from across the organization and into our own platform
Define and evolve data models and semantic layers that create a shared, consistent language across teams and domains
Build advanced analytics and insight mechanisms that move beyond dashboards into decision-enabling workflows
Work directly with company executives to co-define requirements, identify blind spots, and translate strategic questions into systems and capabilities
Apply a product-driven mindset: deciding not just how to build, but increasingly what should be built and why
Leverage frontier AI tooling and agent-based workflows to accelerate development, improve system quality, and expand whats possible
Write and own production-grade code, setting a high bar for quality, reliability, and scalability
Influence technical and organizational workflows across the company to enable deeper intelligence and better decisions
Lay the groundwork for future externalization of these capabilities into customer-facing products