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We are looking for a hands-on Program Manager to own customer delivery from supporting pre-sales through contract signature, and until full deployment

This role serves as the operational owner of the customer inside the company, working closely with Sales and cross-functional teams.

The ideal candidate can effectively combine small ongoing activities with large, complex deployment programs.

What you will do
Manage complex, multidisciplinary projects end‑to‑end across the EMEA region.
Coordinate installations and delivery involving hardware, contractors, and diverse technologies.
Serve as the operational point of contact for customers, ensuring an excellent experience.
Work closely with Sales, Engineering, Operations, and global teams in a joint ownership model.
Present project status, risks, operational insights, and P&L impact to leadership.
Travel to customer sites when needed, including remote regions.

The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.

Required ML-Engineering Lead
Our people are our greatest strength - and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones - with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. Were proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
The Opportunity
We are starting a new ML/AI organization directly reporting to the CTO, to pioneer next-generation capabilities for our industry-leading defense systems. As a Founding ML-Engineering Lead, you will be the technical cornerstone of this initiative. This is a high-impact role designed for a practitioner who seeks total technical ownership of the machine learning lifecycle. You will be responsible for taking novel AI projects from initial concept through data collection, design, implementation, and evaluation, all the way to deployment.
The Technical Challenge Our ML initiatives span a diverse technical landscape. You will lead projects that range from field-oriented applications, where high accuracy and reliability are paramount, to research-oriented tools and agentic workflows designed to enhance our R&D capabilities and accelerate complex data analysis. Working in deep collaboration with our R&D teams, you will leverage unique, proprietary data to solve problems at the forefront of the counter-drone industry.
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.

We are seeking an exceptional Software Team Lead to guide the development of our runtime software stack. This role requires a rare combination of deep technical expertise, hands-on coding ability, and proven leadership experience. You will own the architecture, implementation, and system-level integration of drivers, runtime components, and low-level system software, driving technical excellence and performance across the stack. The ideal candidate thrives under pressure, takes full ownership of outcomes, and sets the bar for quality and innovation in the team.

Responsibilities
Lead and mentor a team of runtime and embedded software engineers, setting the standard for technical excellence.
Define and drive the architecture, roadmap, and performance expectations for the runtime stack, ensuring scalable, robust, and high-performance solutions.
Oversee cross-team software projects from concept through production, while remaining hands-on in coding, debugging, and system bring-up for critical components.
Establish rigorous standards for testing, CI/CD, and software lifecycle processes, ensuring maintainable and reliable delivery.
Conduct architecture and performance reviews, providing decisive guidance in ambiguous or high-pressure situations.
Collaborate deeply with architecture, compiler, hardware, and platform teams to deliver cohesive, system-level solutions.
Provide technical leadership to resolve conflicts, make tough trade-offs, and uphold engineering excellence.
Recruit, mentor, and retain top-tier engineering talent.

We are seeking a Lead Software Engineer to join the AI Workspace team at Tricentis. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
What You'll Do:
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

Were looking for an experienced Software Team Lead to join our Secured Access engineering team. In this role, you will lead a strong group of engineers in designing and building user-facing, product-grade web security solutions that protect our customers online presence, alongside internal infrastructure platforms used across the company. You will take ownership of architectural decisions, guide the team through complex engineering challenges, and drive the delivery of scalable, reliable, and maintainable systems. As a hands-on leader, you will combine technical expertise with mentorship, fostering high standards and enabling the team to successfully deliver impactful product and infrastructure solutions.
Responsibilities:
Lead and develop a new SaaS product from scratch to production, and participate in defining the specifications, architecture, and other tech-related areas of the project.
Build an excellent team - through recruitment, mentoring, and day-to-day management
End to End development from the processing of large-scale data to web interfaces
Working closely with multiple stack holders - product management, research, SOC and NOC services, and automation teams
Designing and Implementing enterprise platform solutions
Researching new technologies and adapting them for use within the companys product
Collaborating with multiple development teams.

We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation NIC, Switch, and Networking technologies, spanning the full lifecycle from pre-silicon performance modelling (simulation and emulation) through bring-up, validation, and GA readiness. The ideal candidate will lead cross-functional performance efforts across multiple teams to evaluate and optimize low-level networking and offload capabilities, including Storage acceleration, Security protocols, NIC pipeline and steering mechanisms, Switch performance, and E2E AI Networking cluster level performance for AI WLs, distributed training, and Inference jobs.
In addition, this role will play a key leadership position in building scalable telemetry frameworks, performance dashboards, and job-level monitoring solutions to enable continuous performance tracking and root cause analysis across our supercomputing environments. The position also includes deep ownership of competitive benchmarking and performance analysis. You will work closely with a wide range of our hardware and software platforms, including HCAs, DPUs, switches, CPUs, GPUs, and full system architectures, across multiple networking stacks and performance-critical software layers.
What you'll be doing:
Lead performance research and evaluation of advanced networking technologies supporting AI workloads, including LLM training and inference at supercomputing scale.
Define end-to-end performance test plans and methodology for next-generation Networking HW and networking technologies, including performance expectations and target KPIs.
Drive benchmarking, profiling, reporting, and deep performance characterization of networking workloads and offload features.
Collaborate closely with simulation, architecture, chip-design, firmware, and software teams to assess performance tradeoffs and identify bottlenecks.
Perform deep root cause analysis (RCA) for performance gaps and stability issues, and drive cross-team mitigation plans.
Develop and enhance performance analysis tools, automation frameworks, and scalable methodologies for cluster-level performance evaluation.
Own performance observability efforts, including telemetry pipelines, dashboards, and job-level performance analytics.

We are looking for an experienced Firmware Manager to join the NIC Firmware team at the Yokneam site. You will take part in leading a major development team in our Firmware group while taking part hands-on with development activities. The Firmware team develops cutting edge networking features for enabling the AI revolution, cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.
What you will be doing:
Lead a group of engineers and provide technical guidance and career mentorship to the team. Empower the team members to excel and increase team productiveness.
Work closely with the architecture and different software design teams.
Implement new features in the core of our NIC firmware in pre and post silicon environment.
Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.
Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.
You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

We are looking for an outstanding candidate who thrives in a multifaceted environment, as a SW Release Manager. Taking care of world-class technologies in the areas of Data Centers, cloud, software defined networks, security for the most sophisticated markets and customers. The Networking Cluster Solutions SW group copes with a broad range of sophisticated networking solutions for AI, HPC and cloud. The candidate will need to ensure the release is delivered on time and in high quality, coordinate between development and testing groups and between global SW groups. In addition, the role will require to gain good understanding of E2E solutions dependencies.
What youll be doing:
Be an effective leader in crafting and driving a delivery of high quality SW in an efficient way.
Partner with Engineering, Operations, Architecture and Marketing to coordinate the release of the products and ensure release will meet the schedule and with high quality
Take full ownership on the relevant products from the kickoff to signoff
Work with planning and tracking systems to lead the release progress, and build release indicators
Partner with the QA teams to ensure alignment of all tests between the development, verification and QA groups
Conduct and Attend release meeting and communicate release status. Resolve issues when they appear and raise red-flags when needed
Collaborate with teams across the globe to drive process changes that can help improve development and release workflow
Improve process, guidelines, checklists across NCS group.

We are seeking a highly technical Developer Relations Manager to join our team, with a focus on engaging deep collaborations with the next generation of security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage our software stacks when developing solutions to secure AI and Agentic environments and workloads. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how our technology can solve complex, real-world challenges.
What You'll Be Doing:
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry with cross-functional partners to drive adoption of our technologies.
Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core stack into developer products, platforms, and pipelines.
Guide partners and startups through onboarding and integration with our programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Represent and advocate for the partner technical needs and feedback to our internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.
We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.
What youll be doing:
Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities
Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.
Architect and deliver LLM-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and test flakiness prediction
Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling
Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane.