לוח משרות דרושים

Requirements:
5+ years of hands-on experience building high-performance software products.
B.Sc. or M.Sc. in Computer Science, Software Engineering or a related technical field (or equivalent experience).
Strong software development skills; deep expertise in at least two of the following domains: Node.js, frontend/web internals (e.g. React), JavaScript/TypeScript, or browser/Chromium internals.
Ability to work at a low level: understand and work with web-development internals, browser APIs, and extension platform mechanics.
Experience with RESTful APIs and designing secure data handling within browser extensions.
Strong debugging and investigative skills: able to research, triage and resolve complex issues that arise from browser/extension integration.
Ability to own features end-to-end: from design and architecture through development, testing, deployment and maintenance.
Prior experience building or maintaining browser-extensions or plugins (e.g. for Chrome, Edge, Firefox, or other browsers).
Familiarity with browser-extension lifecycle and security challenges, including manifest-based extension development (e.g. Manifest V2 / V3), sandboxing, permissions model, secure data flow, etc.
Nice-to-have (bonus) skills / experience:
Prior experience building desktop applications for Windows or macOS (Electron, .NET, Swift, or similar).
Familiarity with automated testing frameworks and relevant tooling (unit tests, integration tests, extension testing frameworks, end-to-end testing).

Requirements:
2+ years of experience as a Media Buyer and PPC.
Solid understanding of performance attribution and hands-on experience with Tag Manager and Google Analytics.
Strong verbal and written communication skills in English.
Excellent time management and organizational skills to handle multiple campaigns and meet deadlines.
Solid understanding of digital marketing principles, best practices, and industry trends.
Strong analytical skills with the ability to interpret PPC campaign data and derive actionable insights.
Experience in managing and optimizing PPC campaigns across search engines (Google Ads, Bing Ads), social media platforms (Facebook Ads, Instagram Ads), and other relevant channels would be a plus.

Requirements:
Requirements
BSc or higher in Computer Science, Mathematics, Statistics, or related fields.
4+ years of hands-on experience as a Data Scientist, ideally within mobile, gaming, or social network industries.
Proven experience with AI/ML frameworks and toolkits (Scikit-learn, TensorFlow, PyTorch, LangChain, etc.).
Familiarity with MLOps best practices, model versioning, experiment tracking, and continuous deployment.
Strong knowledge of machine learning techniques: Classification, regression, segmentation, reranking, model interpretability.
Solid background in data analysis and statistics; ability to design experiments and interpret results.
Experience working in cloud environments, especially Google Cloud Platform (GCP) - BigQuery, GCS, Vertex AI (a plus).
Comfortable working in fast-paced, production-critical environments with a sense of ownership and accountability.

Advantages:
Experience developing recommendation engines, especially with deep learning and reranking techniques.
Experience with LLM-based applications, prompt engineering, Agents development, etc.

Requirements:
Requirements:
Bachelors or Masters degree in Computer Science, Engineering, or related field.
6+ years of professional experience in data engineering or similar roles, with 3+ years of hands-on work in a cloud env, preferably on GCP.
Strong proficiency with BigQuery, Dataflow (Apache Beam), Pub/Sub, and Cloud Composer (Airflow).
Expert-level Python development skills, including object-oriented programming (OOP), testing, and code optimization.
Strong data modeling skills (dimensional modeling, star/snowflake schemas, normalized/denormalized designs).
Solid SQL expertise and experience with data warehousing concepts.
Familiarity with CI/CD, Terraform/Infrastructure as Code, and modern data observability tools.
Exposure to AI tools and methodologies (i.e, Vertex AI).
Strong problem-solving and analytical skills.
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience working in agile, cross-functional teams.

Preferred Skills (Nice to Have):
Experience with Google Cloud Platform (GCP) .
Experience with Dataplex for data cataloging and governance.
Knowledge of streaming technologies (Kafka, Confluent).
Experience with Looker.
Cloud certifications (Google Professional Data Engineer, Google Cloud Architect).

Requirements:
Experience in gaming, social, or monetization-driven products (in-app purchases, virtual economies) - Must.
3+ years of experience as a B2C Product Manager, ideally in fast-paced tech or consumer-facing products.
Proven track record of launching and scaling products with measurable business impact.
Strong analytical and strategic thinking, with the ability to turn data into clear decisions.
Excellent communication and stakeholder-management skills.
Full professional proficiency in English (written and spoken).
Hands-on experience with product analytics tools (Amplitude, Mixpanel, Looker or similar).