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Were growing and looking to hire a Director of Data & AI who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments-without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
We are seeking a visionary Director of Visibility to lead our core technology engine. This is a highly unique role that demands both top-tier professional expertise in cybersecurity research and the ability to seamlessly integrate Data Science and AI in a precise, highly productive manner. We have ambitious visibility goals that require uncompromising accuracy. Your mission is to combine precise, in-depth professional understanding of Cyber-Physical Systems (CPS/XIoT) with the immense scale and capabilities of AI. You will lead a multidisciplinary group comprising Data Science, Network/Protocol Research, and Asset Classification teams to revolutionize how we discover, classify, and secure critical assets across industrial (OT) and healthcare (IoMT) environments.
Responsibilities
As a Director of Data & AI your impact will be:
Multidisciplinary Leadership: Manage, mentor, and synchronize three distinct teams (Data Science, Network Research, and Asset Classification), ensuring cross-functional synergy and unified product delivery.
Scaling Accuracy with AI: Architect our visibility solutions to achieve unparalleled precision. Blend deep professional domain knowledge with advanced ML to scale asset discovery without sacrificing the exactness required in critical infrastructure.
Feature Engineering & Parsing: Oversee the translation of obscure, undocumented industrial and medical protocols into actionable features for our AI models.
Cross-Department Collaboration: Work closely with various data groups, product management, and R&D teams to translate network visibility into actionable risk management, segmentation, and threat detection policies.
Advanced Data Fusion & Collection Strategy: Manage diverse collection techniques (passive, active, and integrations), and architect how to fuse information for every single device at the scale of AI-bridging applications, algorithms, LLMs, and beyond.

Were growing and looking to hire a Senior Manager, Software Engineering - xDome who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose, and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments, without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
As Senior Manager, Engineering, you will lead two core R&D teams behind Network Protection and Anomaly & Threat Detection for our flagship SaaS platform, xDome.
In this role, you will build and scale high-impact, distributed security systems while leading the design of production-grade agentic services (policy recommendations, threat triage, and guided response).
Responsibilities
As a Senior Manager, Engineering - xDome, your impact will be:
Team Leadership: Lead, mentor, and develop Team Leads and Senior Engineers into strong technical owners.
Technical Architecture: Own system coherence across stream processing, large-scale analytics, and cloud-native detection/enforcement engines.
Execution & Impact: Set high standards for quality, resilience, and security while delivering customer-facing features and AI-driven capabilities.
Cross-Functional Collaboration: Partner closely with Product, Security Research, and Platform teams to deliver a unified customer experience.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our subscription management products.

As a Director of Engineering , you will...
Build, lead, and mentor multiple cross-functional teams of managers and developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows that will enable rapid innovation while ensuring enterprise-grade quality of the delivered product
Own the AI enablement vision for your organization: identify where AI can meaningfully accelerate the software development lifecycle, build the roadmap, and drive hands-on execution
Act as a key partner to business stakeholders-product, sales, finance, and executive leadership-in translating business goals into engineering strategy and representing engineering priorities in company-wide decisions
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by customers

We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.
What You'll Do:
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.
Lead & Grow Engineering Teams: Lead, mentor, and grow our R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.
Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.
Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.
Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.
Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.
Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

We're looking for a business-minded, technically strong leader to lead Business Applications and play a key role in building a more autonomous company. You'll work across the company to unpack complex problems, spot where technology creates real leverage, and lead a team that turns those opportunities into working solutions, from AI agents and automation to custom builds, integrations, and enterprise platforms.
We believe two things matter for every leadership role: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Get deep into how teams operate, understanding their goals, economics, workflows, and constraints to identify the highest-leverage opportunities for technology
Build toward a more autonomous by identifying where work can be fundamentally redesigned through agents, AI, and software, then leading the team in making it real
Own problems end-to-end, from framing the problem and shaping the solution through implementation, adoption, and measurable impact
Shape a forward-deployed BizApps model where the team works close to the business, moves quickly, prototypes fast, and shares accountability for results
Lead and grow a strong team that combines business understanding, product thinking, and technical depth, raising the bar for ownership, curiosity, and speed
Build a point of view on where technology creates the most leverage across, then turn that into a portfolio of initiatives you drive from opportunity to measurable impact.

We're looking for a Senior Director of Engineering to help scale how we build and own the core of our business. This role sits at the center of our R&D organization, partnering closely with senior product and tech leadership to raise the bar on engineering culture, team structure, and platform ambition.
We believe two things matter for every leadership role: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead multiple engineering domains, owning the structure, standards, and performance of teams that build our core product
Drive strategic initiatives that increase engineering leverage, so we can do more with smaller, sharper teams
Partner with senior product and tech leaders to shape how we build, not just what we build
Architect next-generation platforms that support our evolving product vision and scale with the business
Attract, develop, and retain high-performing engineers, holding a high bar at every stage of the hiring and growth process
Turn complex business problems into technical solutions that are clean, scalable, and built to last
Embed AI into how we develop and ship, using it to accelerate delivery and raise the quality ceiling.

As Senior Manager in the development organization, youll need to combine leadership, team building, technological problem solving, direct and matrix management, risk management, and career development of direct response to empower our most valuable asset - our engineers.

As a Senior Manager, youll:

Leading 2 squads in the protocols domains (S3, NFS, SMB) located in Israel and the US, whose mandate is mainly on the datapath aspects of the stacks, but not just.
Leading experienced developers, accountable for both development and quality aspects.
Grow the team and team leaders, and manage the career development of team members.
Be a direct address for everything related to teams activities and members.
Work closely with program management, product management, and other technical managers to lead the teams deliverables from planning to release.
Engage with PM and field teams to understand the requirements, pains, and what is required to move the needle.
Build and maintain the technical debt backlog and promote it into ongoing releases.
Assume nothing - constantly revisit how we work and whether our productivity is perfectly tuned.
Provide transparent progress and risk analysis.
Promote and participate in beautiful designs, efficient code, and collaborative code reviews.
Own and promote quality in every part of the deliveries and activities.
Be a manager - recruit, nurture, and manage retention.
Be a mentor - provide ongoing feedback, both good and constructive.
Be a leader - demonstrate a can-do attitude, and promote company goals.

As Team Lead in the Control Group, youll need to combine team leadership, team building, technological problem solving, direct and matrix management, risk management, and career development of direct response to empower our most valuable asset - our engineers.

As a Team Lead, youll:

Grow the teams and manage the career development of team members.
Be a direct address for everything related to team activities and members.
Own knowledge domains within the product's control plane
Lead the design and architecture of critical features in the product
Take initiatives within the group to improve our products, you will be very encouraged to invent new ideas
Work closely with product management to prioritize work items and understand their business value
Assume nothing - constantly revisit how we work and whether our productivity is perfectly tuned.
Promote and participate in beautiful designs, efficient code, and collaborative code reviews.
Own and promote quality in every part of the teams deliveries and activities.
Be a manager - recruit, nurture and manage the retention of team members.
Be a mentor - provide ongoing feedback, both good and constructive
Be a leader - demonstrate a can-do attitude, and promote company goals.

Join a platform engineering team and provide hands-on technical leadership in evolving a Kubernetes-based platform for enterprise network applications, shaping how applications integrate with and operate across cloud, hybrid, edge, and customer-managed environments.

Define platform architecture, technical strategy, and multi-release roadmaps; translate product and operational needs into clear designs and implementation plans.
Design and evolve Kubernetes capabilities, including cluster lifecycle, controllers and reconciliation, custom resources, scheduling, networking, storage, service discovery, and upgrades.
Lead the design and development of shared platform services for connectivity, identity and access management, distributed data, observability, lifecycle automation, and administration.
Improve reliability and security through high-availability design, recovery, backup and restore, capacity planning, production debugging, threat modeling, and vulnerability remediation.
Prepare the platform for future AI workloads through workload isolation, resource governance, secure model serving, telemetry, and accelerator support.
Raise engineering standards through hands-on development, design and code reviews, automated testing, CI/CD, incident analysis, mentoring, and AI-assisted engineering workflows.

You will lead sophisticated, multi-functional programs spanning silicon development, firmware, and system delivery, driving execution from initial concept through production. You will collaborate with engineering and operations teams to deliver high-quality solutions, craft effective processes, and ensure strategic alignment across the organization.

Specific Responsibilities include:

Driving end-to-end program execution for the Silicon One ASIC software ecosystem, including integration with industry-leading network operating systems.
Serving as a key interface for New Product Introduction (NPI) programs for next-generation Cisco Silicon One devices.
Leading cross-functional alignment across engineering teams in a globally distributed environment.
Owning program schedules, milestones, dependencies, risk management, and executive communications.
Partnering with software engineering leaders to ensure tight hardware/software co-development and integration.
Liaising with Cisco internal business units and customers to collect requirements and manage prioritization across competing stakeholder interests.
Driving accountability for outcomes while working through influence in environments with high ambiguity, rapid change, and ambitious timelines.