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Requirements:
3-5+ years of experience in Market Intelligence, Product Marketing, Strategy Consulting, or Business Analysis. Background in intelligence analysis (military, government or relevant private service).
Proven Industry Experience: Demonstrated experience in the Aerospace, Defense, HLS (Homeland Security), or Unmanned Systems (UAS) sectors. Alternatively, previous relevant experience in a "Dual-Use" technology company (tech that serves both commercial and military markets). You must understand the difference between a consumer drone and a military-grade drone/loitering munition.
Education: Bachelors degree in Business Administration, Economics, Engineering, or International Relations. An MBA or relevant Masters degree is an advantage.
Research Mastery: Proficiency in Open Source Intelligence (OSINT) gathering and experience utilizing market intelligence platforms (e.g., Gartner, PitchBook, Janes, or specialized defense and/or security databases).
Data Synthesis: Advanced proficiency in Excel and data visualization tools (e.g., Tableau, PowerBI, or similar) to turn raw data into executive-level dashboards.
Regulatory Literacy: Ability to read and interpret complex regulatory documents (e.g., FAA, EASA, or military defense standards) and understand their impact on the market.
Competitive Analysis: Experience building SWOT analyses, battle cards, and competitive landscape maps.
Technological Fluency: A strong technical aptitude. You don't need to be an engineer, but you must be able to understand technical specs (e.g., RF sensors, radar systems, kinetic vs. non-kinetic mitigation, cyber basics) and translate them into value propositions.
Financial Forensic: Analyze competitor 10-Ks (where applicable), funding rounds, and burn rates to identify who is "buying growth" versus who is truly efficient. Analyze financial data to understand the weaknesses, focus, and targets
Win/Loss: Lead an objective, high-touch Win/Loss program. Analyse our "lost" to identify if we lost on product, price, approach or "the story." Compare with competition.
Executive Communication: Excellent written and verbal communication skills in English. You must be comfortable presenting strategic findings to C-level executives (CPO, CEO) and answering challenging questions on the fly.

Requirements:
B.Sc in Computer Science or Software Engineering
Solid programming foundations: data structures, multi-threading, OOP, and design patterns
4+ years of experience with distributed systems, microservices, web APIs, event-driven development, and messaging queues.
4+ years of experience with server-side C# and .NET/.NET-Core
4+ years of experience with MSSQL, including schema design, writing queries, and stored procedures
Experience working with NoSQL databases
Kubernetes Expertise: Proficiency in Kubernetes, including understanding of its core concepts like pods, services, deployments, and stateful sets
Experience with GIT
Unit tests: Experience creating unit tests
A FinTech development background is an advantage
Good communication, problem-solving, and organizational skills.

Requirements:
4 years of experience in QA Automation
2 years of experience in Manual Testing - Mandatory
Proven ability in design, creation & execution of both manual & automated test cases
Proficient in testing Web-based applications on both Client & Server side (HTML/JS/CSS, NodeJS/React, SQL/MySQL, APIs, Web Services, K8s)
Experienced with programming in JavaScript/C#
Experienced in at least one web testing framework (like Playwright, Selenium, Cypress, etc.
Strong knowledge of QA processes, practices and methodologies
Experience with an integrated agile management tool, Azure DevOps
Experience with Test management tools
Action-oriented individual who can deal with multiple priorities and complex problems in a fast-paced environment
Able to work in a team and to perform your duties with limited supervision.
Strong interpersonal and communication skills (both verbal and written) to effectively interact with the team
Strong analytical, troubleshooting, organizational, and problem-solving skills
A relevant degree in Computer Science or a similar subject is a plus.

Requirements:
3 years of experience as warehouse operator in a multidisciplinary company.
Experience working with ERP system - a must.
Experience with Oracle NetSuite - a great advantage.
Good level of English.
Ability to work physically, in a dynamic, fast pace environment.
Willing to work in non-conventional hours.
Meticulous, work in an organized manner, high level of service.

Requirements:
8+ years of experience in data strategy, analytics, or product data management, ideally within fintech, SaaS, or payments.
Proven track record of building and scaling product data frameworks and governance models.
Strong understanding of data architecture, pipelines, and data quality management.
Experience working with data visualization tools (e.g., Tableau, Power BI, Looker) and SQL-based analysis.
Excellent stakeholder management and communication skills, with the ability to influence senior leaders.
Bachelors or Masters degree in Data Science, Computer Science, Information Systems, or related field.

Requirements:
4+ years in DevOps/MLOps/Platform roles building and operating production ML systems (batch and real-time)
Strong hands-on with Kubernetes, Docker, Terraform/IaC, and CI/CD
Practical experience with Spark/Databricks and scalable data processing
Proficiency in Python & Bash
Ability to operate DS code and optimize runtime performance.
Experience with model registries (MLflow or similar), experiment tracking, and artifact management.
Production model serving using FastAPI/Ray Serve/Triton/TorchServe, including autoscaling and rollout strategies
Monitoring and tracing with Prometheus/Grafana/OpenTelemetry; alerting tied to SLOs/SLAs
Solid understanding of PCI-DSS/GDPR considerations for data and ML systems
Experience with the Azure cloud environment is a big plus
Operating LLM/agent workloads in production (prompt/config versioning, tool execution reliability, fallback/retry policies)
Building/maintaining RAG stacks (indexing pipelines, vector DBs, retrieval evaluation, hybrid search)
Implementing guardrails (policy checks, content filters, allow/deny lists) and human-in-the-loop workflows
Experience with feature stores - Qwak Feature Store, Feast
A/B testing for models and agents, offline/online evaluation frameworks
Payments/fraud/risk domain experience; integrating ML outputs with rule engines and operational systems - Advantage
Familiarity with Databricks Unity Catalog, dbt, or similar tooling.

Requirements:
Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
5+ years of experience in data science roles, with at least 2 years in a team lead position.
Proven expertise in classic machine learning algorithms and techniques, including regression, classification, clustering, and feature engineering.
Extensive hands-on experience with gradient boosting frameworks such as XGBoost, LightGBM, and CatBoost.
Demonstrated success in designing, deploying, and scaling Generative AI applications (e.g., LLMs) in real-world scenarios.
Strong programming skills in Python and proficiency with data science libraries (scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
Experience with cloud platforms (AWS, Azure) and MLOps tools for model deployment and monitoring in production.
Knowledge and experience in Databricks and Spark.
Excellent leadership, communication, and stakeholder management skills.
Ability to thrive in a fast-paced, collaborative, and innovative environment.
Experience in handling big data of billions of observations.

Requirements:
Must-Have Qualifications:
8+ years of progressive experience in Procurement Management within the high-tech industry.
Demonstrated expertise in procuring complex, highly engineered components with deep manufacturing process knowledge.
Proven track record of successfully negotiating multi-million-dollar contracts and achieving substantial cost savings.
Expertise in formal sourcing methodology (RFX) and strong working knowledge of ERP systems (e.g., NetSuite).
Bachelors degree in industrial engineering, Business, or related field.
Exceptional leadership, negotiation, and communication skills.

Requirements:
* Proven experience in building, scaling, and managing digital communities, with measurable results in engagement, retention, and growth
* Experience designing and executing community strategies across platforms (e.g., WhatsApp, apps, or web communities)
* Strong understanding of engagement metrics, analytics, and the ability to turn community insights into action plans
* Experience in activating and empowering core members or ambassadors, driving participation and advocacy
* Strategic thinker with a can do approach, able to balance big-picture vision with day-to-day hands-on execution
* Excellent interpersonal and communication skills, with high emotional intelligence and the ability to navigate complex or sensitive conversations
* Deep understanding of the Israeli consumers purchase behavior as a digital shopper, with a passion for building community and inspiring belonging
* Experience collaborating with influencers, creators, or brand ambassadors
* Familiarity with tools such as Canva, AI content tools, or social listening platforms

About us we are a fast-growing B2C commerce startup built on community, trust, and authentic connection. What started as Maayan Adams creator-led store has become a leading consumer brand with over 300,000 active users. Now, we are evolving into a tech-driven platform empowering creators and communities to build their own personalized shopping experiences, redefining how people connect, create, and shop online.

Requirements:
Bachelor's degree or higher in Computer Science, Engineering, Business, or related field.
Minimum of 5 years of experience in product management, preferably in the fintech sector, and managing payment products.
Strong understanding of AI and machine learning technologies, including LLM and agents, and their application in solving business problems.
Proven track record of developing and launching successful products.
Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical teams.
Strong analytical and problem-solving skills, with a data-driven approach to decision making.
Ability to thrive in a fast-paced, dynamic environment, managing multiple projects and priorities.
Nice to Have:
Familiarity with Google AP2, Visa Trusted Agent Protocol, Mastercard Agent Pay, or adjacent standards.
Familiarity with Databricks, feature stores, vector DBs, MLflow/MLOps, BI, real-time events and big data.
Prior experience with payment stacks: knowledge of tokenization, card-present vs. card-not-present, 3DS2/SCA, network rules, APMs, and settlement/reconciliation basics.
Prior experience with fraud stacks, dispute resolution, and model governance in regulated environments.