דרושים » תוכנה » SVP of Engineering

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Senior Software Development Engineer who leads through technical depth and sound judgment. Someone who owns team-level architecture, provides system-wide design guidance, and brings perspective on both current and future technology choices. You take on customer problems where the technological strategy is not yet defined, and you drive productive discussions to align teams on the best path forward. You dont just deliver high-quality software yourself - you set the standard that others follow. You actively mentor multiple engineers, drive adoption of engineering best practices, and ensure your team has strong operational foundations. You make the team permanently stronger, not dependent on your presence. When the right solution isnt technical - when its a process change, a culture shift, or a staffing decision - you recognize that and act accordingly.

Key job responsibilities
- Own team architecture of personalized recommendation system operating in our scale.
- Lead the design and delivery of cross-teams projects end-to-end, with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define technical roadmap and experiences based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and drive measurement strategies including analytics events and experiment configurations to track business and technical metrics.
- Create clarity from ambiguity and make sound technical decisions in a problem space where established patterns don't apply.
- Drive adoption of engineering best practices through exemplary personal coding practices.
- Proactively simplify existing systems and resolve endemic, root-cause problems.

we are looking for a Chief Architect, SASE/SSE.
The Chief Architect, SASE/SSE is the senior technical authority responsible for shaping and driving the end‑to‑end architecture, technology vision, and innovation strategy for HPEs SASE/SSE (Security Service Edge) platforms.
This role builds from first principles to support mission‑critical, global‑scale security and networking services, continuously pushing architectural boundaries to solve complex customer problems. The Chief Architect brings deep technical judgment, systems thinking, and industry perspective to translate customer, product, and business needs into secure, scalable, and differentiated cloud-native solutions.
Operating at the intersection of engineering, product, security, and business strategy, the Chief Architect ensures architectural coherence across data plane, control plane, identity, policy, analytics, and operations-while enabling teams to innovate and execute with speed and quality.
The Chief Architect is also expected to champion an AI-first mindset across the SASE/SSE platform and engineering organization, identifying where AI and automation can meaningfully improve customer value, engineering velocity, operational efficiency, and decision-making at scale.

we are looking for a Director of AI.
The Director of AI will lead the companys AI organization, including algorithm development teams, embedded algorithm engineers within product squads, and the Data Operations team.
This role combines strategic leadership with execution ownership, driving the development, deployment, and continuous improvement of AI-powered products across power transmission, border security, and critical infrastructure monitoring.
The Director of AI is accountable not only for algorithm innovation, but also for ensuring successful production deployment and measurable customer impact. This leader will establish a customer-first culture across the organization, aligning AI development priorities with customer needs, product objectives, and business outcomes.
The ideal candidate is a visionary yet execution-oriented leader who can bridge cutting-edge AI research with scalable production systems, build high-performing teams, and deliver measurable customer value.
Success in this role will be measured not only by algorithm performance, but by the ability to deliver AI capabilities into production and generate measurable value to our customers.
What Youll Do:
Lead the AI group, including algorithm development teams, embedded algorithm engineers, and data operations.
Build and mentor high-performing teams, fostering a culture of ownership, collaboration, continuous improvement, and customer focus.
Define and execute the AI roadmap in alignment with company strategy, customer needs, and product objectives.
Lead the development and deployment of AI, Machine Learning, Deep Learning, and Signal Processing solutions.
Own the full AI lifecycle, from research and experimentation through production deployment, monitoring, and continuous optimization.
Lead the Data Operations function, ensuring efficient annotation, labeling, and quality processes that support AI development.
Partner closely with Product, Engineering, and business leaders to maximize AI impact across the organization.
Engage with customers and stakeholders to understand challenges, identify opportunities, and drive measurable business value.
Communicate AI strategy, progress, opportunities, and risks to executive leadership.
Contribute to company strategy, product direction, and technology leadership.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of s most critical product areas.
You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.
A few of the things you will do:
Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.
Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.
Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.
Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.
Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.
Translate company and product strategy into clear engineering direction and measurable outcomes.
Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.
Improve how teams collaborate across domains by refining planning, processes, and communication.
Lead cross-team initiatives and manage dependencies across multiple stakeholders.
Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.

Were looking for a DevOps Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
Execution Quality Across Teams: Your influence will elevate engineering quality, decision-making, and operational discipline throughout the organization.

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.

What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.