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abra is seeking a Senior FPGA Engineer This role requires close collaboration with multidisciplinary teams, including hardware, software, verification, and system engineers, to deliver high-performance, mission-critical FPGA solutions—from concept and design through development and production, all the way to integration and operational deployment.

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.

abra is hiring a Senior Salesforce Implementer to join our team! We're looking for a hands-on Senior Salesforce Implementer to join our Salesforce team and take ownership of the implementation and configuration of Salesforce solutions. The role involves translating business requirements into scalable Salesforce solutions, working closely with customers and Business Analysts, and delivering high-quality implementations from design through deployment. Responsibilities:
* Lead end-to-end Salesforce implementation processes, from understanding business requirements through solution design, implementation, testing, and deployment.
* Implement and configure Salesforce solutions based on business and functional requirements.
* Translate business requirements into Salesforce configurations, processes, automations, and user experiences.
* Work closely with customers and Business Analysts throughout the implementation lifecycle and support ongoing improvements.
* Provide guidance and mentoring to Salesforce Implementers and team members , including professional knowledge sharing and onboarding of new employees.

We are looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.

This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.

Responsibilities
Design, implement, and improve deep learning models.
Work on real-world AI problems using large-scale data.
Collaborate closely with experienced engineers and researchers.
Run experiments, analyze results, and optimize model performance.
Take ownership of projects and drive them forward independently.
Stay up to date with the latest trends in AI and deep learning.

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.

Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

We are looking for an experienced and hands-on Backend Team Lead to lead a team of engineers responsible for maintaining, evolving, and scaling mission-critical backend systems that power real-time and on-demand experiences for millions of users. You will ensure high availability, performance, reliability, and security across a large-scale production environment while continuously improving the platform to meet growing business and customer needs.
In this managerial role, you will be responsible for driving technical strategy, architectural decisions, execution, and operational excellence, while leading and mentoring a team of backend engineers. You will work closely with Product, Architecture, DevOps, and QA teams to define scalable solutions, execute on the engineering roadmap, and deliver secure, reliable, and high-performing services.
The day-to-day:
Make key architectural and technology decisions, ensuring scalable, secure, and reliable solutions across the backend ecosystem.
Own the teams technical roadmap and execution, balancing business priorities, technical excellence, and long-term platform investments.
Remain hands-on by contributing to development, code reviews, technical design discussions, and resolution of complex production issues.
Collaborate closely with Product, Architects, DevOps, and QA to translate business needs into high-quality technical solutions.
Lead, mentor, and develop a team of backend engineers, fostering technical excellence, ownership, and continuous improvement.

We are seeking an experienced SOC Validation Team Leader to lead the system validation team activities for our next-generation BMC (Baseboard Management Controller) SoCs, widely used in enterprise and data center servers.

Responsibilities:

Lead a team of experienced system and validation engineers, including hands-on involvement.
Define and execute validation strategies for complex SoC products across pre- and post-silicon stages.
Collaborate closely with HW, Embedded SW, Architecture, and Security teams to ensure full system coverage.
Analyze product requirements and define comprehensive validation plans and methodologies.
Develop and maintain validation environments, including test frameworks, automation, and infrastructure.
Drive debug and root-cause analysis of system-level issues across HW/SW boundaries.
Ensure high-quality validation coverage and sign-off aligned with product and customer requirements.
Support pre-silicon activities (emulation, FPGA) and post-silicon bring-up and system validation.
Drive continuous improvements in validation processes, tools, and productivity.
Mentor and support team members in technical growth and execution excellence.
Participate in recruitment and onboarding of new team members.

We are looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS.
Were not looking for someone who talks about AI strategy. Were looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.
This is an individual contributor role reporting directly to the VP R&D. Youll be embedded in M&T but will work closely with engineering teams across our R&D - contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together.
If youre the kind of engineer who gets restless when theres a better way and no one is building it yet - this role is for you.
The day-to-day:
Lead AI-driven initiatives across M&T engineering - from scoping and architecture through hands-on execution
Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org
Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability. Work across teams and departments - align stakeholders, unblock dependencies, and keep initiatives moving
Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions
Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in