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17/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a hands-on AI Engineer to help build our core intelligence engine and infrastructure. In this role, you will work on exploring and building autonomous solutions that execute security workflows end-to-end, moving capabilities from research concepts to scalable production features.
What You Will Build
Internal AI Infrastructure: Contribute to a shared internal AI platform for models, data, training, and observability.
Autonomous Capabilities: Build solutions that automate complex security operations and investigative workflows.
Active Defense Mechanisms: Help productize runtime guardrails into customer-facing protective controls and monitoring systems.
Responsibilities
Develop and implement the engineering backend for AI-driven security features.
Build and maintain the internal mechanisms that allow for safe and scalable AI feature deployment.
Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
Implement runtime guardrails and AI-focused data security capabilities.
Requirements:
Mid-senior level experience or Military experience in relevant technical fields.
Strong engineering background with a focus on ML/AI technologies.
Experience with LLMs, agentic frameworks, or internal ML platforms is highlyvalued.
Ability to work in a fast-paced environment, bridging the gap between researchand product engineering.
This position is open to all candidates.
 
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17/05/2026
Location: Ra'anana
Job Type: Full Time
We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.
Requirements:
Requirements:
Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine based agent frameworks).
Deep LLM Expertise (What we mean by "Deep"):
Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have:
Experience with Elasticsearch (DSL queries, analyzers).
Knowledge of vector databases and embedding models.
Background in FinTech or familiarity with financial data structures.
This position is open to all candidates.
 
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8653774
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17/05/2026
Location: Petah Tikva
Job Type: Full Time
Responsibilities
Take full end-to-end ownership of features - from product thinking and design through development, testing, deployment, and post-production monitoring.
Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services.
Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity.
Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks.
Own the full DevOps lifecycle - CI/CD pipelines, containerization, release management, and production observability.
Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures.
Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability.
Utilize version control systems, particularly Git, for code management and collaboration.
Stay current with emerging technologies, AI tooling, and modern engineering trend.
Requirements:
Minimum of 5 years of proven experience in end-to-end web application development.
Strong product mindset - ability to act independently across the full stack, from scoping and development to deployment and post-prod, without requiring close oversight.
Strong proficiency in frontend technologies such as React (mainly), Vue.js, or Angular.
Competence in E2E approach (Requirements<>Dev<>Testing<>Post production)
Experience working with relational and NoSQL databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities in English.
Hands-on experience with LLMs, AI agents, and AI-assisted development tooling (e.g., GitHub Copilot, Cursor, or custom agentic workflows).
Experience with cloud platforms such as Google Cloud, AWS, or Azure.
Knowledge of containerization technologies such as Docker and Kubernetes.
Experience working in both microservices and monolithic architecture environments.
Familiarity with observability tooling (logging, metrics, tracing).
Understanding of agile software development methodologies.
This position is open to all candidates.
 
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8653712
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17/05/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for a Senior AI Researcher to join Immunais foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan (hybrid model).

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.
Requirements:
Required qualifications:
MSc or PhD in Computer Science, Mathematics, Physics, or a related scientific field.
3+ years of hands-on experience training deep learning models (e.g., transformers, vision models, or related architectures).
Strong practical experience with PyTorch (or similar frameworks).
Solid understanding of optimization and representation learning.
Proven ability to develop algorithmic solutions to complex problems.
Strong experience in experimental design, statistical evaluation, and working with large, complex datasets.
Ability and willingness to adapt to a new domain (biology).

Preferred qualifications:
Experience with large-scale pretraining.
Experience with foundation models.
Experience adapting methods across domains.
Research publications or meaningful research contributions.
Experience in computational biology or biomedical data (a plus, not required).

Desired personal traits:
You want to make an impact on humankind
You prioritize We over I
You enjoy getting things done and striving for excellence
You collaborate effectively with people of diverse backgrounds and cultures
You have a growth mindset
You are candid, authentic, and transparent
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8653689
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17/05/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for a Senior AI Researcher to work closely with our delivery team, translating real-world clinical and scientific questions into rigorous AI and machine learning solutions. In this role, you will lead the development of methodologies, models, and benchmarking frameworks that address complex clinical problems using our unique immune-cell data. Your work will directly impact how our partners understand biology, evaluate hypotheses, and make decisions.

Location: Ramat Gan (hybrid model).

What will you do?
Partner with the collaborations team and scientists to frame complex clinical and biological questions as well-defined data science and modeling problems.
Design, implement, and evaluate the right analytical and modeling approaches for each problem, including robust benchmarking and validation strategies.
Clearly communicate results, limitations, and tradeoffs to internal teams and external partners, enabling confident, data-driven decisions.
Establish best practices for rigor, reproducibility, evaluation, and documentation across delivery-focused data science work.
Work hand-in-hand with immunologists, computational biologists, AI scientists, and engineers to ensure solutions are scientifically sound and production-aware.
Translate modeling solutions into engineered and iterable products used by the internal collaborations team.
Requirements:
Required qualifications:
MSc or PhD in Computer Science, Statistics, Mathematics, Machine Learning/Data Science, Physics, Computational Biology, or a related field
At least 4 years of industry experience.
Strong foundation in machine learning - neural networks/classical machine learning.
Hands-on experience with Python-based data science and ML tooling.
Proven experience working with large, complex datasets (biological data preferred).
Experience with MLOps/DataOps practices for robust and reproducible ML training and evaluation pipelines, including experience with benchmarking tools and pipeline optimization.
Experience in statistics, probability, mathematical modeling and experimental design - preferred.
Experience using transformer-based models for applied solutions - preferred.
Experience in biotech, life sciences, or healthcare - preferred.

Desired personal traits:
You want to make an impact on humankind.
You prioritize We over I.
You enjoy getting things done and striving for excellence.
You collaborate effectively with people of diverse backgrounds and cultures.
You have a growth mindset.
You are candid, authentic, and transparent.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8653666
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17/05/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for an AI Engineer to play a central role in building, evaluating, and advancing our AI models. You will own and evolve our 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 (hybrid model).

What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our 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.
Requirements:
Required qualifications:
BSc, MSc, or PhD in Computer Science, Software Engineering, or a related field.
Strong software engineering skills with experience designing maintainable, modular systems.
Hands-on experience working with ML models and evaluation pipelines.
Proficiency in Python and modern ML ecosystems.
Ability to read, modify, and debug deep learning models.
Experience with benchmarks, metrics, or evaluation frameworks - preferred.
Familiarity with foundation models or multimodal learning - preferred.
Comfort navigating complex datasets and doing targeted exploratory analysis.
Experience in biomedical or other data-intensive domains - a plus.

Desired personal traits:
You want to make an impact on humankind.
You prioritize We over I.
You enjoy getting things done and striving for excellence.
You collaborate effectively with people of diverse backgrounds and cultures.
You have a growth mindset.
You are candid, authentic, and transparent.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8653656
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17/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Senior AI Research Engineers at our company develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale for our Piano, through building deep learning computer vision models that enhance user drawings in our Draw, to developing real-time audio ML models for music transcription that elevate feedback in our Guitar.

You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within our products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.
Requirements:
Who you are and what youve done
Master's degree in Electrical Engineering, Computer Science, Physics, or a related field
3+ years of experience in designing and implementing AI/ML algorithms, with a strong focus on signal processing
Proven experience working across the full ML lifecycle - from data acquisition and model training to production implementation and ongoing product iteration.
Moves fast, with strong engineering instincts, able to choose the right level of complexity to drive real-world impact
A get things done attitude with a strong sense of ownership
A team player with excellent communication and collaboration skills; able to convey complex ideas clearly to technical and non-technical partners
Exceptional analytical and problem-solving skills
A fast learner, willing to try things out of your comfort zone
Experience in speech, audio, or music-related domains - Advantage
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
8653171
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14/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Research Engineer, you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development
Requirements:
Bachelors or above degree in Computer Science, Mathematics, or related field
3+ of experience in programming languages such as Python and experience with putting machine learning code into production
Experience in training LLMs, such as Llama, DeepSeek or similar
Experience in designing benchmarks and evaluating LLM applications
Passion for exploring new technologies and techniques to enhance improve algorithm performance and product features
Strong communication, collaboration, and problem- solving skills
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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14/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an AI Product Manager to join our product team and help shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.

Own the product lifecycle for one or more product areas - from ideation and requirements through delivery and go-to-market enablement
Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions
Work closely with R&D teams on a daily basis - participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements
Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption
Define and validate product opportunities through customer research, data analysis, and competitive intelligence
Translate complex technical concepts into clear product requirements and crisp user stories
Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well
Establish and track success metrics, running experiments and iterating based on evidence
Be the voice of the developer - obsessively understanding how developers work, what they struggle with, and where AI can genuinely help
Requirements:
3+ years of product management experience, ideally in a startup environment
Technical background - either through a software engineering background, hands-on development experience, or meaningful experience working on technical products such as developer tools, infrastructure, or APIs
Deep customer orientation - youve spent real time with customers, you know how to uncover pain points, and you can turn those conversations into product direction
Proven ability to own a product end-to-end: not just writing specs, but driving the full cycle from idea to launch to adoption
Strong technical foundation - you can read code, understand system architecture, and have meaningful conversations with engineers without needing a translator
AI Mindset, youre comfortable adopting AI tools and being in the bleeding edge, youre constantly looking for ways to become more productive with AI
Data-driven mindset - you know how to instrument a product, design experiments, and use data to sharpen decisions
Exceptional communication skills - you can write clearly, run tight meetings, and influence without authority
Startup DNA - comfortable with fast iteration, shifting priorities, and wearing multiple hats
This position is open to all candidates.
 
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Location: Ra'anana
Job Type: Full Time
We are seeking a highly skilled and self-motivated AI Backend Engineer to join our growing R&D team. In this role, you will play a key part in the design, development, and deployment of our next-generation backend services, AI-driven workflows, and GenAI applications.

We are looking for a seasoned engineer who is passionate about building robust, scalable systems and has a proven track record of integrating cutting-edge LLM technologies into production. You will work closely with architects and product teams to turn complex AI concepts into reliable, high-performance backend solutions.


Key Responsibilities
Feature Development: Design and build high-performance, resilient, and scalable backend services using Python.
AI Implementation: Integrate LLMs using AWS Bedrock and other GenAI frameworks to create innovative, AI-powered solutions.
Workflow Orchestration: Design and implement complex, end-to-end event-driven architectures utilizing AWS Step Functions.
System Architecture: Contribute to the design of distributed systems, ensuring they meet high standards for performance and scalability.
Code Quality: Write clean, maintainable, and well-tested code, participating in code reviews to ensure best practices across the stack.
Collaboration: Partner with Product, Data Science, and DevOps teams to translate business requirements into technical implementations.
Problem Solving: Maintain a hands-on approach to troubleshooting, optimizing, and technical problem-solving within the GenAI ecosystem.
Requirements:
Backend Expertise: 5+ years of experience in backend software engineering, with at least 3 years of hands-on experience with AWS services.
Python Proficiency: Expert-level Python skills for building complex backend applications.
GenAI & RAG: Practical experience with Retrieval-Augmented Generation (RAG) frameworks and LLM orchestration.
AI-Driven Workflows: Proven experience building systems that combine structured logic with LLM reasoning.
AWS Bedrock: Direct experience integrating and fine-tuning LLM interactions via AWS Bedrock.
Core AWS Stack: Strong knowledge of Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3.
Scalability: Proven ability to develop and maintain large-scale, high-availability systems.
Event-Driven Architecture: Experience with Kafka or other high-throughput event-streaming systems.
Orchestration Tools: Deep expertise with AWS Step Functions.
Observability: Proficiency with AWS monitoring tools like CloudWatch and X-Ray.
Modern Infrastructure: Experience with Docker, Kubernetes (EKS), and microservices environments.
Domain Experience: Experience in production-grade systems within fintech, enterprise SaaS, or other regulated industries.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
This is a role for someone who wants to shape the fundamentals of our platform, both technically and strategically. Youll lead the design of scalable GenAI systems and connectivity to other platforms and tools, define effective AI best practices, mentor engineers, and influence how AI is built across the company, all while staying deeply hands-on. Its about ownership and impact: building, leading, and shaping impact end-to-end.
What You'll Do:
Lead the architecture and implementation of scalable GenAI solutions.
Define and enforce AI best practices: evaluation, privacy, responsible AI, and performance.
Drive AI strategy across teams and products.
Read, interpret, and apply cutting-edge AI research.
Design infrastructure that enables AI at scale-from zero to one to production.
Mentor engineers and grow technical leadership across the organization.
Requirements:
What We're Looking for:
7+ years of software engineering experience, with a strong AI/ML focus.
Proven experience designing and shipping GenAI systems to production.
Deep expertise in LLMs, agents, orchestration, and RAG pipelines.
Strong backend and cloud architecture skills (AWS preferred).
Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
Aspiration for technical leadership today, with potential for broader management tomorrow.
Who Will Thrive Here
People who dont resist change, they run toward it.
Engineers who embrace the reality that software development has fundamentally evolved.
Builders energized by experimentation, ambiguity, and innovation.
Curious problem-solvers who read docs, try things, break, and fix.
Those eager to help build a new company inside a company.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
14/05/2026
מיקום המשרה: מרכז
סוג משרה: משרה מלאה
הובלת אפיון דרישות פיתוח למוצרי AI בהתאם לצרכים עסקיים ואסטרטגיים.
בניית מסמכי דרישות מפורטים (PRD) בהתאם למדיניות החברה ויעדים עסקיים.
ליווי תהליכי פיתוח מקצה לקצה - כולל ביצוע וליווי בדיקות QA ובדיקות קבלה.
ייזום שיפורים ושדרוגים מתמשכים במוצרים קיימים.
שיפור, טיוב והעשרת תשתיות הדאטה הנדרשות למוצרי AI.
תעדוף משימות ודרישות פיתוח לפי ערך עסקי ויכולות טכנולוגיות.
ליווי תהליכי השקה והטמעה בארגון, עבודה צמודה עם גורמים עסקיים וטכנולוגיים.
הנעת תהליכים חוצי ארגון ושיתוף פעולה עם מגוון רחב של בעלי עניין.
דרישות:
ניסיון מוכח בניהול מוצר או פרויקטים חוצי-ארגון בעולמות עסקיים.
יכולת גבוהה בניתוח צרכים עסקיים ותרגומם לדרישות פיתוח.
ניסיון בעבודה בשיתוף מנהל מוצר טכנולוגי (Tech Product ManagergreenTxtBg!).- יתרון המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8650406
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תיאור
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
13/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an AI Engineer who is equal parts builder, enabler, and visionary.
This is a rare opportunity to join a small, elite team at the ground floor and have outsized impact on how AI is designed, built, and shipped across a globally recognized cybersecurity platform.
If you thrive at the intersection of cutting-edge AI research and real-world production systems and you want your fingerprints on something that matters - read on.
Why Join Us?
Greenfield opportunity - you're not joining a mature team with fixed patterns, you're helping define them.
Real impact at scale - your work will influence products used by thousands of organizations worldwide.
A team of great people - small, senior, and genuinely collaborative.
Freedom to innovate - we encourage bold ideas, fast experiments, and honest feedback.
our company's AI moment - AI is a company-wide strategic priority, and this group is at the center of it.
*we are an equal opportunity employer committed to diversity and inclusion.
Key Responsibilities
What You'll Do:
Build AI infrastructure - Design and develop the foundational tools, frameworks, and pipelines that power the group's AI capabilities, with a focus on LLMs and Generative AI.
Enable AI across the team - Act as the group's AI enablement engine: establish best practices, create internal tooling, and uplift teammates to work effectively with AI systems.
Own AI agents & agentic workflows - Design, implement, and iterate on autonomous agents and multi-step AI pipelines integrated with a variety of tools and environments.
Bring AI to production - Take models and capabilities from prototype to production-grade systems - reliable, scalable, and observable.
Shape the big picture - Contribute to the group's AI strategy, not just its execution. We want someone who asks "why" before diving into "how."
Stay ahead of the curve - Continuously research and evaluate emerging AI techniques, models, and tools - and bring what's relevant back to the team.
Collaborate and communicate - Write clearly. Think clearly. Work closely with researchers, engineers, and product stakeholders to align on goals and drive outcomes.
Requirements:
Must-Haves:
Strong hands-on experience with LLMs and Generative AI- prompt engineering, fine-tuning, RAG pipelines, evaluation, and beyond.
Proven ability to build and ship production-level AI systems - not just notebooks, but real, deployed infrastructure.
Experience building or working with AI agents - tool use, agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, or similar).
Excellent written and verbal communication skills - you can explain complex AI concepts to both engineers and non-engineers.
Strong command-line proficiency and comfort working across diverse tools and environments.
A growth mindset - you read papers, break things, and love learning.
Nice to Have:
Experience in AI enablement - building internal tools, templates, frameworks, or training that help others work with AI more effectively.
Background in cybersecurity or working with security data.
Familiarity with cloud-based ML infrastructure (AWS, GCP, or Azure).
Experience with observability and evaluation frameworks for LLM-based systems.
Mindset & Culture Fit:
Big-picture thinker - you zoom out to understand what the team is building toward and zoom in to execute.
Team player with ambition - you lift others up while pushing yourself and the work forward.
Self-driven - in a small team, you own your domain end to end.
Comfortable with ambiguity- we're building something new; not everything is defined yet.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8650206
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
13/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced and strategic Product Manager to lead a core domain within our companys Cloud Firewall portfolio. This role is central to shaping how enterprises secure cloud environments at scale across hybrid and multi-cloud infrastructures.
our companys cloud security solutions protect some of the worlds largest organizations, and our Cloud Firewall capabilities are a critical part of helping customers enforce consistent, scalable, and intelligent network security in dynamic cloud environments.
As the Product Manager for a core Cloud Firewall capability, you will own the product vision, strategy, and execution end to end - from deeply understanding customer needs, market trends, and cloud platform evolution, through defining roadmap priorities and driving delivery, to ensuring strong adoption and long-term customer value.
You will work closely with engineering, architecture, UX, research, sales, marketing, and customer-facing teams in a highly cross-functional environment. This role requires a strong product leader with proven success in Agile product development, the ability to lead complex cross-functional programs, and a demonstrated record of influencing strategy and execution across engineering, business, and customer-facing teams.
This is an opportunity to influence a strategic cloud security domain and build high-impact products that solve real customer problems in one of the most important areas of cybersecurity.
Key Responsibilities
Define and own the product strategy, vision, and roadmap for our companys Cloud Firewall capabilities, aligned with company objectives, customer needs, and market opportunities.
Lead product discovery by analyzing customer pain points, industry trends, competitor offerings, and emerging cloud security requirements across AWS, Azure, GCP, and hybrid environments.
Work closely with engineering leadership and development teams to translate strategy into execution through clear priorities, well-defined requirements, and pragmatic tradeoff decisions.
Drive product development in a proven Agile environment, including backlog management, feature prioritization, user story definition, sprint planning support, and ongoing collaboration with R&D throughout the delivery lifecycle.
Demonstrate strong leadership across cross-functional teams, aligning engineering, UX, sales, support, and marketing around a shared product direction and successful business outcomes.
Partner with UX/UI teams to deliver intuitive, scalable, and efficient user experiences for cloud security administrators and enterprise operators.
Own the product lifecycle from concept through launch and iteration, including requirements definition, validation, rollout planning, and success measurement.
Collaborate with product marketing and field teams to define product positioning, messaging, and go-to-market plans for new capabilities and releases.
Requirements:
Bachelors degree in Computer Science, Engineering, Business, or a related field. MBA or advanced degree is an advantage.
5+ years of product management experience in cybersecurity, cloud security, network security, or closely related domains.
Strong technical understanding of cloud networking, firewall technologies, network security controls, and cloud security architectures in AWS, Azure, and GCP environments.
Proven track record of owning and delivering complex products in Agile / Scrum development environments leading to business success, with hands-on experience working closely with engineering teams throughout iterative release cycles.
Proven leadership experience, with the ability to lead cross-functional initiatives, influence senior stakeholders, and drive alignment across organizations without direct authority.
Track record of creating real & measurable impact on the products and services you are responsible for.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8650122
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סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
13/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Product Manager (Cloud WAF & API Security) to take end-to-end ownership of a core domain within our companys cloud application security portfolio. This role sits at the heart of how modern enterprises protect internet-facing applications and APIs across cloud and hybrid environments-delivering security outcomes without slowing delivery teams.
our companys security products are award-winning and industry-leading, trusted by thousands of customers worldwide. As the Product Manager for Cloud WAF and API Security, you will define the product vision and strategy end-to-end: from deeply understanding customer needs and attacker/market trends, through defining the roadmap and guiding execution, to ensuring successful adoption and long-term value.
You will work closely with engineering, UX, research, product marketing, sales, and customer success-leading complex initiatives across multiple teams. This role requires strong product judgment, the ability to lead through ambiguity, and a passion for building scalable, high-quality cloud security products that solve real customer problems.
A key success factor in this role is strong Agile/SAFe leadership, including experience driving or influencing Agile transformation to improve flow, predictability, and customer impact
Key Responsibilities
Lead the product strategy, vision, and roadmap for Cloud WAF and API Security (WAAP) capabilities, aligned with company goals, customer outcomes, and evolving attacker techniques.
Own customer discovery and problem validation: engage enterprise security teams, platform teams, and developers to understand workflows, constraints, and adoption blockers across cloud environments.
Drive a roadmap that addresses key WAAP areas such as:
Cloud WAF policy and rule management, tuning, and false-positive reduction
API discovery and inventory (including shadow/zombie APIs)
API behavioral anomaly detection
Auth and abuse patterns (e.g., broken auth, BOLA, scraping, credential stuffing) in partnership with bot/abuse controls
Integrations with CI/CD, API gateways, ingress controllers, service mesh, and cloud-native tooling
Observability and analytics (security visibility, attack forensics, risk posture)
Own requirements and prioritize delivery; ensure crisp execution using SAFe/Agile best practices (backlog readiness, PI planning support, dependency management, clear acceptance criteria, outcome-based prioritization).
Contribute to or drive Agile transformation efforts across teams: improve operating cadence, delivery predictability, cross-functional alignment, and measurable outcomes.
Work closely with UX/UI to deliver intuitive workflows for both security and platform teams (policy authoring, onboarding, triage, tuning, and incident response).
Drive end-to-end product delivery from concept to launch: user stories, validation, beta programs, release readiness, and launch execution.
Define success metrics and iterate post-launch using data (adoption, efficacy, performance, cost signals, support escalations, retention/expansion).
Collaborate with product marketing on positioning, messaging, and go-to-market planning for releases and major launches.
Engage with customers, sales, and customer success to gather feedback, address concerns, and identify growth opportunities.
דרישות:
Bachelors degree in Computer Science, Engineering, Business, or related field (MBA a plus).
5+ years of Product Management experience in cybersecurity or adjacent cloud infrastructure domains; experience in enterprise-grade products is strongly preferred.
Cloud WAF / API Security experience with strong understanding of modern web and API threats (e.g., OWASP Top 10 and API Top 10), and practical awareness of how protection works in production environments.
Strong technical foundation in cloud and application delivery concepts (e.g., Kubernetes/ingress, API gateways, microservices, CI/CD, observability, identity signals המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
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8650120
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