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We are looking for a Senior Software Engineer to solve complex technical problems and build dependable backend and platform systems that enable our product to scale. You will own work from design through production, balance near-term delivery with long-term maintainability, and help teammates grow.

What youll do
Design, implement, and operate scalable backend services, APIs, and platform capabilities.
Build robust systems and services in Go and Python.
Own technical design, delivery, reliability, security, and operational quality for your domains.
Work with Product, Design, Data, and other engineers to deliver customer value quickly and safely.
Improve engineering foundations, including test coverage, observability, CI/CD, performance, and developer experience.
Apply AI-assisted engineering tools responsibly while maintaining strong technical judgment.
Evaluate and build production AI capabilities where they are relevant to the product.
Review code, mentor engineers, and contribute to architecture and technical standards.

The Applied AI Strategist helps customers turn complex business needs into practical AI solutions. This role combines business understanding, applied AI fluency, product thinking, and strong execution. You will work closely with customers and internal teams to understand problems, define solutions, guide implementation, and ensure the resulting systems deliver measurable value. You will bring structure to ambiguous challenges, make thoughtful trade-offs, and help move AI initiatives from concept to reliable production use.

What You'll do
Develop a deep understanding of customer workflows, requirements, constraints, and goals.
Identify and prioritize high-value opportunities for applying AI.
Translate ambiguous business needs into clear solution plans, requirements, and success criteria.
Design and validate solution concepts through prototypes, demonstrations, and structured evaluations.
Define prompt, context, workflow, and evaluation approaches for AI-powered solutions.
Coordinate stakeholders and maintain alignment throughout implementation.
Guide trade-offs across speed, quality, reliability, scalability, governance, and customer impact.
Identify and resolve risks or blockers that could affect successful delivery.
Measure solution performance, adoption, and business value.
Turn recurring customer needs and implementation lessons into reusable capabilities and best practices.

We're looking for an experienced AI Engineer to join our core team and design, build, and implement the autonomous AI agents that power our company's revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Explore and prototype cutting-edge AI techniques to tackle our hardest challenges
Architect and develop autonomous AI agents that intelligently eliminate vulnerabilities during container image generation
Collaborate with product and engineering teams to bring AI-driven features from concept to production
Monitor and evaluate AI model performance, implementing feedback loops to continuously improve accuracy and reliability
Develop and maintain machine learning pipelines that process security data and generate actionable insights
Ensure AI systems are robust, reliable, and performant at enterprise scale.

We're looking for a Backend Engineer to join our core team and help build the foundation of our company's AI-powered, CVE-free container security platform.
Responsibilities:
Take responsibility for our company's platform and infrastructure, building the core backend systems and services that power our revolutionary container security solution
Take ownership of the backend architecture, tech stack, and development processes, driving technical decisions across our factory's core components
Work closely with cross-functional teams to deliver high-quality software and implement best practices in backend development, API design, and system architecture
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale our company's revolutionary container security platform.
Responsibilities:
Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
Work closely with engineering, product, and security teams to ensure seamless integration between development and operations.

We are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.

Responsibilities

Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.

Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.

Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.

Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.

Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.

Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.

Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.

Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.

We're looking for an experienced Full Stack Engineer, focused on the frontend side to join our core team and help build the foundation of our company's security platform.
Responsibilities:
Take responsibility for our company's platform and infrastructure, building the frontend and backend experiences that make our revolutionary container security solution
Take ownership of the product, tech stack, and development processes, driving technical decisions across the frontend and backend
Work closely with cross-functional teams to deliver high-quality software and implement best practices in both frontend and backend development
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for an experienced Low Level Engineer to join our core team and help build the foundation of our company's AI-powered, CVE-free container security platform.
Responsibilities:
Design and implement robust infrastructure for supporting secured assets, including our revolutionary CVE-free container images.
Build and maintain support systems for multiple Linux distributions, ensuring seamless integration with existing development workflows.
Work closely with our AI engineers, security researchers, and platform engineers to integrate low-level infrastructure with higher-level services.
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We are seeking an experienced product manager to join our core product team. Youll have significant influence over both product direction and execution and lead strategic product initiatives across the platform. This is a highly impactful role at the intersection of AI, cybersecurity, and enterprise software. Youll work closely with customers, and a high paced team of security researchers, engineers, and company leadership to define product strategy, identify market opportunities, and deliver products that solve real customer problems. You will help define the field of Agentic Security.

As an early product team member, youll have significant influence over both product direction and execution.

Responsibilities

Own product strategy, roadmap, and execution for key areas of the platform.

Deeply understand customer needs through direct conversations, feedback loops, and market research and translate them into actionable workflows.

Translate complex cybersecurity and AI concepts into intuitive product experiences.

Partner closely with Engineering, Security Research, Design, and GTM teams to deliver high-impact products.

Define product requirements, success metrics, and business outcomes.

Prioritize initiatives based on customer value, business impact, and technical feasibility.

Drive product launches and support go-to-market efforts alongside Product Marketing and Sales.

Analyze product usage, customer feedback, and market trends to continuously improve the product.

Key player in our founding team, helping shape our long-term product vision as we scale.

We are looking for an experienced Project Manager to lead and drive a strategic core business system, managing end-to-end projects, business requirements, system modernization initiatives, and collaboration with vendors and internal stakeholders.
What you'll do:
* Lead and manage a mission-critical Billing system used across the organization.
* Own and drive the migration of the system to Oracle APEX.
* Analyze current-state processes, identify gaps, risks, and dependencies, and define project roadmaps.
* Manage project execution with software vendors, development teams, and business stakeholders.
* Lead business requirements gathering, process analysis, and solution design activities.
* Oversee development, testing, training, implementation, and production deployments.
* Lead system Testing, Integration Testing, and User Acceptance Testing (UAT).
* Manage integrations between core business systems and external platforms.
* Coordinate change management, release management, version control, and issue resolution processes.
* Prepare executive presentations, status reports, and project updates for senior management.
* Lead steering committees, project governance meetings, and cross-functional discussions.