Dash Security

About Dash Security Dash Security is building the security layer for the agentic enterprise - so teams can let AI run, securely. Enterprises are adopting AI agents across coding and productivity tools running in SaaS, cloud, and endpoints, and traditional security stacks don't work where agents interpret instructions, plan, and act at runtime. Dash discovers every agent, MCP server, skill, and interaction; captures full agentic sessions end to end; and observes, governs, and acts across every agent and interaction, everywhere they run - instantly. We exist to close the agent security gap with intent-aware runtime protection that scales with enterprise AI adoption. Dash is well funded and with co-founders that combine serial entrepreneurship with enterprise experience having built market-leading products and businesses at Akamai and Palo Alto Networks. Role Overview We are seeking a Head of Research to build and lead Dash's 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 Dash's product. You'll build the team, the threat intelligence function, and the processes that keep Dash 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 Dash 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 Dash's 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 Dash externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build Dash's reputation as the authority on agentic security. Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts. Qualifications BSc./MSc. in Computer Science, Security, or equivalent military/industry experience. 8+ years of security research (AI Security, AppSec, Malware Research, Endpoint Security, or Adversarial AI), including 3+ years leading a research team. Proven experience building threat intelligence or research processes from the ground up. Track record of proactively setting research direction and staying ahead of emerging threats. Public research record, such as vulnerability disclosures, CVEs, publications, or talks at major security conferences - an advantage. Deep familiarity with AI and agent attack surfaces, including prompt injection, tool and MCP abuse, agent hijacking, and data exfiltration. Hands-on experience with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of MCP servers, Skills, hooks, and similar agent tooling. Demonstrated ability to work closely with product and engineering to productize research into differentiated security outcomes and market-leading products. Strong grasp of cloud, SaaS, and endpoint security models, especially identity and data access. Proficiency in Python; familiarity with TypeScript or Go is a plus. Startup experience is a strong plus.

About Dash Security Dash Security is building the security layer for the agentic enterprise - so teams can let AI run, securely. Enterprises are adopting AI agents across coding tools, SaaS, cloud, and endpoints, and traditional security stacks don't work where agents interpret instructions, plan, and act at runtime. Dash discovers every agent, MCP server, skill, and interaction; captures full agentic sessions end to end; and observes, governs, and acts across every agent and interaction, everywhere they run - instantly. We exist to close the agent security gap with intent-aware runtime protection that scales with enterprise AI adoption. Role Overview We are seeking an experienced product manager to join Dash's core product team. You'll have significant influence over both product direction and execution and lead strategic product initiatives across the Dash platform. This is a highly impactful role at the intersection of AI, cybersecurity, and enterprise software. You'll 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, you'll have significant influence over both product direction and execution. Responsibilities Own product strategy, roadmap, and execution for key areas of the Dash 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 Dash's founding team, helping shape Dash's long-term product vision as we scale Qualifications 3+ years of Product Management experience, preferably in cybersecurity, AI, SaaS, developer tools, or enterprise software Proven track record of leading products from concept to launch Strong customer-facing skills and experience conducting customer discovery High ownership, accountability and leadership skills Ability to navigate ambiguity and make decisions in fast-moving startup environments Excellent communication and stakeholder management skills Strong analytical thinking and product prioritization capabilities Experience working closely with technical teams and translating technical concepts into customer value Entrepreneurial mindset, self-driven, curious, and eager to define the next frontier of enterprise security Nice to Have Experience in cybersecurity, application security, cloud security, or AI products Experience building platform products or workflow-driven enterprise software Experience working in high-growth startups BSc. in Computer Science, or technical background in software engineering, security, or data products

About Dash Security Dash Security is building the security layer for the agentic enterprise - so teams can let AI run, securely. Enterprises are adopting AI agents across coding tools, SaaS, cloud, and endpoints, and traditional security stacks don't work where agents interpret instructions, plan, and act at runtime. Dash discovers every agent, MCP server, skill, and interaction; captures full agentic sessions end to end; and observes, governs, and acts across every agent and interaction, everywhere they run - instantly. We exist to close the agent security gap with intent-aware runtime protection that scales with enterprise AI adoption. Role Overview We are seeking an AI Security Researcher to join Dash's core research team. You'll 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 Dash's detection pipelines, session-aware runtime protection, and policy/governance modules. Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dash's detection and enforcement coverage. Qualifications BSc./MSc. in Computer Science, Security, or equivalent military/industry experience. 4+ years of security research (AppSec, malware, adversarial AI, or platform security). Experience with Agentic AI security research is an advantage. Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling. Experience with AI systems, agent frameworks, or protocol security (e.g., LangChain, MCP, A2A) is a strong plus. Proficiency in Python for prototyping, research tooling, and detection logic; familiarity with TypeScript or Go is a plus for collaborating with engineering. Strong grasp of cloud, SaaS, and endpoint security models, especially identity and data access. Demonstrated ability to transform research into productized runtime detections. Self-driven, curious, and eager to define the next frontier of enterprise security.

About Dash Security Dash Security is building the security layer for the agentic enterprise - so teams can let AI run, securely. Enterprises are adopting AI agents across coding tools, SaaS, cloud, and endpoints, and traditional security stacks don't work where agents interpret instructions, plan, and act at runtime. Dash discovers every agent, MCP server, skill, and interaction; captures full agentic sessions end to end; and observes, governs, and acts across every agent and interaction, everywhere they run - instantly. We exist to close the agent security gap with intent-aware runtime protection that scales with enterprise AI adoption. Role Overview We are seeking a Software Engineer to join Dash's 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 Dash 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. Qualifications BSc./MSc. in Computer Science or equivalent industry experience. 5+ years of professional software development experience, preferably building scalable distributed systems. Proficiency in TypeScript and Node.js with a preference for backend development. Experience with Go or Python is a plus. Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling. Experience with cloud computing platforms (preferably AWS) and containerization (Docker, Kubernetes). Solid understanding of system design, data structures, algorithms, and microservices architecture. Familiarity with databases (SQL and NoSQL) and event streaming technologies (e.g., Kafka). Demonstrated ability to write clean, efficient, and well-tested code. Curious, self-driven, and eager to contribute to a rapidly evolving field like agentic security.