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We are looking for a Principal AI Security Researcher with deep, hands-on expertise in AI red teaming and AI security to lead and scale RLGym’s AI security research efforts. This is not a traditional cybersecurity leadership role. We need someone who has directly worked on breaking, attacking, testing, and securing AI systems, particularly large language models (LLMs), generative AI applications, and agentic AI systems. The ideal candidate has significant practical experience designing and executing AI red-team programs, developing adversarial attacks, identifying AI-specific vulnerabilities, building automated red-teaming capabilities, and translating findings into effective guardrails and security protections. What you'll be doing:
* Lead and scale multidisciplinary teams focused on AI red teaming, adversarial testing, and AI security research.
* Design and execute sophisticated attacks against LLMs, GenAI applications, and agentic AI systems.
* Research attack techniques including prompt injection, jailbreaks, indirect prompt injection, tool abuse, agent manipulation, data leakage, model misuse, and adversarial behavior.
* Build and evolve AI red-teaming engines and automated adversarial testing systems, including RLGym.
* Building and scaling global AI security teams (red teaming, adversarial research, guardrails engineering) while fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails – including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).


About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Required Staff Embedded Firmware Engineer, High Speed DSP
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Staff Embedded Firmware Engineer for High-Speed DSP, you will architect and define the low-level firmware and control loops powering the world's most advanced physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our planetary-scale AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
Define the long-term firmware roadmap and hardware-software partitioning for physical-layer interfaces, determining the optimal balance between hardware-fixed logic and programmable firmwarm.
Architect advanced "in-situ" monitoring systems and firmware-driven diagnostics to track physical-layer link health, Bit Error Rate (BER) trends, and channel quality across millions of ports in real-time.
Design, model, and implement bare-metal or RTOS firmware to control high-speed transceivers, managing real-time adaptive loops, clock and data recovery (CDR), and physical-layer calibration.
Partner with TPU Systems, Networking Software, and High-Performance Computing (HPC) teams to ensure silicon firmware integrates seamlessly with global cluster management and collective communication frameworks.
Identify and de-risk hardware-software interface bottlenecks (e.g., register maps, driver latencies, and boot-up sequencing) that impact our AI infrastructure.

We are looking for a Senior Full Stack Engineer to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface.
Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The Job:
As a Senior Full Stack Engineer, you will play a key role in designing, building, and scaling our core systems and features. You will take ownership of a new and developing product, working end-to-end from architecture through implementation to delivery.
Youll design and develop scalable backend services, build full-stack product features, and integrate with diverse external APIs. Your work will directly impact system reliability, scalability, and performance. Youll collaborate closely with Product, QA, Design, and DevOps teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
Tech stack: Python, React, TypeScript, AWS, Kubernetes, SQL/NoSQL databases.

We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.
Key Responsibilities:
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Founding Backend Engineer to build the systems behind Zipher’s autonomous execution engine. You will own core infrastructure that turns high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.
What You’ll Do
* Architect and scale the core backend services that power real-time workload orchestration, optimization, and self-healing
* Build resilient, high-throughput systems for processing distributed state, event streams, and production telemetry at scale
* Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
* Partner closely with data, ML, and platform engineers to bring optimization models and control loops into reliable production systems
* Drive architectural decisions, raise the engineering bar, and own services from design through deployment, observability, and incident response
What We Offer
* A chance to build the core execution engine for a new category of autonomous cloud infrastructure High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity
Ready to build the infrastructure that lets data and AI workloads run autonomously? Hit Apply.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building Sensor.
This team owns the entire endpoint agent, which is the backbone of collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
The Responsibilities:
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

We are looking for a Senior Windows Engineer who is passionate about software design, code quality, and performance. You'll be part of our Detection group, which means that you'll work on our EDR product. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.
The Responsibilities:
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

Were looking for a Senior Product Designer to own the design of how analysts, investigators, and decision-makers interact with complex AI systems in high-stakes, data-dense environments. Youll be the first designer in the Sovereign AI division - which means youll defining standards, update or rebuild the design system, and becoming the teams authority on how users experience our products.
Over time, youll develop deep domain expertise in the investigative and analytical workflows our systems support - and that expertise will make you a critical voice in product and technical decisions. Youll work at the intersection of complex data, AI, and national missions - where every design decision carries real weight. We need someone who takes full ownership, moves with urgency, and proactivly.
The Responsibilities:
Own the design direction - Lead the design vision for the divisions products. Youre not executing someone elses spec - youre shaping what these products look and feel like from the ground up.
Become the domain expert - Develop deep fluency in the investigative, analytical, and decision-support workflows our users rely on. Bring that understanding into every design decision and be the voice of the user in product discussions.
Design for high-stakes environments - Create intuitive, user-centered experiences for mission-critical, AI-driven analytical systems where explainability, auditability, and trust are non-negotiable.
Translate complexity into clarity - Turn complex investigative and analytical workflows into clear, structured product experiences that expert users can rely on.
Build the design foundation - Establish and evolve the design system and design standards for the entire Sovereign AI division. Set the bar for quality and consistency as the team grows.
Collaborate across disciplines - Work closely with product managers, engineers, data scientists, and business stakeholders.
Drive the full lifecycle - From concept and prototyping through execution and postdeployment iteration - you own it end-to-end and push for continuous improvement.
Communicate with impact - Present design rationale and trade-offs clearly to senior stakeholders and cross-functional partners.

We are looking for a strategic Head of UX to help shape the future of our work in Agentic AI and the Sightline Cyber Defense platform, which protects some of the world's largest commerce and content websites. The Head of UX will shape the user experience of how consumers are challenged and authenticated into these platforms, and how internal teams for Sightline customers are able to quickly turn data into AI-based insights.
What Youll Do:
Define and drive the UX strategy and design for our Sightline Cyber Defense platform and emerging Agentic AI products.
Conduct user research and transform user telemetry into insights
Lead the end-to-end design process, overseeing everything from deep user research and journey mapping to high-fidelity prototyping and visual design.
Design intuitive, seamless authentication and challenge experiences that balance security with a friction-less consumer experience.
Create sophisticated data visualization and dashboard experiences that empower security teams to quickly interpret and act on AI-based insights.
Partner closely with Product Management and Engineering to ensure design consistency, technical feasibility, and high-quality implementation.
Establish and maintain a robust, scalable design system to ensure a cohesive look and feel across all product touchpoints.

We are looking for an experienced DevSecOps Engineer to join our DevOps core platform team and help strengthen the security of our cloud-native infrastructure and development pipelines.
You will work closely with our CISO, DevOps team, and developers to integrate security practices across the entire software development lifecycle (SDLC), helping ensure a secure, scalable, and resilient platform across cloud and on-prem environments.
The Responsibilities:
Integrate security practices into CI/CD pipelines and across the SDLC
Design and implement automated security solutions (vulnerability scanning, compliance checks, threat detection)
Build and maintain Infrastructure as Code (IaC) for secure, scalable cloud environments (Terraform, Ansible)
Automate security controls and operational processes across cloud and Kubernetes environments
Design, implement, and optimize CI/CD pipelines with a focus on security, reliability, and performance
Secure cloud and on-prem environments (IAM, network controls, encryption best practices)
Manage and harden Kubernetes workloads, including configuration, access control, and image security
Collaborate with DevOps, developers, and security teams to improve system reliability and overall security posture
Conduct security assessments, penetration testing, and compliance audits
Monitor threats, respond to incidents, and improve incident response processes
Promote DevSecOps culture by guiding teams on secure coding, infrastructure, and deployment practices
Enhance observability by integrating monitoring, logging, and SIEM solutions

We're building Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Responsibilities:
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.
What youll do:
High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.
End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.
Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.
Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.
AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.
Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.
Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

We are looking for a seasoned, strategic Senior Fullstack Engineer to help shape the future of our work in Agentic AI. This critical role involves end-to-end development of advanced client and server features, handling large-scale data, aggregations, and cutting-edge UI/UX design. You will work on mission-critical technologies, collaborating with engineering, design, and data science teams to deliver impactful solutions.
What you'll do:
Design and implement scalable fullstack architectures using React and Node.js.
Develop and maintain high-performance services and data pipelines, managing large-scale data aggregations.
Collaborate with cross-functional teams - including product, design, and research - to integrate and ship new features.
Troubleshoot complex production issues and optimize system performance.
Champion secure coding practices and clean code standards.

Were looking for a curious and analytical Product Analyst to join our Product Analytics team. In this role, youll work closely with Product Managers, Growth teams, and engineers to analyze product performance, uncover insights, and support data-driven product and business decisions across our mobile app portfolio.
Key Responsibilities:
Analyze product performance across user funnels, engagement, retention, and monetization in our mobile apps.
Partner with Product Managers to define success metrics and evaluate the impact of new product features.
Design, analyze, and interpret A/B tests to measure product improvements and optimizations.
Translate product questions into structured analyses and clear, actionable insights.
Define and maintain product analytics events and tracking specifications in collaboration with Product and Engineering teams.
Ensure accurate instrumentation and reliable tracking of user behavior across the apps.
Build and maintain dashboards and reports using Tableau and Looker.
Use SQL to explore large datasets and identify patterns, opportunities, and performance drivers.
Ensure product metrics are clearly defined and consistently used across dashboards and reporting tools.
Present insights and recommendations to product teams and other stakeholders.

We are looking for a seasoned and execution driven DevOps Team Lead. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D.
What Youll Do?
Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes.
Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc) to drive efficiency, agility, and performance across the organization.
Use AI-powered tools and agentic workflows to improve R&D efficiency.
Design and maintain cloud environments using Infrastructure as Code.
Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more.