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our company is looking for an Entry-Level SAP CRM Implementer. We are looking for a motivated Entry-Level SAP CRM Implementer to join our SAP team and develop a career in SAP implementation and business processes. This is a great opportunity for a graduate with up to one year of relevant experience in implementation or training, who is interested in developing their skills in SAP CRM and information systems. Full-time position, based in the Sharon area, Israel.
Key Responsibilities:
* Participate in SAP CRM implementation and maintenance projects.
* Analyze business requirements and assist in translating them into system solutions.
* Work with business users and internal stakeholders to understand business needs and processes.
* Participate in system testing, troubleshooting, and support.
* Collaborate with development, integration, QA, and other IT teams.

We are looking for an R&D Technical Project Manager to drive early-stage engineering projects and technology initiatives. The role combines hands-on engineering, technical investigation, supplier engagement, and project ownership. You will work on new challenges in the space domain, evaluate technical alternatives, reduce uncertainty, and help mature ideas into clear engineering directions.
Responsibilities:
* Lead early-stage R&D and engineering projects, from initial exploration through feasibility and recommendation.
* Investigate new technologies, solutions, and system concepts.
* Define and execute feasibility studies, technical evaluations, experiments, and PoCs.
* Identify key technical risks, unknowns, and trade-offs.
* Develop initial concepts, requirements, and technical scopes.
* Independently identify relevant suppliers, vendors, and external partners.
* Proactively approach suppliers, lead technical discussions, and evaluate proposed solutions.
* Work with engineering experts across hardware, software, mechanical, optics, RF, and other disciplines.
* Support projects with technical studies, preliminary design work, and SOW preparation.
* Present findings and provide clear recommendations for Go / No-Go / Next Phase decisions.

Advantages:

* Experience in R&D, advanced development, or early-stage product development.
* Experience with prototypes, demonstrators, or experimental setups.
* Background in aerospace, robotics, sensing, or communications.
* Experience working with suppliers, subcontractors, or research partners.
* Experience writing technical specifications, requirements, or SOWs.

Morning is seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner. This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized. In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?
Key Responsibilities & Focus Areas Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features—you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence Morning's long-term trajectory and growth Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory. Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers. Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth. Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.


Advantages:

*  Experience with monetization or pricing analysis.

We are seeking a Senior AI Researcher to lead post-training evaluation, red-teaming, and reinforcement learning (RL) gym audits on open-weight models. The ideal candidate will establish rigorous benchmarking methodologies, evaluate large language models (LLMs) against complex threats like Indirect Prompt Injections (IPI), and construct post-training evaluation pipelines that accurately measure realistic frontier-level security capabilities. Key Responsibilities RL Post-Training & Benchmarking
* Execute post-training runs (e.g. GRPO) using mainstream open-weight generalist models against security-focused RL environments, targeting threat vectors like Indirect Prompt Injection (IPI).
* Reward Diagnostics & Trace Analysis - Analyze live loss curves and rollout traces to identify reward hacking, lazy policy convergence, and flawed or over/under-specified verifiers. Task & Environment Auditing
* Review tasks and multi-turn environments (including tool use, web navigation, and computer use) for realism, threat model accuracy, data distribution, and dataset balance. Performance Reporting (Gym Cards)
* Generate comprehensive evaluation cards detailing hill-climbing performance uplift across checkpoints, failure modes, tokens/turns per rollout, and task-level success rates. Integration & Orchestration
* Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings.
Hybrid:
Yes