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BriefCam, recently acquired by our company, a Canon company, is the industrys leading provider of Video Synopsis solutions for rapid video review and search, real-time alerting, and quantitative research insights.
We are growing and looking for a Senior Technical Product Manager with a strong background in software development or DevOps, and a deep understanding of AI-driven systems, including hardware-accelerated architectures, to join our core product team. The Technical Product Manager will be responsible for driving the development and execution of the product roadmap, working closely with cross-functional teams to deliver innovative solutions to market.
Responsibilities
Responsible for defining product and service specifications and requirements; making decisions regarding priorities and the execution and release of the technical areas roadmap
Define and evaluate performance, scalability, and cost benchmarks for AI-driven, hardware-accelerated systems, and use them to guide product decisions and prioritization in close collaboration with Engineering.
Collaborate with Engineering teams to ensure that the product meets the requirements in terms of user experience, engineering feasibility, and customer expectations.
Analyze customer usage and feedback continuously and communicate the roadmap and priorities to all stakeholders.
Meet with customers and partners worldwide to gather feedback, requirements, and priorities for R&D.
Engage in close collaboration with management and global business teams on new product opportunities and product roadmap.
Incorporate feedback from customers into the product design cycle, including the creation of specifications and designs (hands-on).

we are searching for the best Senior Software Engineer out there!
We are a 4 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE.
Advertising for the past 100+ years has faced a strange dilemma: Half the budget I spend on Advertising is wasted. The problem is - I dont know which half (John Wanamaker, 1838-1922)
We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question - which half is wasted?
our company launched in summer of 2020, backed by strategic investors from around the world who believe in what were doing.
We have customers and a constant flow of interest from the press, investors and more large companies who want to join us.
our company's innovative model, which has sparked interest within the academic community, has been acknowledged by the Israel Innovation Authority with a grant-a rare achievement in the marketing field.
Role Description:
As a Senior Software Engineer your role will be to:
Play a key role in the design and architecture of cutting-edge, innovative data systems.
Develop and maintain a multi-tenant environment for our advanced measurement solutions.
Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations.
Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying.
Troubleshoot and resolve complex issues related to data integration, storage, and retrieval.
Architect and build big data solutions capable of managing and automating the processing of tens of terabytes.
Optimize database performance and streamline query execution in large-scale environments.
Collaborate closely with Data Scientists to align technical solutions with data-driven objectives.
You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what were not interested in doing.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization

our companys Harmony SASE is looking for an Information Security Manager to join its staff.
This is a unique opportunity for you to work in the #1 worldwide Cyber Security Company, gain expertise and experience leading the information security program for the best of SASE (Secure Access Service Edge).
Key Responsibilities
As Information Security Manager you will:
Governance, Risk & Compliance
Lead and manage the Product Security team
Build, operate, and continuously improve the Harmony SASE Information Security Management System (ISMS), aligning policies, standards, and controls with our company and industry best practices.
Own the Harmony SASE compliance roadmap - lead and maintain certifications and attestations including ISO/IEC 27001, SOC 2 Type II, GDPR, IRAP and C5
Lead enterprise risk assessments and the third-party / vendor risk program, ensuring risks are identified, prioritized, and treated.
Coordinate internal and external audits, manage evidence collection, and remediate findings to closure.
Product & Application Security
Develop and implement a comprehensive AI - Secure Software Development Lifecycle (AI S-SDLC) framework, embedding security into every phase of the SDLC and CI/CD pipelines.
Conduct threat modeling and secure architecture reviews for new and existing Harmony SASE features, partnering with R&D to mitigate vulnerabilities by design.
Operate the application security tooling stack - ASPM, SAST, DAST, SCA, AI Security Scanning and secret scanning - at scale, and partner with development teams to drive findings to remediation while maintaining developer productivity.
Champion secure coding practices and OWASP Top 10 awareness across R&D.
Operational Security & Incident Response
Lead security incident response for Harmony SASE - preparedness, detection, containment, eradication, recovery, and lessons-learned - covering both product and information security incidents.
Oversee identity and access governance, ensuring least-privilege, segregation of duties, and access reviews across production and corporate environments.
Design and operate security automation to enhance the efficiency and coverage of security operations.
Security Culture & Enablement
Foster a culture of security awareness and continuous improvement; deliver targeted training for engineers, operations, and broader staff.
Lead responses to customer security questionnaires, RFPs, and due-diligence requests, representing Harmony SASEs security posture to customers and partners.
Stay current on the evolving Threats Landscape, regulations, and technologies, and translate them into pragmatic improvements to the security program.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy:
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering:
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering:
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership:
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
We are looking for a passionate Software Developer to join our Gen AI Security team, where we build, evolve, and operate our company's Gen AI Security SaaS product, protecting GenAI-powered applications from prompt injection, data leakage, and harmful content.
In this role, you will develop new product capabilities across real-time detection & prevention, policy management, and the ML pipeline. You will work across backend services, Kubernetes environments, data pipelines, monitoring, and frontend components.
We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.
Major Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy:
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering:
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering:
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership:
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work at our company?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter.

Were looking for an experienced Account Executive to drive growth across Israel and selected European markets and help expand our companys presence in the cybersecurity market.
In this role, youll own the full sales cycle - from identifying and developing new opportunities to closing strategic enterprise deals. Youll work closely with our Solutions Engineer, as well as our marketing, product, and technical teams, to deliver meaningful value to customers throughout the sales process.
As the Account Executive responsible for this territory, youll have significant ownership over developing the market, building the pipeline, and establishing strong relationships with customers and partners.
Youll play a key role in bringing our companys vision to life by helping enterprises adopt cutting-edge, AI-powered offensive security technology.
This is a high-ownership individual contributor position for a driven, entrepreneurial sales professional who thrives in dynamic environments, enjoys building markets, and knows how to turn relationships into business opportunities.
Responsibilities
Own and manage the full sales cycle- from prospecting and pipeline development to negotiation and contract closure.
Develop our companys commercial presence across Israel and selected European markets.
Proactively generate new business opportunities through direct outreach, industry relationships, partners, events, and conferences.
Build and nurture long-term relationships with key prospects, customers, and relevant industry stakeholders.
Work closely with the Solutions Engineer throughout the sales process, including discovery, demonstrations, technical evaluations, and proof-of-value processes.
Collaborate with marketing, sales development, product, and technical teams to execute effective go-to-market strategies.
Accurately forecast sales performance, maintain pipeline visibility, and report progress and results to leadership.
Stay up to date on industry trends, customer needs, and the competitive landscape to identify new opportunities and potential risks.

Responsibilities
Reach out to a high volume of outbound leads and follow up on inbound leads from multiple sources Work against new business goals on a weekly, monthly, quarterly, and annual basis Partner closely with Marketing and Account Executives to nurture leads from first contact through to valid opportunities Collaborate across Sales, Marketing, and Product to share critical customer feedback Regularly monitor leading indicators of success and report on pipeline health Drive systems, AI tools, and process improvements that grow the new business pipeline Help build and refine a scalable training and development curriculum for the SDR team Establish and maintain effective 1:1s, weekly meetings, and outreach cadences
About US
The pipeline acceleration company - empowers developers to radically accelerate their work by shortening build times, supporting agentic AI development needs, and enabling more iterations and faster product releases. Hundreds of customers, including world-leading brands, trust our platform to streamline and accelerate everything from compilation to release automation, saving significant resources and accelerating time-to-market. Weve helped over 200,000 developers at tech giants like Microsoft, Samsung, Nintendo, and Amazon build some of the most successful software across industries such as gaming, financial services, Embedded software, automotive, and more. In recent years, we have been in hyper-growth, expanding globally while adapting our solutions and operations to the changing market landscape to keep growing our market share. This is your opportunity to join a category leader and make a difference.
The Position
We are looking for an experienced and talented SDR professional to join our fast-growing sales organization! In this role, youll help establish our Sales Development function, reaching out to a high volume of outbound leads and following up on inbound leads generated from multiple sources. Youll work closely with the Marketing and Account Executive teams to nurture leads from initial contact through to valid opportunities and closed-won deals, and youll be measured against new business goals on a weekly, monthly, quarterly, and annual basis. Were looking for someone who can bring structure to 1:1s, weekly meetings, and overall cadences, and whos comfortable refining processes and implementing new systems. You should be passionate about working in a team environment and bring the accountability needed to grow our business funnel significantly.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy:
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering:
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering:
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership:
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are looking for a Senior Automation QA Engineer (AQA) to join a team delivering mission-critical systems for a leading financial institution. You will own test automation end-to-end across a layered banking architecture, building the frameworks, suites, and pipelines that keep quality high in a secure, highly regulated environment.
This is a hands-on senior role for an engineer who treats test code with the same rigor as production code. You will define automation strategy, drive coverage across UI, API, and integration layers, and embed automated quality gates into the delivery process. We build with modern, AI-assisted workflows, so QA engineers who are fluent with tools like Cursor and Claude Code will feel at home.
Architecture You Will Test
You will design and maintain automated coverage across all tiers of a layered banking architecture, validating behavior and data flow as it moves through each layer:
Client (React) → BFF (Next.js / JavaScript) → Middleware (.NET / C#) → Core Banking
Key Responsibilities:
Design, build, and maintain automated test frameworks and suites across UI, API, and service/integration layers.
Automate end-to-end UI tests for the React client and BFF, and API/contract tests for the .NET middleware and core integrations.
Build, maintain, and optimize automated test pipelines in CI/CD, and embed quality gates into the build and release process.
Define test strategy, test plans, and coverage; partner with developers on where unit, integration, and end-to-end tests belong.
Validate asynchronous and event-driven flows (e.g. RabbitMQ / Kafka) and verify data integrity across services and databases.
Triage failures, perform root-cause analysis, log and track defects, and report on quality metrics and release readiness.
Work within the bank's SDLC and governance - change management, environment promotion, and compliance gates.
Mentor team members on automation best practices and raise the overall quality bar.