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The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

We are looking for an exceptional Senior AI Researcher to join our fast-growing company during a pivotal stage of market expansion. In this role, you'll lead groundbreaking research in SOC automation, develop industry-defining benchmarks, create innovative prototypes that transform into product features, and establish thought leadership through conferences and publications. If you're passionate about revolutionizing security operations through AI and excited about shaping industry standards, we'd love to hear from you!

What Will You Do?
Lead research initiatives that redefine SOC automation capabilities, creating industry benchmarks and evaluation frameworks for AI in security operations.
Design and develop functional prototypes that demonstrate breakthrough concepts, transitioning research into product features with engineering teams.
Collaborate with security researchers, Product Marketing, and the Head of AI to analyze competitors and align research priorities with commercial objectives.
Present findings at premier conferences (BlackHat, RSA) and publish tools/content that advance security automation and establish thought leadership.
Mentor engineering teams on advanced AI techniques and their practical applications in security contexts.

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our companys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

We are looking for an experienced and passionate R&D Team Lead to join our fast-growing company and lead our AI Engineering team- a new and growing team responsible for building production-grade AI features and infrastructure that power our product.
AI is central to our product strategy and growth. This team plays a pivotal role in bringing intelligence and automation to every part of our platform. This is a unique opportunity to take part in shaping one of the companys newest and most strategic initiatives, combining leadership, architecture, and hands-on development in a dynamic environment.

Our team moves fast, thinks creatively, and delivers high-quality, scalable systems using the latest technologies, all while enjoying the ride!

What Will You Do?
Lead the architecture, design, development, and deployment of AI driven product in production.
Manage and mentor a small, growing team of talented engineers, setting technical direction and driving excellence.
Youll be accountable for the performance, scalability, and adoption of AI-driven features across the product.
Work hands-on in Go and Python, delivering high-quality, testable, and efficient code.
Design and implement AI-based logic, automations, and data-driven capabilities deeply integrated into the product.
Collaborate with other R&D teams to bring intelligent capabilities into the companys core platform.
Define and promote best practices for scalability, reliability, and observability.

You will participate in the development of a new Linux-based security product using GoLang and C++. This role centers on designing and implementing core components of a multi-threaded Linux Agent that operates across Kernel and User space, with a strong emphasis on privilege management and threat detection.
Youll be deeply involved in:
Architecting scalable, modular, and testable systems.
Diving into Linux system calls, Kernel modules, User space and security frameworks.
Working across multiple Linux distributions to ensure broad compatibility and performance.
Developing and maintaining CI/CD pipelines using Jenkins.
Creating Python-based automation for testing and deployment.
This is a hands-on role requiring deep technical expertise, architectural vision, and the ability to work independently in a fast-paced environment.

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance our companys products and services. 
Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

We are looking for a DevOps Engineer to join our fast growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high quality and innovative solutions with the latest technologies and frameworks. And we never forget to enjoy the ride along the way!

What Youll Be Doing:
Championing DevOps culture: Identify friction points and implement scalable automation to improve reliability, delivery speed, and developer experience.
Operating and optimizing production environments: Leverage infrastructure as code and modern observability tools to ensure stability and performance.
Empowering R&D: Build intuitive internal tools that foster a self-service culture and enable teams to own their operational workflows.
Leading deployment lifecycles: Drive architecture, design, and hands-on implementation for deployments across multiple regions and environments.
Driving innovation with impact: Collaborate across teams, challenge the status quo, and take ownership of technical decisions.

We're looking for a proactive and analytical Cloud FinOps Engineer to join our team and take ownership of our cloud financial operations. In this role, you'll be the crucial link between our engineering, product, and finance teams, ensuring we build and run our cloud services efficiently and profitably. You won't just be reporting on costs; you'll be a strategic partner who drives financial accountability and intelligence across the organization. You will be working closely with the Chief Architect, VP R&D and the Platform teams.

What You'll Do
You'll dive deep into our cloud and SaaS spending data to uncover trends, identify optimization opportunities (like right-sizing, reserved instances, or savings plans), and work directly with engineering teams to implement your recommendations.
You will collaborate closely with Product Managers to analyze the underlying costs of customer usage. Your insights will directly shape our pricing models and help evaluate the commercial viability of new features and projects before they're built.
You'll establish and maintain our cloud cost governance framework. This includes perfecting our resource tagging strategy, managing cost allocation, and building automated guardrails to prevent budget overruns and wasteful spending.
You will build and manage insightful dashboards, reports, and alerts that provide clear visibility into our cloud spend for all stakeholders. When you spot an anomaly or a spike in costs, you'll be the one to investigate and escalate it.
You will work with our cloud and SaaS providers to understand their pricing models and discount opportunities. Where appropriate, you'll participate in negotiating contracts to ensure we're always getting the best value.
Keep a pulse on the latest industry trends, best practices, and emerging technologies in the FinOps space to ensure we remain efficient and competitive.

We are looking for an experienced AI Backend Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, engineer and optimize context and high-quality prompts, implement agentic architectures in production and evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model AI applications and collaborating with a team of experts, wed love to hear from you!

What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Take part in all the development and planning aspects of a backend application, understanding scale, performance, observability.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
Write thorough tests and maintain high-quality, well-documented code.
Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a seasoned and passionate Product Owner to join our group of data and ML engineers.
You will be responsible for filling the gap between the market requirements, management and the solution that determines how to implement these requirements in our data and ML frameworks. Using comprehensive business and technical knowledge, the PO accompanies the entire development process starting from the planning phase, through the development and testing process to successful release to our customers. The PO works closely with the Engineering Teams, Product Management, Analytics, Data Science, and Technical Writers.
What will you do:
Produce valuable content for our customers
Own the backlog - deconstruct large features to smaller pieces, define and prioritize the pieces that can compose a releasable feature
Be the central focal point for all parties outside of the development department for: how the framework works, what the product can do, and how a certain change will affect the framework
Analyze framework business requirements and produce a functional design
Utilize deep knowledge of the frameworks and its use by customers to work together with the rest of R&D, explain the requirements and answer any functional questions
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams.

we are looking for a Staff software engineer to join our elite team which is responsible for building one of our companys new SaaS products.
In this role you will be using AWS serverless architecture, GO, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
The team works in full collaboration with security architects, product managers and other development teams.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

Were hiring our first Security Researcher to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.

Responsibilities:
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.

Were hiring our first Product Security Researcher (SOC & Incident Response) to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.

Responsibilities:
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.