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Requirements:
3+ years of experience as a manager leading teams, preferably Product Manager teams.
10+ years of proven success in E2E Product Management, preferably in B2B products, Security and SaaS platforms
Experience working with customers and users, buyers and decision makers
Experience with user-facing products; solid understanding of UX and product design
Experience leading successful product launches and major feature introductions
Experience in writing PRDs/user stories for engineering and QA teams, including feature prioritization and justification
Strong project management skills - managing complex processes across multiple teams
Excellent communication skills and English - required to communicate daily with global teams and C-suite managers
Excellent at compiling a clear, innovative and inspiring product vision and leading execution from ideation to production.
Proven ability to influence cross-functional teams without formal authority
Engineering or Application Security background - an advantage
AI & Data Proficiency: A solid understanding of AI/ML workflows and how to leverage data/AI to drive product value or internal efficiency - an advantage
Application Security (AppSec) Background: Prior experience in Security, Vulnerability Management, or DevSecOps - an advantage

Requirements:
~3 years of experience in networking, wireless engineering, or related technical roles.
Strong understanding of IP networking fundamentals (TCP/IP, routing, switching, NAT).
Familiarity with Wi‑Fi technologies (802.11 standards, RF basics, WPA2/3).
Exposure to cellular technologies (LTE/5G concepts, SIM/eSIM, APN configuration).
Basic understanding of cellular roaming concepts (IPX, GRX, GSMA standards, signaling flows).
Experience with network tools (Wireshark, iperf, ping/traceroute, spectrum analyzers).
Basic Linux command‑line skills.
Strong analytical and troubleshooting abilities.
Excellent communication and documentation skills.
Preferred Qualifications
Certifications such as CCNA, Network+, CWNA, or equivalent.
Experience with cloud‑managed networking platforms (Meraki, Aruba Central, Mist, etc.).
Familiarity with private LTE/5G, CBRS, or carrier‑grade wireless systems.
Scripting knowledge (Python, Bash) for automation.
Understanding of network monitoring systems (SNMP, NetFlow, Grafana, Prometheus).
Exposure to roaming testing, signaling analysis, or inter‑operator connectivity.

Requirements:
10+ years of software engineering experience, with a proven track record of designing, building, and delivering large-scale, distributed systems.

3+ years in an Architect, Principal Engineer, or Senior Technical Leadership role, with demonstrable experience in setting technical direction and influencing multiple teams and defining architecture for production systems at scale.

Extensive experience with cloud architecture (AWS preferred), including microservices, serverless, containerization (Kubernetes), and advanced database design (SQL).

Exceptional communication with the ability to articulate complex technical concepts clearly to diverse audiences and document architectural decisions effectively, influence, mentor, and align senior engineers and leadership.

Deep expertise in modern backend and frontend ecosystems (e.g., Node.js, React/React Native, TypeScript) and a strong understanding of their architectural trade-offs.

Familiar with common industry compliance processes - Nice to Have.

Requirements:
qualifications
at least 5 years of experience in QA positions experience with sdlc of saas products in aws experience in writing of automation tests in Python hands-on experience with automated testing tools wide perspective of complex product solutions (business, technical, architecture) experience in TEST design and execution for complex systems (manual and automatic) deep understanding of QA methodologies comprehensive experience working in an agile development process excellent time management and ability to meet deadlines while consistently striving for high-quality proactive by nature; internal drive for excellence and improvement security testing background experience in performance and scale tests

Requirements:
what we need to see:
ms (preferred) or bs in Computer Science (or equivalent experience) or a related field with at least 5+ years of experience
deep understanding of scm processes and large-scale, multi-site gitlab environments (experience with other scm tools such as perforce, subversion, or clearcase is a plus).
you've configured/deployed continuous integration (ci) and continuous deployment (cd) systems in your past experience
excellent interpreted language skills highly desired - object oriented PERL or Python preferred, and strong software engineering process skills required
strong skills in scripting and object-oriented languages such as Python or ruby, with solid software engineering practices and familiarity with design patterns.
hands-on experience with relational databases (postgresql preferred)
experience with DevOps or system administration on Linux systems required (rocky Linux 8, centos/rhel, and ubuntu preferred)
strong experience with automation required, ansible or puppet preferred and excellent interpersonal skills, including written and verbal communication
you are comfortable and enjoy working with dynamic and ever evolving environments

Requirements:
1+ years in a similar BDR/SDR or sales role, preferably in the B2B tech or cloud ecosystem
Proven Outbound experience - cold-calling, LinkedIn, email, social media, etc.
Proven experience navigating prospective accounts from and into a senior executive level to identify new customer opportunities.
Demonstrated ability to engage and influence C-level executives
Excellent organizational and presentation skills.
Proven ability to meet or exceed lead generation targets in a fast-paced environment
Excellent written and verbal communication skills in English
Enthusiastic about learning and adapting to new tools, trends, and markets
Familiarity with AI tools such as Gemini, ChatGPT, Claude, Amazon Quick Suite, etc.
Working experience with Salesforce, Salesloft, or Zoominfo - an advantage
Experience working in startups and knowledge of the local startup ecosystem - an advantage
Familiarity with cloud services - an advantage.

Requirements:
8+ years of experience in software engineering, with 3+ years working on infrastructure/platforms involving ML/AI, GPU, or data-heavy systems.
Proficiency in Python and familiarity with backend languages such as Ruby and/or Go.
Strong understanding of Kubernetes internals and experience running GPU workloads in production environments.
In-depth knowledge of AWS services.
Experience architecting systems that support both real-time and asynchronous processing pipelines.
Familiarity with the ML lifecycle and MLOps practices, including CI/CD for models, monitoring, and rollback strategies.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of experience in data engineering, ideally in telemetry, streaming, or performance analytics domains.

Confirmed experience with Databricks and Apache Spark (PySpark or Scala).

Understanding of streaming processes and their applications (e.g., Apache Kafka for ingestion, schema registry, event processing).

Proficiency in Python and SQL for data transformation and automation.

Shown knowledge in schema evolution, data versioning, and data validation frameworks (e.g., Delta Lake, Great Expectations, Iceberg, or similar).

Experience working with cloud platforms (AWS, GCP, or Azure) - AWS preferred.

Familiarity with data orchestration tools (Airflow, Prefect, or Dagster).

Experience handling time-series, telemetry, or real-time data from distributed systems.

Ways to stand out from the crowd:

Exposure to hardware, firmware, or embedded telemetry environments.

Knowledge of real-time analytics frameworks (Spark Structured Streaming, Flink, Kafka Streams).

Understanding of system performance metrics (latency, throughput, resource utilization).

Experience with data cataloging or governance tools (DataHub, Collibra, Alation).

Familiarity with CI/CD for data pipelines and infrastructure-as-code practices.

Requirements:
8+ years of experience in Information Security, including 4+ years in a Security Architecture role
Proven experience designing security architecture for large‑scale cloud or SaaS environments
Strong knowledge of cloud‑native architectures, distributed systems and SaaS design patterns
Deep understanding of:
Identity & Access Architecture (IAM, CIAM, authentication, authorization, governance)
Network Security (segmentation, isolation, secure routing, micro‑segmentation)
Endpoint Security (posture validation, secure access, device trust models)
Email & Collaboration Platform Security (secure configuration, access controls, threat prevention)
Application & API Security
Data protection and secure key‑management principles
Experience working closely with Platform Engineering, Cloud Infrastructure, DevOps and R&D teams
Ability to turn security strategy and policies into actionable architecture standards and technical solutions
Hands‑on experience conducting security architecture reviews, threat modeling, and risk assessments
Strong skills in creating technical documentation, architecture diagrams and security standards
Experience supporting incident analysis, cloud threat detection and mitigation planning
Excellent communication skills, with the ability to explain complex concepts to technical and business audiences
Demonstrated leadership skills and the ability to influence architecture decisions across the organization
Fluent English, written and spoken
Advantages:
Experience in the following areas will be considered a strong advantage:
Designing security for multi‑tenant SaaS platforms
Expertise in container security, orchestration frameworks, service mesh, and cloud‑native platforms
Knowledge of Zero Trust models and continuous evaluation of identity, device, and access context
Experience with major cloud security domains, including:
CSPM - Cloud Security Posture Management
CNAPP - Cloud‑Native Application Protection Platforms
CWPP - Cloud Workload Protection Platforms
SASE / SSE - Secure Access Service Edge / Security Service Edge
Experience in Vulnerability Management and secure configuration governance
Understanding of security requirements in regulated industries such as financial services or insurance
Relevant certifications such as CCSP, CISSP or equivalent domain expertise.

Requirements:
Strong customer focus and interpersonal skills, with the ability to work independently.
Proven problem-solving and analytical capabilities to drive effective solutions.
Understanding of Software Development Life Cycle (SDLC), ALM processes, and delivery methodologies such as V-model and Agile, ideally with Polarion experience. Candidates with experience in other tools (e.g., Jira, Azure DevOps) will also be considered.
Experience with requirements management, test management, and issue tracking practices, including setting up and configuring workflows, work items, dashboards, and user permissions
Familiarity with system customization using extensions or scripting, as well as integration with enterprise tools (e.g., Git, SVN, Jenkins)
Strong communication and documentation skills to collaborate with cross-functional teams and create detailed technical specifications and operational procedures.
Ability to work effectively within a consulting team, engaging with consultants, architects, and project managers to support successful customer implementations
Business-level English communication skills
Understanding of regulated environments and traceability-driven processes is an advantage.
Hands-on Polarion experience, including configuration, administration, and reporting, is a strong advantage
A security classification is required for this position. Candidates with a valid, existing security classification are preferred.

Requirements:
2+ years of experience as a Team Leader managing software development teams.
Strong hands-on experience with Node.js.
Strong architectural and system design skills.
Experience building and maintaining scalable applications.
Excellent communication and leadership skills.
Proactive, self-driven, and accountable personality.
Passion for AI technologies and eagerness to integrate AI-driven solutions into products.
Nice to Have:
Experience with CI/CD pipelines and DevOps practices.
Experience working with AWS.
Experience integrating AI/ML capabilities into production systems.
Experience working with PostgreSQL.

Requirements:
5+ years of experience in Application Security, Product Security, or Secure Software Development.
Proven experience working with modern web application stacks, cloud-native architectures, APIs, and CI/CD pipelines.
Strong understanding of application security principles, common vulnerabilities (OWASP Top 10), and secure coding best practices.
Experience with security tools like Burp Suite, Oligo, VeraCode, SonarQube, or similar (SAST/DAST/IAST/API tools).
Hands-on experience with code review and static analysis for security issues across languages like JavaScript, Python, Go, or similar.
Familiarity with cloud platforms (AWS preferred) and infrastructure-as-code security.
Experience managing bug bounty programs and third-party testing engagements.
Excellent communication skills-able to translate security concepts into developer-friendly language and work cross-functionally across teams.
Ability to balance pragmatic risk mitigation with product velocity, business needs, and user experience.
A growth mindset and a desire to mentor others and continuously improve our security posture.
Certifications like OSCP, GWAPT, CISSP, or CSSLP are a plus but not required.

Requirements:
Education M.Sc. in Computer Science, data Science, or related field - Required
Professional Experience Expert-level knowledge in data Science and Generative AI methodologies - Required 5+ years of hands-on experience in Machine Learning / Deep Learning - Required 3+ years of hands-on experience implementing NLP /LLM solutions - Required
* Strong experience with modern LLM frameworks and ecosystems (Hugging Face, GitHub, open-source models, etc.)
* Experience building RAG pipelines, embeddings, semantic search, and agent-based LLM systems
* Familiarity with Agile development and DevOps practices Advantages
* Experience with public cloud AI platforms (AWS / Azure / GCP)
* Experience deploying on-premise AI solutions for enterprise environments Personal Attributes
* Strong technical leadership with hands-on capabilities Excellent communication and collaboration skills
* Ability to translate complex AI technologies into real-world solutions
* A big-picture thinker with strong problem-solving abilities
* Passion for innovation, learning, and emerging AI technologies

Requirements:
5+ years of professional software engineering experience
Experience in NodeJS + TypeScript
Strong experience designing and developing complex systems from design to production
Experience dealing with scale and performance-related challenges
Experience building or integrating AI/LLM-powered applications in production or meaningful production systems
Experience building agent workflows and tool integrations
Ability to think critically about model limitations, hallucinations, latency, and cost tradeoffs
A collaborative team player with a can-do approach
Strong written and verbal communication skills in English and Hebrew
Advantages:
Experience with AWS or other cloud platforms
Experience with vercels AI SDK
Experience with embeddings, vector databases, or semantic search
Expierence with AWS Bedrock / Azure Open-AI
Experience building tool-using agents or workflow engines
Experience with AI evaluation, observability, and monitoring
Experience in DevOps-related tools
Experience with PostgreSQL, Kafka, DocumentDB, OpenSearch, Redis.

Requirements:
5+ years of professional software engineering experience
Experience in NodeJS + TypeScript
Strong experience designing and developing complex systems from design to production
Experience dealing with scale and performance-related challenges
Experience building or integrating AI/LLM-powered applications in production or meaningful production systems
Experience building agent workflows and tool integrations
Ability to think critically about model limitations, hallucinations, latency, and cost tradeoffs
A collaborative team player with a can-do approach
Strong written and verbal communication skills in English and Hebrew
Advantages:
Experience with AWS or other cloud platforms
Experience with vercels AI SDK
Experience with embeddings, vector databases, or semantic search
Expierence with AWS Bedrock / Azure Open-AI
Experience building tool-using agents or workflow engines
Experience with AI evaluation, observability, and monitoring
Experience in DevOps-related tools
Experience with PostgreSQL, Kafka, DocumentDB, OpenSearch, Redis.