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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 DevOps Engineer, you will help lead our Infrastructure, SRE, CI/CD, Security, and Scale/Performance efforts. Your work will have a direct impact on development processes across the entire R&D organization.

You will take a leading role in defining and designing these systems, all to enable our Fullstack and Data teams to be as independent and successful as possible.

At Tailor Brands, the DevOps team doesnt manage all of our services on their own - they build the tools and guidance so our Development teams can own them end-to-end.

The team also builds and maintains internal AI-powered platform capabilities, including in-house MCP (Model Context Protocol) servers that support R&D and Data teams with enhanced automation, intelligent workflows, and AI-driven developer tools.

Take an active role in the DevOps engineering team that focuses on all aspects of CI/CD infrastructure, GitOps full automation, and operational metrics to ensure the highest productivity for our Cloud infrastructure. This includes contributing to new AI-augmented internal tools and workflows that improve engineering velocity and operational visibility.
Lead the design and delivery of software and infrastructure to improve the reliability, scalability, and efficiency of our services.
Design, develop, and maintain our core platform and CI/CD infrastructure and our development environments
Manage cloud security principles and define best practices
Build, configure, and tune highly available and fault-tolerant Container Clusters and K8s infrastructures
Take an active role in defining the teams roadmap
Develop automation to support our orchestration and application deployment
Participate in extending our platforms AI adoption across the organization by integrating LLM-powered capabilities into operational and developer workflows.

Nice to know:
We are located in Rothschild, Tel Aviv.
Our hybrid model includes four days in the office and one day at home.

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.

Build 0-to-1 & Expand
Lead the end-to-end delivery of new features and compliance products. You own the transition from a business concept to a live, polished service that helps entrepreneurs stay compliant.

End-to-End Monitoring & Accuracy Ownership
Design and own monitoring frameworks across the product flow-identifying where visibility is critical, defining what must be tracked, and building processes and alerts that ensure accuracy, compliance, and zero blind spots.

Product Optimization & Scaling
Use data, ops & dev to hunt for friction. Youll partner with Data, Operations, Legal and UX teams to reduce friction and fail points preventing fulfillment.

Fast-Turnaround Problem Solving
Take complex problems and translate them into simple solutions, ensuring our team becomes more efficient as we scale. Youll quickly analyze the impact, define the revised product logic, and work with Devs to deploy solutions in record time.

Data-Driven UX
Youll work with designers to ensure our products arent just functional but beautiful and intuitive, WHILE always using data to validate every design choice and measure every launch.

The Ops-to-Dev Catalyst
Work daily with our Operations team to identify ground truth challenges. You take those complex problems and translate them into clean logic for Engineering, ensuring our team becomes more efficient as we scale.

We are looking for an experienced and passionate R&D Team Lead to join our fast-growing company and lead a core engineering team responsible for building production-grade features and infrastructure that power our product.
Our engineering work is central to our product strategy and growth. This team plays a pivotal role in delivering scalable, high-quality systems and enabling automation across the platform.
This is a unique opportunity to help shape one of the companys 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 modern 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.

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.

Were looking for a design leader who not only responds to challenges but proactively creates opportunities, and raises the quality bar across the entire product design organization. If youre strategic, curious, and driven to make an impact - wed love to hear from you.
About the Role
Initiate and lead high-impact, cross-company design projects that align with our strategic goals.
Identify and propose new opportunities that improve our products, processes, and user experience.
Partner with senior stakeholders in Product, Engineering, and AI to define vision and priorities.
Drive end-to-end product design from problem definition and research to ideation, prototyping, delivery, and iteration.
Improve and evolve our product design processes to enable faster, higher-quality work.
Ensure design consistency and excellence across products through the design system and shared standards.
Measure the success of design solutions and iterate based on data and feedback.
Foster a culture of initiative, experimentation, and continuous learning.