לוח משרות דרושים עבודה היברידית

Requirements:
Minimum of 5+ years of experience in ASO (iOS and Android)
Advanced analytical abilities
Intermediate level in English language or higher
Creativity in problem-solving
Expertise in promoting mobile apps and increasing organic traffic through ASO tools

Requirements:
3+ years of experience as a Product Analyst in a fast-paced B2C tech/mobile environment.
Advanced proficiency in SQL, experience with Python/R and BigQuery - advantage.
Expertise in product analytics tools like Mixpanel or Amplitude.
Exceptional ability to transform complex data into clear, meaningful insights.
Independent and collaborative work style suited for our dynamic, rapid-growth environment.
Razor-sharp intellectual curiosity and analytical rigor.
Top-notch communication and presentation skills.
Fluency in written and spoken English.

Requirements:
2+ years of experience as a Data Analyst, Business Analyst, or a similar data-driven technical role - MUST
Advanced SQL skills with proven ability to query, validate, and analyze complex datasets - MUST.
Experience in a customer-facing or client delivery role (e.g., onboarding, technical account management, or consulting).
Strong analytical mindset with the ability to reverse-engineer business logic from raw data.
Experience with data modelling, metric design, and BI tools (e.g., Power BI, Looker, Tableau).
Strong communication and presentation skills - able to explain technical insights to both technical and non-technical stakeholders.
Proven ability to manage multiple onboarding projects in a fast-paced environment.
Self-motivated, curious, and adaptable - comfortable working in dynamic, evolving environments.
Passion for helping customers succeed through data-driven insights.
Bonus:
Experience with GenAI, Retrieval-Augmented Generation (RAG), or natural language-to-SQL systems.
Background in SaaS or enterprise data products.

Requirements:
What Sets You Apart
Leadership
Proven experience as a Team Lead or Technical Lead in an offensive security or R&D environment
Strong ability to lead complex engineering efforts and mentor a highly technical team
Experience owning full R&D project lifecycles from concept through production
Technical Expertise
5+ years of hands-on experience in development of offensive attack components
3+ years of Python experience, especially for integrating with native modules and supporting research workflows
Experience developing stealthy and evasive attack components, including in-memory execution and user/kernel-mode tooling
Familiarity with EDR evasion, API hooking, and direct system call manipulation
Personal Attributes
Passionate about offensive security and deep technical research
Passionate about AI coding agents
Self-motivated and capable of operating independently in high-trust environments
Creative and methodical in problem solving, with a strong attention to detail
Even BETTER if you have
Deep knowledge of Windows/Linux APIs, security controls, and undocumented behaviors relevant to offensive security
Experience with MITRE ATT&CK and implementing or simulating ATT&CK techniques
Background in red teaming, adversary emulation, or APT simulation
Prior contributions to offensive tooling or internal R&D platforms
Understanding of modern threat actor TTPs and practical application in research environments

Requirements:
Minimum 5 years of proven managerial experience in cross-functional, matrixed environments.
Minimum 5 years of hands-on experience with card processing and/or payment issuing organizations.
Deep expertise in transaction processing flows, including 3DS, digital wallets, vendor onboarding and implementations; strong understanding of prepaid, debit, and credit card rails.
Strong analytical and problem-solving capabilities.
Proven ability to manage external partners and vendors (processors, sponsor banks), define development requirements, and lead end-to-end delivery including QA, UAT, SLAs, and production readiness.
Solid project management capabilities with experience leading multi-team initiatives across product, R&D, operations, and compliance.
High proficiency in English (written and verbal).
Relevant academic background (Industrial Engineering, Information Systems, or equivalent).
Advantages:
Hands-on experience with card network regulations and services (e.g., STIP, M4M, QMR reports, Visa Member Letters, Mastercard Bulletins).
Experience with card technologies including EMV and contactless payments.
Exposure to international payment methods (e.g., WeChat Pay, Alipay).
Familiarity with European (PSD2) and U.S. payment regulations.

Requirements:
5+ years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively.
Proficiency in C#, Java, or similar object-oriented languages.
Expertise in SQL and database management.
Strong knowledge of data structures and algorithms.
Experience with microservices architecture.
Experience in designing new functionality for existing complex components while maintaining scalability and performance.
Ability to collaborate effectively and communicate technical concepts to diverse stakeholders.
BA/BSc in Computer Science, Software Engineering, or equivalent experience (e.g., military technology units like 8200).
What Could Set You Apart:
Practical experience with Agile development methodologies.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
Hands-on knowledge of non-relational databases like MongoDB.
Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka).
Experience in mentoring new hires and interns, fostering a culture of collaboration and best practices.

Requirements:
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.

Requirements:
What you will bring

Strong architectural experience developing solution designs / reference implementations from concept to delivery

Telco specific experience and knowledge in Edge designs, High Availability, Hybrid Cloud, NFV architecture and containerized workload characteristics

Understanding of how open source and free software communities work

Experience working with Partners to develop and implement new technologies, with an ability to adapt and quickly learn

Hands on Kubernetes and/or OpenShift technologies experience - 2+ years

Comfortable working on complex multidisciplinary problems and bringing together a diverse set of technical options to a clear path forward.

Experience with Linux system programming in a distributed telecom environment, or experience and designing and integrating distributed systems in a telecom environment

Excellent written and verbal communication skills in English

The following are considered a plus:

7+ years of experience in a Linux environment with at least one of the following languages: Golang, Python, Java, or C/C++. Leading or contributing to open source communities or being an open source maintainer.

Experience with cloud-native design principles especially in the context of container technologies (docker, cri-o) and workloads (CNFs) on kubernetes

System and performance engineering analysis and a proven track record of unlocking performance in constrained environments, including latency sensitive workload tuning (IEQ lines, CPU pinning, NUMA affinity, etc)

Comfortable using Gen AI as a productivity enhancement and for building tooling and automations

Strong experience with automation tools and/or scripting languages (Ansible, bash, python)

Certified RHEL/Kubernetes Administrator

Requirements:
3-5 years of QA experience with a strong focus on automation
Hands-on coding experience for automation and infrastructure development
Bachelors degree in Engineering (Software Engineering preferred)
Strong understanding of testing methodologies and automation frameworks
Ability to work across complex systems with a big picture perspective
Experience with Storage, networking, or distributed/high-performance systems is a plus

Requirements:
- Strong software engineering background - solid experience with Python or Node.js, microservices, APIs, and cloud environments (AWS preferred)
- Hands-on AI experience - building and deploying applications with LLMs (OpenAI, Anthropic, HuggingFace, etc.) and generative AI technologies
- Knowledge of Machine Learning fundamentals ( data preprocessing, model fine-tuning, evaluation)
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and search/recommendation systems is a big plus
- Ability to thrive in ambiguity, take ownership, and move fast in a startup-like environment
- Prior experience in building or scaling AI/ML infrastructure in production - an advantage
- Understanding of AI evaluation methodologies and metrics

Requirements:
- 3+ years of experience working with salesforce as a Business Analyst / Systems Analyst
- Hands-on experience with a CPQ solution
- Experience with DealHub - strong advantage
- 3+ years of hands-on experience with salesforce configuration, including a deep mastery of salesforce Flows - Must
- Proven ability to design complex data models and understand the technical impact of system changes on the entire salesforce ecosystem
- Strong understanding of B2B sales processes and quoting workflows
- Experience working cross-functionally with Sales and Revenue teams
- Strong analytical and problem-solving skills