לוח משרות דרושים ניהול ביניים משרה מלאה

Requirements:
Strong leadership and mentorship skills
4+ years of direct management of product managers
6+ years of product management experience in a tech company
Experience in working on a wide-scale product with thousands of customers in collaboration with other product groups
Experience in delivering UI/UX research and design
Technical experience in Engineering, DevOps, SRE and Tech Support - advantage
Data-driven decision-making skills with a passion for building customer-centric products
Excellent interpersonal and communication skills, with the ability to drive agendas across diverse stakeholders and foster effective collaboration with partners.

Requirements:
* 3+ years of hands-on experience in paid search or performance marketing, with a strong track record in data-driven campaign execution and optimization.
* High level of AI fluency, including the use of automation and AI tools to streamline workflows, optimize campaign execution, and improve analytical processes.
* Proven ability to manage and scale campaigns in Google Ads with clear performance ownership.
* Proficient in Excel & Google Sheets, with experience organizing and analyzing large sets of data to generate actionable insights that support business decisions. Familiarity with SQL is a plus.
* Experience with data visualization tools such as Tableau, Looker, Power BI, or similar platforms is a plus.
* Comfortable conducting both ad hoc and in-depth analyses, identifying trends, performance gaps, and making projections to support strategic planning.
* Strong communication skills, including the ability to present complex data clearly and deliver actionable insights and recommendations to senior stakeholders.
* Strong problem-solving skills, with an innovative mindset and the ability to adapt quickly in a fast-paced, dynamic en

Requirements:
B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
At least 5 years of experience as a Software Architect \Senior Developer \Software Team Lead - Must
Experience developing software for complex embedded products in c\c++ - Must
Team player with a positive attitude and a cooperative mindset
Deep understanding of technology and passion for what you do.

Requirements:
Bachelor's degree in engineering or equivalent relevant experience
At least 7 years experience in B2B product and program management roles.
Demonstrated track record of successfully delivering complex, large-scale multidisciplinary (hardware/software) products
Strong technical skills with the ability to drive resolution of complex issues
Excellent presentation and leadership capabilities
Proven ability to execute effectively in high-stakes environments
Fluent in English, both written and spoken
Preferred Qualifications:
Experience in the automotive industry
Background as a hardware or software engineer.

Requirements:
Bachelors or Masters degree in computer science, software engineering, or a related field.
3+ years of proven experience in Linux Kernel Embedded SW development.
At least 1 year of proven experience as a technology leader.
Proactive, independent, with a solution-focused and positive attitude.
Excellent problem-solving and decision-making skills.
Excellent communication skills both written and verbal in Hebrew and English

Requirements:
At least 4 years of hands-on Linux administration experience.
At least 2 years of hands-on Windows administration experience.
Strong understanding of networking concepts.
Experience with the following:
Strong Knowledge of Bash Scripting
Apache\Nginx configuration
MySQL\Postgres deployment and advanced configuration.
Jenkins\Chef configuration.
MSSQL deployment and management.
Strong understanding of SQL concepts.
Public Cloud: AWS\GCP\Azure is a big pro.
Software development background is a pro.
Excellent verbal and written English skills

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management
Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
Not sure you fit all criteria? Submit anyway, let us decide!

BSc in Computer Science, Mathematics, Engineering or a related field (MSc an advantage)
Experience in NLP - Must
3+ years of hands-on experience in research and implementation of Machine Learning based solutions
MSc in computer Science with a specialty in NLP - Big advantage
Experience in server side development, OOP language (Java/C#) Big advantage
Experience in taking NLP features to production - advantage
Experience in Deep Learning - Advantage
Strong problem solving and critical thinking skills

Requirements:
Who You Are:
At least 5 years of experience as a DevOps.
Proven experience in delivering & communicating complex solutions to DevOps stakeholders.
Additional industry experience as R&D/ QA /IT a plus.
Team player great communication skills in the team & with our stakeholders.
Hands on experience in supporting business continuity of Critical Production Systems
Corporate Information Security hands on experience
Broad understanding of networking
Experience with CI/CD integrations with SCM and code review tools.
Experience with IaC of a cloud provider (preferably Terraform & AWS)
Experience with Helm Charts
At least one scripting language (e.g. Python, Groovy)
Experienced with Kubernetes, Docker containers management and orchestration
Experience with modern observability tools.
Good interpersonal communication and written skills in English a must
Exceptional troubleshooting and problem-solving skills
Self-motivated and able to work in a fast-paced environment


Nice to have:
BS in Computer Science or related field, or equivalent experience
Experience with Postgres on AWS RDS
Experience with coding in Python
Experience with ArgoCD
Experience with Cloud Cost reduction
Experience in Server system administration
Proven Database Administration experience

Requirements:
4+ years of experience in product management, security analysis, or security research.
Proven ability to lead cross-functional initiatives and influence without authority.
Strong communication and collaboration skills across technical and non-technical teams.
Passion for solving complex security challenges and delivering impactful, user-centric solutions.
Advantage: Deep expertise in email security, including phishing, BEC, credential harvesting, malware distribution, and spam protection.
Advantage: Experience with AI-driven security, Microsoft 365, and/or integration of third-party security platforms.

Requirements:
What Were Looking For:
4 + years backend or systems engineering in production environments.
Deep knowledge of distributed systems, networking, and databases.
Production proficiency with Docker, Kubernetes, CI/CD, and observability stacks.
Experience with computer‑vision/AI model serving, on‑prem/edge deployments, or security‑sensitive/government environments.
Hands‑on experience integrating LLMs (RAG, agents).
Comfort with pub/sub architectures (Kafka, MQTT).
Expertise in Python.
Experience designing and operating AI inference services at scale (Triton, TensorRT, ONNX Runtime) across distributed GPU clusters.
Knowledge of stream‑processing for high‑volume video data.
Computer Science degree.

Bonus:
Expertise in Go, Rust, or C++.

Requirements:
6+ years as a Fullstack Developer, including 3+ years in a leadership role.
Strong React/TypeScript expertise (React Native a plus).
Experience with Node.js (GoLang a bonus).
Knowledge of REST APIs, MongoDB, and AWS services.
Familiarity with Kafka or event-driven systems.
Strong leadership, communication, and problem-solving skills.
Passion for building scalable, user-focused products.

Requirements:
5+ years of Product Management experience.
Genuine passion for AI, Cybersecurity and the space where they intersect a must
Bachelors degree in Computer Science, Engineering, or relevant technical experience.
Proven success launching LLM-powered cybersecurity products.
Strong understanding of LLM use cases and technologies (e.g., AI agents and frameworks, copilots, MCP, A2A).
Experience in cybersecurity domains (e.g., threat detection, DLP, identity, or cloud security) strongly preferred.
Familiarity with AI security risks (e.g., prompt injection, jailbreaking, data leakage, model abuse, sensitive data governance).
Ability to engage with technical concepts (APIs, data pipelines, LLM architectures, security controls) and translate them into customer value.
High proficiency in English (spoken and written).
Exceptional communication and collaboration skills to work with both technical and business teams.
Customer-focused mindset with a drive to deliver impactful solutions.
Comfortable operating in a rapidly evolving market with shifting technologies and threats.