We are seeking a Product Technical Architect to join our CTO Experts team, an exclusive and global group. Our mission is to spread the power of our company by mastering the product inside and out, guiding the world's leading cloud security teams to secure their cloud using an entirely new security approach. This role combines deep technical ownership with hands-on execution, driving product innovation and strategic influence while serving as a key bridge between Product, R&D, and customers, ensuring our technical strategy is aligned with market needs and innovative possibilities.
Responsibilities
Own a critical product technology domain and serve as the top technical authority for product architecture, complex escalations, and field challenges.
Architect and code the connective tissue between our company products and customer's complex, live Enterprise infrastructure.
Proactively identify customer needs and product limitations, and develop tools, automations, analytical engines, and Proofs-of-Concept to address them.
Work closely with the world's leading cloud security teams, meeting directly with strategic customers to understand their challenges and architect bespoke solutions.
Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Leverage product acumen to identify repeatable field patterns and friction points, converting them into reusable modules, architecture blueprints, or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill our company best practices, ensuring long-term project success and high end-user adoption.
Formalize product knowledge for internal and external reference and build knowledge for customers and field technical experts.
Solve complex problems hands-on daily, including modeling customer environments, writing scripts, proving tests, building dashboards, and implementing product improvements.

We are looking for a Technical Solution Architect to join our Solutions team. In this role, you will work closely with customers, Sales Engineers, Product, and Engineering to deliver successful Proofs of Concept (POCs) and solve complex technical challenges.

Everyone in our company is a builder. In this role, youll contribute directly to the platform by building product features, developing proof-of-concepts for customers, and creating internal tools that improve, streamline, and accelerate the POC process.

This is a highly hands-on position for someone who enjoys diving deep into customer environments, working with data, building technical solutions, and creating value beyond the product itself. You'll play a key role in helping enterprise customers realize the full potential of our AI security platform while influencing product direction through real-world customer feedback.


What You'll Do
Lead the technical execution of customer Proofs of Concept (POCs), from initial design through successful delivery.
Partner with Sales Engineers to provide deep technical expertise throughout the sales cycle.
Build tools to accelerate deployments and demonstrate customer value.
Participate in customer workshops, architecture discussions, and live debugging sessions.
Analyze raw customer data to uncover insights and validate platform capabilities.
Design creative technical solutions that address customer use cases, even beyond the platform's out-of-the-box capabilities.
Troubleshoot complex technical issues across customer environments and work closely with Engineering to resolve them.
Collaborate with Product and R&D to communicate customer feedback and influence future product capabilities.
Build technical best practices, reusable assets, and implementation playbooks to improve future deployments.
Serve as a trusted technical advisor throughout the customer journey.

We are seeking a skilled and adaptable Solution Architect to manage deep technical engagements during both pre-sales and post-sales activities. This role focuses on ensuring smooth deployment, addressing post-sales technical challenges, and delivering long-term value to customers by leveraging our advanced cybersecurity solutions.
Responsibilities
Build and maintain strong relationships with customers, serving as their trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including Research and Development (R&D) and Product, to align solutions with customer needs.
Assist in the technical aspects of Proof of Concepts (PoCs) and lead pre-deployment readiness.
Drive post-sales success by solving complex technical issues, and implementing solutions in collaboration with customer and internal teams.
Proactively identify and communicate opportunities for improving customer security posture through solution enhancements and integrations.
Conduct technical training sessions for customer teams to ensure seamless adoption and effective use of our platform.
Stay informed about the latest trends and technologies in cybersecurity, networking, and AI to provide cutting-edge solutions to customers.

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a As a Key Solutions Architect- Prompt, you will be tasked with supporting AI Security business (Prompt Security), you are the embedded technical consultant for our post-sales technical resource, guiding enterprise customers through deployment, onboarding, and long-term success on our platform. You'll work alongside senior Solutions Architects and Account teams, assisting in ad hoc troubleshooting and taking ownership of your own accounts as you build experience while getting mentorship on more complex engagements.

Cynet is seeking a Chief Product & Technology Officer (CPTO) to own Product Management and Engineering as one connected system for customer and partner outcomes. This leader will align Product and Engineering around the highest-value work, compress the delivery cycle for new lines of code that create measurable customer value, and ensure the platform gets stronger with every release. Depending on candidate profile and organizational design, the SVP Security Operations & Research / Adversary Operations function may also report into the CPTO organization. This is a dual mandate. Beyond owning technology and product, the CPTO serves as Managing Director of Cynet’s Tel Aviv office — the most senior executive on site and a stabilizing, unifying leadership presence. Working alongside the other Israel-based leaders, the CPTO is accountable for the stability, cohesion, culture, and continuity of the office, and for making Tel Aviv a destination for top engineering, product, and security talent as Cynet scales. Organization
* Product Management — product strategy, discovery, prioritization, roadmap, customer value, and delivery.
* Engineering — platform, endpoint, product engineering, architecture, quality, reliability, and development velocity.
* Potential Counter Adversary Operations alignment — depending on organizational design, detection IP, MDR delivery, cyber research, data science, infrastructure, and incident response may be aligned under or closely integrated with the CPTO.

What will you do:

* Own Product Management and Engineering, with accountability for product strategy, technology vision, delivery execution, and customer/partner outcomes.
* Create a high-velocity product and engineering engine that compresses the path from customer need to valuable code shipped, adopted, and measured.
* Harness AI across discovery, requirements, design, development, code generation, testing, documentation, release, support, and analytics.
* Bring deep cybersecurity domain fluency, including endpoint security, endpoint management, EDR/XDR, prevention, detection, response, and MDR workflows.
* Bring PLG experience and instincts, designing product experiences that accelerate activation, adoption, expansion, self-service, and measurable value.
* Listen actively to customers, MSP partners, sales, customer success, support, CyOps, and engineering teams, then incorporate the right feedback into strategy and execution.
* Build strong operating rhythms across product, engineering, security, and business teams, ensuring clarity, accountability, culture, and talent density.
* AI-forward operator who actively uses AI, automation, and modern tooling to improve team output, decision quality, and customer outcomes.
* Roll-up-the-sleeves executive who can move from strategy to execution without ego and is comfortable solving hard problems directly with the team.
* Exceptional communicator and collaborator who creates clarity, aligns cross-functional teams, and earns trust with colleagues, customers, partners, board members, and investors as appropriate.
* Customer-, partner-, and colleague-listening leader who builds tight feedback loops and incorporates the right input into priorities, operating rhythms, and execution plans. What Success Looks Like
* A predictable, high-quality release engine with measurable gains in velocity, stability, quality, and customer value delivered per engineering cycle.
* Product and Engineering operate as one system with clear priorities, faster decisions, better discovery, and stronger execution discipline.
* AI materially accelerates how Cynet builds and what Cynet products do for customers.
* Endpoint, cyber, MDR, and platform capabilities reinforce one another in a unified customer and partner experience.
* Product-led adoption improves activation, engagement, expansion opportunities, and customer feedback quality.

We are looking for a Senior Cloud Infrastructure and DevOps Solutions Architect to join its Infrastructure Specialist Team. Academic and commercial organizations around the world are using our products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!

We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation-serving as both a trusted advisor and a hands-on technical leader.

What Youll Be Doing:

Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).

Provide consultative guidance and perform hands-on troubleshooting across the full stack-from bare metal and operating system, through the software stack, container platform, networking, and storage.

Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.

Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.

Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.

Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.

Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.