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Required Senior ML Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

We are pushing the boundaries of Software Supply Chain Security by introducing new and exciting features to developers, DevOps, and application security professionals. As we navigate the new era of AI-driven threats and opportunities, we are integrating advanced AI/ML capabilities to stay ahead of the curve and ensure our customers' software remains secure and compliant. Were looking for a tech-savvy Senior Product Manager to own the product throughout the product lifecycle, gathering and prioritizing product and customer requirements, defining the product strategy, and working closely with Engineering to deliver winning products with great user experience that customers love. The position also includes working with customers, Sales, Marketing, and Support to ensure revenue and customer satisfaction goals are met.

As a Senior Product Manager you will
Own the full cycle of product development, including ideation, competitive analysis, client validation, discovery with R&D, spec writing, launching, and monitoring
Lead Enterprise Customer Relationships: Build strong relationships with our largest Enterprise customers, understand their complex security requirements and translate them into scalable product solutions
Drive AI Transformation: Lead internal AI initiatives to optimize product workflows and leverage data-driven insights to enhance the Security offering
Collaborate Cross-Functionally: Work alongside Product Analysts, UX/UI, Product Marketing and other functions to drive successful feature rollouts
Build Strategic Trust: Get buy-in for the product vision across internal and external stakeholders through strong cross-team interactions
Evidence-Based Innovation: Identify, design, and iterate on product decisions by leveraging data from customer usage, market research, and adoption metrics

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).

Required Senior Computer Vision Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

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

You'll be joining our MDR Security Engineering team, whose mission is to help MDR scale, automate, and strengthen threat detection across a high-volume, global operation.

We are seeking a Senior Security Engineer, MDR Automation & Platform to serve as the engineering and development technical lead for our automation and orchestration platform. This role sits between engineering and security operations and will set the platforms technical direction, translate operational and security needs into technical designs, and lead decisions around architecture, scalability, reliability, and cost.

You will not develop the underlying product or build the infrastructure from scratch. Instead, you will understand the platform deeply, shape how it is designed and operated, and build or review the code behind its more complex integrations and workflow components. You will work closely with analysts, researchers, and engineers to ensure security-driven workflows for triage, enrichment, investigation, and response are scalable, reliable, and built according to strong engineering standards.

The ideal candidate combines strong engineering and development experience with a solid understanding of security operations. They have led the technical direction of an automation platform or similar system and can turn complex operational requirements into practical, scalable solutions.

Responsibilities
Drive the technical direction, architecture, and lifecycle of MDRs automation and orchestration platform, including SOAR, case management, integrations, and supporting workflow tooling.
Act as the engineering and development technical lead for the MDR Security Engineering team by reviewing designs and code, setting standards, and guiding technical decisions.
Design and build complex integrations, services, APIs, and workflow components, while guiding others in building and maintaining the broader platform.
Translate operational and security needs into clear technical designs and delivery plans in collaboration with analysts, IR, threat hunters, researchers, and engineering.
Make architecture, scalability, reliability, design, and cost decisions for the platform.
Design and shape SOAR playbooks and security-driven workflows for alert triage, enrichment, investigation, and response.
Identify high-impact, high-volume SOC processes and scale them through automation.
Establish strong engineering practices across version control, code review, testing, CI/CD, deployment, and observability.

Were looking for an Account Manager who will manage a portfolio of our company's strategic customers in Israel from the onboarding stage to assuring satisfaction while identifying business needs in the customers AWS environment.
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
Identify Cost Optimization, upsell, cross-sell, and renewal opportunities, and the need for a Dedicated DevOps or FinOps service.
Oversee a portfolio of assigned customers, develop new business from existing clients, and meet sales goals.
Onboard new customers and guide them through onboarding, ensuring a smooth transition to our product or service. Provide training and resources to help them get started effectively.
Act as the primary point of contact for assigned customer accounts. Develop a deep understanding of their business needs and objectives, and proactively engage with them to understand their evolving needs, challenges, and goals.
Gather feedback from customers regarding their experiences and needs. Relay this feedback to internal teams for continuous improvement.
Encourage satisfied customers to become advocates by participating in case studies, testimonials, or referrals.
Maintain and develop strategic vendor relations with AWS.
Regularly attend business events and conferences to promote and educate prospective clients on the benefits of our company.

As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

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 an experienced Senior Product Manager to own Builder Experience domain - a core part of how security teams design, build, and deploy automations. As AI fundamentally changes how security operations work, this role sits at the center of that shift.
This role requires genuine product craft - the ability to see what security teams actually struggle with and shape tools that feel intuitive and powerful - alongside frontier AI product thinking: defining how a conversational AI should behave, where its limits are, how it earns trust, and how it sharpens with every interaction.
What Youll Be Doing:
Own the end-to-end builder experience - from understanding where security teams get stuck to shipping flows that feel intuitive and powerful
Care about how the product looks and feels. Partner closely with Design to turn ambiguity into clear, usable flows
Drive our conversational AI product forward as a first-class part of the platform
Own how we evaluate the AI experience: define what "good" means, how we measure quality, and how we improve it continuously
Perform customer research and hands-on deep-dives to understand how people build and where they get stuck
Analyze usage patterns and feedback to spot signal and translate it into actionable engineering requirements
Make critical decisions on trade-offs across experience, capability, and technical design to meet business objectives
Work closely with engineering to define, develop, and launch new capabilities

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 an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.

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.

We're backed by tier-1 global VCs, led by second-time founders, and already deployed with organizations operating at serious scale. AI is not a feature here - it's the system.
We're hiring a Senior AI Engineer to design, fine-tune, and operate AI agents and large-scale models in production. This role exists because off-the-shelf models aren't enough for the problems we're solving.
If you enjoy pushing models until they break - and then fixing them - keep reading.
What you'll do:
Design and operate AI agents that reason, act, and collaborate with humans
Fine-tune and adapt large language models for:
Behavior analysis
Reasoning over long, messy timelines
High-precision enterprise workflows
Build agent orchestration systems (tool use, memory, planning, feedback loops)
Run large-scale inference and training pipelines in production
Work on model evaluation, drift detection, and continuous improvement
Optimize for latency, cost, and reliability at real enterprise scale
Partner closely with DevOps, security, and backend engineers - no research silos
Ship models that are auditable, explainable, and safe in sensitive environments

In enterprise security, no product wins alone. Identity has become the critical framework linking cloud infrastructure, security applications, and automation. As organizations rapidly adopt AI agents and autonomous machine workflows, securing how these systems interact is the most critical challenge in modern technology.
As Senior Product Manager for Technology Alliances, you will define how the Idira platform connects with the broader enterprise technology ecosystem. Your primary mission is leading our AI and machine solution partnerships, driving horizontal strategy across the entire portfolio.
You will operate strategically across three ecosystem tracks: our internal engineering speedboat team, external partners building directly on our platform, and core product lines embedding integrations into their roadmaps. We are looking for a fast product builder who thrives in ambiguity, establishes cross-organizational alignment with ease, and makes excellent product calls.
Ecosystem Roadmap: Define product direction and author technical requirements for both internal engineering builds and external partner developers by translating signals from customers and the field into a prioritized integration backlog.
Market Research: Continuously evaluate the fast-moving AI, machine learning, and automated agent identity landscapes, identifying high-value technology trends and net-new integration opportunities.
Drive Technology Partnerships: Lead the product strategy for strategic technology alliances. Partner closely with the business development managers who own the business relationship.
Cross Functional Alignment: Partner with core product management leaders across the enterprise to synchronize roadmaps, delivery timelines, and launch plans, creating a unified strategy across all products.
Bring Integrations to Market: Collaborate closely with internal teams such as product marketing to ensure Sales, Customer Success, and Sales Engineers are fully equipped to position, demonstrate, and implement new integrations to drive customer adoption.
Measure Ecosystem Adoption: Own the framework for tracking how customers interact with our ecosystem. Monitor and analyze integration usage data, identify trends in customer adoption, and connect these product health insights directly to broader platform growth and retention goals.