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We are looking for a Security Engineer to join our team and take full ownership of security tooling and infrastructure. This is a hands-on role with broad responsibility across operational security, platform evaluation, and security-by-design practices.

Youll be responsible for maintaining, improving, and supporting all security tools and platforms; leading evaluations of new technologies; managing internal security review processes; and contributing to infrastructure and product design decisions.

This role demands strong technical expertise and the ability to balance strategic thinking with tactical execution in a fast-moving environment.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Own and maintain the companys security tooling stack, including endpoint protection, DLP, identity systems, email security, and cloud posture tools.
Monitor cloud and SaaS environments, handle security alerts and misconfigurations, and support day-to-day security operations.
Participate in incident response, including triage, documentation, and post-incident reviews.
Lead security evaluations of new platforms and tools, from technical assessment through internal review and approval.
Drive end-to-end implementation of security solutions, from PoC to production rollout.
Collaborate with IT, Engineering, and DevOps to embed security into system design, identify monitoring gaps, and improve detection capabilities.

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing Immunais AI models. You will own and evolve Immunais benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Own & Evolve Benchmarking - Design, build, and maintain Immunais benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

our company, a software development company specializing in sophisticated e-commerce solutions, is looking for a motivated, talented, and skilled AI Officer. Our clients include leading brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli, and more. This is a unique opportunity to showcase your talent, work with advanced technologies, collaborate with amazing colleagues, and support major customers.
Responsibilities:

* Monitor AI tools usage across the organization on an ongoing basis
* Ensure compliance with internal policies, procedures, and applicable AI regulations
* Review and approve requests for AI tool usage according to defined criteria
* Identify deviations, risks, and compliance gaps, and recommend corrective actions

As the Product Manager for the AI models of core product offering, you will be responsible for defining and driving its product strategy, requirements, roadmap and delivery.

The product focuses on addressing real-world challenges in drug development by leveraging AI foundation models and multi-omic data to map and predict human immune response.

You will be working closely with our team of Data Scientists, Computational Biologists, Deep Learning Researchers and Engineers.

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

Set the long-term vision and strategy for AI models, ensuring alignment with company goals.
Define product requirements and build a clear, prioritized roadmap for model development and delivery.
Lead benchmarking efforts to evaluate model performance against internal baselines and external best-in-class models.
Collaborate with AI research, data science, engineering, and biologists to translate scientific advances into scalable product capabilities.
Oversee the end-to-end lifecycle of AI models, including data strategy, training priorities, evaluation criteria, releases, and post-deployment monitoring.
Identify, validate, and prioritize high-impact use cases where improved model capabilities create meaningful business or scientific value.
Communicate strategy, progress, and key decisions to leadership and cross-functional stakeholders to drive alignment.

We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.

Location: Ramat Gan, Israel (hybrid model)

What You'll Do:

Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team in top-tier scientific conferences and publications, communicating groundbreaking research to the world.

Were looking for an independent, curious AI researcher to join and help bring generative AI into high-precision financial workflows. Youll turn research ideas into robust, production-grade features that meet finances strict correctness and auditability requirements.
we are a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data - from reports to forecasts to deep analytics.
What You'll Do:
Own end-to-end projects: define the problem, prototype, evaluate, and deliver PoC/MVPs.
Research and build GenAI solutions, flows, and agents that reduce nondeterminism and produce numerically reliable outputs for financial use cases.
Design practical verification, monitoring, and fallback strategies so GenAI can be trusted in critical workflows.
Collaborate with engineering and product teams to ship and maintain production solutions.

Were looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.
Youll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
Drive the evolution of our platform - from monolithic components to scalable, service-based architecture.
Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
Oversee the development of new features and platform capabilities - ensuring code quality, maintainability, and on-time delivery.
Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
Encourage innovation and continuous improvement within the team.

We are seeking a Senior Product Designer to own the end-to-end experience for one of our core product streams. In this role, youll lead discovery, experience definition, and hands-on design execution- from problem framing and user research to UX/UI design, prototyping, and usability validation. This is a hybrid role with 2 days a week (Monday, and Wednesday) required from our Jerusalem office (located in the Central Bus Station, next to the train).

Youll work closely with Product Management, Engineering, Data, and Customer Experience partners to deeply understand user needs, shape product strategy, and translate insights into elegant, high-impact product experiences. This role is ideal for someone who thrives in fast-paced environments, thinks systematically, and can balance strategic clarity with thoughtful craft.

What Youll Do:
End-to-End Experience Design
Lead the full UX design process for your product area-from research and concepts to high-fidelity UI and delivery.
Create user flows, wireframes, interactive prototypes, and polished interfaces using Figma.
Partner with Product and Engineering to define requirements, scope solutions, and ensure smooth implementation.
User Research Expertise
Plan and conduct research to uncover user needs, motivations, and pain points (e.g., interviews, surveys, diary studies).
Run usability testing and concept validation to inform iteration and improve product quality.
Synthesize findings into insights that shape product strategy and prioritization.
Product & Strategy Influence
Collaborate tightly with PMs to define problem spaces, frame opportunities, and evaluate trade-offs.
Contribute to product direction by grounding roadmap decisions in user outcomes, experience quality, and data.
Analyze product metrics and user feedback to identify experience gaps and guide continuous improvement.
Systems & Consistency
Contribute to and expand our design system to ensure scalable and consistent UI patterns across the platform.
Advocate for accessibility, usability, clarity, and simplicity in every interaction throughout the user journey.
Championship of Human-Centered Design
Promote user-centered thinking across teams and stakeholders.
Facilitate workshops and share insights to align teams around user needs.

Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.