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Were growing our Blockchain Security Research team. This is offensive-minded security work on real money-moving infrastructure: Breaking protocols before someone else does, and building the tooling and processes that keep them safe.

What youd do
Do forensic analysis of transactions, logs, and contract behavior to understand attack paths.
Own the end-to-end security of our on-chain protocols, including secure signing of on-chain transactions.
Hunt for vulnerabilities and exploits in protocols, smart contracts, and dApps.
Build detection and prevention tooling; initiate your own research and products.

Required Engineer III - SaaS Security Research
About The Role:
An industry leader in the emerging SaaS Security Posture Management (SSPM) market. Our culture is defined by great people with deep knowledge, integrity and values. Join our team and be a part of revolutionizing the way we help enterprises secure their SaaS ecosystem!
The designated candidate should have vast experience in SaaS security, strong technical cybersecurity background, and outstanding communication and execution skills.
What You'll Do:
Perform advanced security research in SaaS applications to identify security risks, and build product capabilities to proactively address them
Collaborate with cross-functional teams, including R&D, Customer Success, and Product Management, to integrate security practices into the product.
Stay abreast of the latest SaaS security threats, research, and technologies, integrating this knowledge into our security strategy.
Strong knowledge of cloud security best practices and past professional experience implementing.
Prepare and present detailed reports on findings and recommendations to relevant stakeholders.

As an Offensive Security Engineer, you will spearhead offensive security operations and lead advanced threat research initiatives, playing a pivotal role in safeguarding our organization and customers from evolving cyber threats. You will develop and execute Red Team exercises, simulate real-world attacks, and identify security weaknesses in systems and applications. We seek a highly skilled, proactive tech leader who thrives in challenging environments and is passionate about advancing security research and offensive strategies.

As an Offensive Security Engineer, you will
Lead, plan, design, and execute Red Team operations, threat modeling, and adversarial simulations against infrastructure and cloud environments.
Drive threat research and intelligence initiatives to stay ahead of emerging cyber threats, attack techniques, and vulnerabilities.
Develop and execute advanced attack scenarios to assess security defenses and provide actionable recommendations for improving security posture.
Collaborate closely with security engineering, DevOps, and software development teams to implement findings and enhance our defenses.
Lead the development of tooling, frameworks, and methodologies to automate and optimize Red Team exercises.
Mentor and guide a team of security professionals, fostering a culture of innovation, collaboration, and continuous learning.
Participate in incident responses when Red Team exercises reveal vulnerabilities, providing expertise on attack techniques, forensics, and post-attack mitigation.
Continuously assess and improve security processes, playbooks, and threat detection mechanisms.

Required Senior Security Researcher
Description
About us
We are building autonomous AI hackers that think like the world's best offensive security experts, act like them, and then help fix what they find before the real ones do. If this mission speaks to you, come defend the world's software: autonomously, continuously, and in-depth.
About the role:
This is a rare opportunity to work at the intersection of offensive security and AI - and to have your expertise shape a platform used at enterprise scale. As an Security Researcher, you will push the boundaries of what autonomous agents can achieve.
Your goal is to conduct cutting-edge research into novel attack vectors and vulnerabilities, using those insights to both sharpen our AI and lead the industry conversation on AI-driven security. Youll work alongside a tight-knit team building excellent software in the security space.
Responsibilites
Original Research: Develop new attack strategies and offensive testing techniques for web, network and AI targets, and translate real-world knowledge into improvements for the AI agent
Thought Leadership: Produce high-quality technical content, including research papers, stage demonstrations, or technical blog posts that showcase our unique capabilities and security philosophy.
Public Advocacy: Represent our research at major security conferences and industry events.
AI Enhancement: Part of the team improving the AI hacker to make it more dangerous and creative.
Collaboration: Work closely with AI and engineering teams to continuously improve agent capabilities and ensure research findings are integrated into the product.

As a key member of our research team, youll help us stay ahead of rapidly evolving threats by uncovering vulnerabilities, analyzing adversarial techniques, and producing groundbreaking insights that directly influence our product, marketing, and customer strategy.

Youll work alongside world-class engineers and security experts to conduct deep technical research, simulate real-world attacks, and create impactful proof-of-concepts (PoCs) that showcase how to protect AI-driven systems. This role is ideal for a hands-on security researcher who thrives on curiosity, creativity, and rigor, someone who wants to shape the future of AI security in a fast-moving product startup.

What Youll Do:
Drive AI Security Research: Investigate vulnerabilities in AI models, agentic platforms, and infrastructure- covering risks like prompt injection, adversarial manipulation, and model abuse.
Build Proof-of-Concepts: Develop technical PoCs that demonstrate real-world security threats and defenses, supporting both product validation and thought leadership.
Research new Prompt injection techniques: Implement novel techniques of adversarial attacks on AI systems in our automated red team module to evaluate resilience and inform customer-focused security offerings.
Track Competitors & Trends: Research the broader ecosystem of AI and cybersecurity to identify competitor capabilities, market shifts, and innovation opportunities.
Collaborate Across Teams: Partner with engineering and product to translate research into practical protections, product features, and marketing content.

Were looking for a Security Vulnerability Researcher to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.


This is a hands-on role for a seasoned offensive researcher who thrives on technical depth and creativity. Youll collaborate closely with product, marketing, and engineering teams to deliver research that drives customer trust, informs product direction, and shapes industry thought leadership.

What Youll Do
Perform AI-Focused Vulnerability Research: Investigate security risks in AI models, APIs, and infrastructure to uncover exploitable weaknesses and publish insights that strengthen our market leadership.
Lead Red Teaming Against AI Systems: Simulate adversarial attacks on AI pipelines and APIs, creating impactful PoCs that showcase real-world risk and defensive strategies.
Build Customer-Facing Proof-of-Concepts: Partner with product and engineering teams to design and deliver PoCs that align with customer use cases and highlight our security capabilities.

As Security Research Team Lead at our company, you will lead the team turning security research and enterprise security data into actionable insights and product capabilities. You will combine people management with hands-on technical leadership, helping customers understand their exposure and get more value from their security tools.
Were looking for a leader with a strong background in cybersecurity research, deep understanding of enterprise security tools, and a data-driven approach to solving problems. You should be equally comfortable mentoring researchers, shaping a research roadmap, and joining customer calls to explain findings and understand real-world challenges.
What You'll Do
Lead and Develop the Team: Manage, mentor, and grow a team of security researchers. Set clear goals, provide technical guidance and feedback, and build a culture of rigor, curiosity, and ownership.
Own the Research Roadmap: Define and prioritize research initiatives in partnership with product and engineering. Balance customer needs, emerging threats, and strategic opportunities, taking projects from initial investigation through production delivery.
Drive Security Tool Research: Lead deep research into enterprise security platforms, including EDR, SIEM, firewalls, IAM, and vulnerability management tools. Assess configurations, policies, coverage, and defensive capabilities to identify gaps and improve security effectiveness.
Engage Directly with Customers: Lead technical customer discussions, explain findings clearly, investigate complex questions, and turn feedback into research and product improvements.
Turn Data into Security Insights: Guide how the team collects, models, correlates, and validates security data. Translate fragmented telemetry and configuration data into reliable assessments, prioritized findings, and actionable recommendations.
Shape Integrations and Product Capabilities: Own the research requirements and security logic behind integrations, security control assessments, and exposure prioritization. Work closely with engineering to ensure research translates into accurate, scalable product features.
Set Research Quality Standards: Establish methods for validating findings, testing assumptions, and measuring accuracy. Ensure conclusions are supported by evidence and recommendations account for customer context and operational constraints.
Guide AI-Powered Research and Workflows: Shape the security knowledge, reasoning logic, and evaluation methods behind our companys AI-powered capabilities, ensuring outputs are accurate, explainable, and useful.
Partner Across our company: Collaborate with product, engineering, data, and customer-facing teams to align priorities, resolve technical challenges, and deliver meaningful customer outcomes.

As a Senior Security Researcher, you will bridge our core research initiatives at the intersection of proactive exposure management, agentic workflows, and scalable threat modeling. We are looking for an innovator who translates complex security data into product-driven features, taking full ownership from concept to production.
What You'll Do
Drive Product-Led Research: Translate complex, real-world security challenges into actionable, product-driven research. Take full ownership of research projects end-to-end, from identifying the security gap to collaborating with engineering to ship platform features.
Drive Proactive Exposure Management: Leverage Automated Security Control Assessments (ASCA) alongside vulnerability evaluation and prioritization to holistically assess organizational risk. Deep dive into enterprise security tools (EDR, SIEM, Firewalls, IAM, etc.) to analyze configurations, map defensive capabilities, and continuously evaluate their effectiveness against real-world threats.
Build Security Tool Integrations: Drive the technical research and define the data models required to actually build deep, functional integrations into diverse security platforms, ensuring the accurate extraction of telemetry, policies, and configuration data.
Build AI & Agentic Workflows: Define, design, and implement the logic and knowledge base that feeds our company's AI-powered agents, ensuring they deliver accurate, context-aware security guidance and automated risk assessments.
Map Attack Paths: Define realistic attack flows, identify toxic combinations of misconfigurations, and surface the security gaps that help customers prioritize the risks that actually matter.
Engage with Customers: Work directly with customers to help them understand their exposure, translate your research findings into meaningful posture improvements, and gather feedback to drive product innovation.
Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to embed security insights into everything we build.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.

Were looking for an experienced, multidisciplinary Security Engineer with a strong technical foundation and the ability to learn and own new technologies and domains from the ground up.Youll join Corporate Security Engineering within our Cyber Defense organization, Youll design, implement, and mature the security controls that protect our business applications, workforce, and corporate environment.
Youll work closely with Cyber Defense, IT, DRE, R&D, People, Legal, and GRC to embed security controls at scale. Our strategy is AI-first and built on identity-centric controls, Zero Trust principles, and scalable automation.
Youll Own
The security posture of our corporate technology stack, including AI security, identity, DLP and insider risk, EDR, MDM, browser security, SSPM/CASB, network security, and email and collaboration security.
Zero Trust access policies for workforce and external users, along with hardening for macOS, Windows, and Linux endpoints, browsers, SaaS applications, and corporate networks.
Identity and access capabilities, including SSO, phishing-resistant MFA, passwordless authentication, conditional access, device trust, PAM, joiner-mover-leaver controls, and service-account hygiene.
The evaluation and rollout of new security technologies, taking solutions from proof of concept through production.
Automated workflows and API integrations that scale security controls without adding operational overhead or headcount.
SaaS, third-party, and AI governance, including SaaS configuration reviews, vendor security assessments, access reviews, OAuth governance, posture remediation, and enablement-first guardrails for employee AI tools.
Domain expertise for SecOps incident response and partnership with IT and R&D to embed security standards and operating procedures into day-to-day processes.
Youll Solve
How to protect a fast-growing SaaS companys corporate environment across a broad and evolving technology stack.
How to translate security risks into clear requirements, practical controls, and reliable production operations.
How to strengthen identity, endpoint, SaaS, network, email, and collaboration security through a unified Zero Trust approach.
How to automate security processes and integrate systems so controls remain effective as we scale.
How to enable employees to use SaaS and AI tools safely through thoughtful guardrails rather than blanket restrictions.
How to make security standards easy for partner teams to adopt by embedding them into operational workflows and SOPs.
Youll Impact
The security and resilience of our business applications, workforce, and corporate environment.
Our ability to scale securely through stronger identity-centric controls, Zero Trust access, endpoint hardening, and SaaS governance.

Required Head of AI Security
As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
Our end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company

As a Trainer, you own how enterprise security teams learn the platform. You'll take analysts from their first query to advanced detection engineering and threat hunting, and you'll build the training content that makes that journey repeatable. You're equally comfortable leading a live workshop for a room full of cyber defense engineers, running a recorded Zoom session across time zones, and fielding the hard, specific questions that experienced practitioners ask.

This is a customer-facing, deeply technical role. You'll represent us in front of our most important customers, and what you hear in the classroom - the confusion, the "aha" moments, the recurring questions - flows back to our product and content teams to make the platform and its training better.


WHAT YOU WILL DO
Train enterprise security teams on the company`s platform, from onboarding sessions to advanced deep-dives.
Create custom training content - courses, hands-on labs, exercises, and reference material - tailored to customer environments and use cases.
Teach advanced usage to security teams: query language mastery, detection engineering, threat hunting, and investigation workflows.
Demonstrate complex attack techniques to security teams and explain how to detect and react to them.
Answer complex, real-world questions from customers during and after sessions, and know when to dig in yourself versus pull in the right expert.
Deliver sessions across formats: on-site workshops, live virtual sessions, and recorded content.
Share content publicly via our various platforms, including technical write-ups, recorded content, and online self paced training.
Help security teams understand how to build & integrate AI workflows into their security operations.
Interact with our community: Publish curated content, organize online events, build CTFs, engage with users and answer complex questions.