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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.

We're looking for an experienced Security Researcher to join our core team and deep dive into CVEs, conducting cutting-edge vulnerability research that directly powers our company's revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Conduct deep-dive research into CVEs and vulnerabilities, analyzing root causes and attack vectors to inform our AI-powered prevention platform
Perform reverse engineering analysis using tools like IDA Pro, Ghidra, or similar platforms to understand complex security vulnerabilities and exploitation techniques
Research and analyze complex low-level system mechanisms including kernel vulnerabilities, network security issues, and operating system weaknesses
Think outside the box, challenge existing assumptions, and create innovative approaches to vulnerability research and prevention
Work in a unique environment where your research insights are rapidly implemented into our product, creating direct real-world impact from your vulnerability research
Contribute to our company's technical knowledge base and help establish new methodologies for proactive vulnerability identification and mitigation.

We're looking for a Software Engineer to join our team and take ownership of building, maintaining, and shipping our company's CVE-free container images, libraries, and Helm charts at scale.
Responsibilities:
Build and maintain vulnerability-free container images, libraries, and Helm charts, working at the intersection of Linux systems, package management, and security,
Own the full artifact lifecycle - sourcing, patching, validating, and releasing new versions across images, libraries, and Helm charts
Clean CVEs end-to-end: scan, triage, patch, and validate fixes across our artifact pipelines
Ramp up on AI-assisted workflows and our current tooling to work efficiently at scale.

We're looking for a Senior Product Manager to own a core area of our company's platform. You'll work closely with engineering, security research, and customers to get there.
Responsibilities:
Shape what your area builds next, backed by customer and market signal.
Work with engineering to take ideas from concept to shipped product, fast.
Use product and usage data to find the biggest opportunities for growth and impact.
Talk to customers directly to understand where the product can go further for them.
Own the numbers that show your area is scaling: coverage, adoption, automation, or the equivalent for your domain.

We are seeking a Head of Research to build and lead our research group reporting to the Co-founder and CTO. You'll set the research agenda for how AI agents, spanning coding agents, SaaS AI platforms, cloud, and endpoints, can be abused, and you'll turn that research into the detections and runtime protections that define our product. You'll build the team, the threat intelligence function, and the processes that keep us ahead of a threat landscape that changes weekly. This is a hands-on leadership role. You'll still go deep on platforms and attack paths while scaling research into a core differentiator of the company. You will help define the field of Agentic Security and be one of its leading voices.

Responsibilities

Lead and grow the research team: Hire, mentor, and manage AI security researchers. Build a culture of rigor, speed, and ownership.

Own the research direction: Proactively identify emerging agentic threats and platforms, prioritize research projects, and set a roadmap aligned with product and customer needs.

Build threat intelligence processes: Establish how we collects, triages, and operationalizes threat intelligence on agentic attacks. This includes in-the-wild abuse, malicious MCP servers, skills and extensions, and new techniques from the research community.

Drive research into product: Partner closely with engineering and product so findings become production detections, runtime policies, and governance capabilities. Own the coverage and quality of our detection logic.

Define detection strategy: Set standards for detection logic across environments, including coverage models, efficacy measurement, and false positive and false negative management at enterprise scale.

Stay hands-on: Lead deep dives into platform architectures, monitoring and enforcement boundaries, and end-to-end PoCs for the most critical attack paths.

Represent us externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build our reputation as the authority on agentic security.

Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts.

Were looking for a Senior Product Manager to own and scale our companys image factory. Youll design systems that handle artifact updates automatically and reliably at scale.
Responsibilities:
Own the product roadmap for our companys image factory - the internal system that builds, tests, and releases images, libraries, packages, and charts at scale.
Work with DevOps, platform, and backend engineers to define and prioritize internal tooling and workflows that increase automation, reliability, and throughput across the build pipeline.
Turn operational pain points into product requirements that reduce manual work and streamline releases.
Use build and dependency data to identify bottlenecks, measure performance, and guide continuous improvement.
Ensure the factory evolves to support thousands of images, hundreds of thousands of tags, and millions of libraries with consistency and speed.