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02/07/2026
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:
5+ years of experience in Software Development in production environments
Relevant academic background or Army experience.
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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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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02/07/2026
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.
Engage directly with customers, partners, sales engineers, and support teams to gather feedback, validate priorities, and identify new product and business opportunities.
Monitor product adoption, customer satisfaction, usage trends, and competitive positioning, using data to drive continuous improvement and roadmap refinement.
Stay current with cloud platform evolution, cloud-native networking, and cybersecurity market trends to ensure the product remains innovative and differentiated.
Serve as a product leader and domain expert internally, helping drive alignment, clarity, and execution excellence across strategic initiatives.
דרישות:
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.#ENGLI המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Backend AI Engineer to own and build our companys agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.
Requirements:
What Will Make You Stand Out?
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
Strong background as a Backend Engineer - at least 5 years of experience
2-3 years of hands-on experience working with AI / LLM-based systems running in production
Proficiency in Python and/or JavaScript, and experience building backend services, APIs, and scalable distributed systems
Practical experience designing and operating agentic AI workflows, including orchestration of multi-step flows involving LLMs, tools, and decision logic
Strong understanding of how LLM-based systems behave in real-world, high-scale environments, including non-deterministic behavior and failure modes.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications? Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Key Responsibilities
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.
Requirements:
Required Qualifications
Minimum of 5+ years of professional experience in a blend of technical and analytical roles (e.g., Automated QA, Support Enablement, Data Analysis,AI Research. Prompt Engineering, MLOps), with a proven track record operating at the critical intersection of customer operations, data management, and AI/ML systems
AI/ML/LLM Foundation: Possesses a high-level understanding of AI tools, LLMs, machine learning, and applicative AI principles.
Python Proficiency: Proficient in Python for practical applications, including scripting, data processing, and building automation solutions.
Customer Domain Mastery: Demonstrated experience in customer-facing roles with a strong operational understanding of the Customer Support domain (workflows, knowledge base management, optimization).
Technical Communication: Strong skills in translating observed model performance issues and Agentic Action requirements into clear, prioritized technical requirements for R&D teams.
Ownership: A dedicated individual who takes full responsibility for their work, driving projects to successful completion.
Data/Content Governance: Experience with data validation, content management, and implementing data governance standards, especially for knowledge bases feeding AI systems.
Preferred Qualifications
Prompt Engineering: Proven expertise in systematically authoring, testing, and refining instructional inputs to drive specific model behavior.
Cloud Technologies: Experience with Cloud platforms like GCP, Kubernetes and containers
CI Pipelines using Gitlab
Experience with BigQuery
Experience working with APIs.
This position is open to all candidates.
 
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Location: Petah Tikva
Job Type: Full Time
As a Senior AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.
Requirements:
Your Experience:
Bachelors degree in computer science or an engineering-related field.
4+ years of experience in software development.
Experience with cloud infrastructure (e.g., AWS, GCP, Azure).
Proven experience as a Python developer.
Meaningful experience developing AI products with LLMs, including solution architecture, development and prompt engineering.
Attention to detail, ability to multitask, and strong interpersonal skills.
Preferred Qualifications
Specific experience with AWS.
Experience with the Agentic AI architecture, MCP, and A2A.
Experience in enterprise-scale application development in a SaaS environment.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidlyזprototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.
Requirements:
Strong experience building and operating AI agents or autonomous systems in production environments.
Hands-on experience with LLMs, agent frameworks, tool use, reasoning systems, retrieval, evaluations, or multi-agent orchestration.
Proven ability to rapidly design experiments, iterate on ideas, and turn research into reliable production systems.
Deep familiarity with the rapidly evolving AI ecosystem; enthusiasm for continuously experimenting with new models, techniques, architectures, and research directions.
Strong intuition for identifying which new AI capabilities are production-ready versus hype, and ability to quickly translate frontier advances into practical systems.
Strong engineering skills, especially in Python and modern AI infrastructure.
Proven ability to own problems end-to-end, from research and prototyping through deployment, scaling, and reliability.
This position is open to all candidates.
 
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01/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities
Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with our source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.
Requirements:
Qualifications
5+ years of ML / AI engineering, with at least 2 years building production AI / Agentic systems.
Hands-on with at least one Agentic framework (LangGraph, CrewAI, or custom) and an LLM provider's production tooling APIs.
Fluency in Python.
Track record of shipping fast: has examples of taking an AI system from idea to production in weeks, not quarters.
Comfortable working directly with business stakeholders without a product manager intermediary on every interaction.

Nice to have
Payments domain knowledge or experience in another regulated industry.
Production experience with Snowflake, Splunk, or similar enterprise data and observability platforms.
Open-source AI tooling contributions or technical writing.
Has built evaluation harnesses for LLM systems beyond simple accuracy metrics (e.g. hallucination scoring, agent trajectory eval).
This position is open to all candidates.
 
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01/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.

Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.

Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.

Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.

Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.

Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.
Requirements:
Qualifications
5+ years in product management, technical/process consulting, or operations roles -with hands-on experience decomposing real workflows from scratch, not just documenting them.
AI and automation literacy - understands what agentic AI can and cannot do, can read enough code to challenge an AI engineer's assumptions, and has worked on at least one AI or automation project.
Strong data fluency-comfortable pulling and analyzing activity data using SQL, Excel, and basic Python or notebook tools.
Executive communication - writes and presents to senior business stakeholders, including charter leads at the VP level and above.
Able to own analysis deliverables independently - this is not a junior coordinator role.
Process-design or operations background in a domain with real workflow complexity (financial services, operations, customer success, claims, etc.).

Nice to Have
Experience in payments or another regulated industry.
Prior experience on an AI delivery team or within a large-scale digital transformation program.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8718582
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/06/2026
Location: Giv'atayim
Job Type: Full Time and Hybrid work
We are building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Agentic code analysis engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.

You are invited to meet the R&D team here!

In this role, you will:

Research and develop next-gen code analysis and remediation algorithms

Work hands-on with GenAI models and integrate them into detection workflows

Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)

Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations

Responsibilities:

Design and implement machine learning and algorithmic solutions for code analysis

Build GenAI-powered developer tools for static and semantic code analysis

Enhance our existing detection infrastructure with intelligent, context-aware insights

Translate cutting-edge research into practical, scalable product features
Requirements:
MSc in Computer Science (or related field) from a top-tier institution - Big Advantage

3+ years of software engineering experience, with strong proficiency in Python (primary) and familiarity with Java / C++ / JavaScript codebases.

Hands-on experience with LLMs / GenAI systems, including prompt engineering, inference optimization, and model evaluation.

Experience designing LLM-driven pipelines (agentic or tool-augmented), including:

Structured outputs (JSON schemas), Multi-step reasoning/verification flows

Excellent communication and collaboration skills - Must

Advantage:

Familiarity with ML for code, static/dynamic analysis tools, and AST-level representations

Experience with web application security, vulnerability detection, or remediation

Proficiency in one or more of: JavaScript, C#, Python, Go, PHP

Familiarity with cloud-native environments and CI/CD workflows (AWS, Azure)
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8717128
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/06/2026
מיקום המשרה: ירושלים
סוג משרה: משרה מלאה
חברת הייעוץ מגייסת מוביל/ה עסקי/ת חדשנות למשרד ממשלתי בירושלים.
התפקיד כולל הובלת יוזמות חדשנות ובינה מלאכותית (AI), זיהוי צרכים עסקיים, גיבוש Use Cases, הובלת פרויקטים רוחביים ועבודה מול מגוון יחידות עסקיות וגורמים טכנולוגיים לקידום פתרונות חדשניים בעלי השפעה ארגונית.
דרישות:
לפחות 4 שנות ניסיון בניהול פרויקטי מחשוב וטכנולוגיה- חובה
ניסיון מוכח בהובלת תהליכי רוחב אסטרטגיים בתחום החדשנות וה AI- חובה
ניסיון מוכח בהובלת תהליכים / פרויקטים מורכבים, בעלי שותפים רבים בהיקף של מליוני שקלים בתחומי מערכות מידע
ניסיון משמעותי בהובלה, אפיון, הטמעה או ניהול של יוזמות, מוצרים או פרויקטים מבוססי AI
ניסיון בהובלת פרויקטים רוחביים או פלטפורמות ארגוניות מבוססות AI
השכלה רלוונטית בתחום
ניסיון במערכת הבריאות- יתרון
ניסיון בעבודה בארגון ציבורי או ממשלתי גדול- יתרון. המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8716625
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
29/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.
Responsibilities:
Lead a team of data scientists, data engineers and product analysts
Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation
Drive excellence, code quality, and best development practices
Provide technical direction and hands-on guidance for complex AI systems
Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences
Ensure AI solutions are safe, scalable, observable, and continuously improving
Lead initiatives around product data analysis and experimentation
Analyze user interactions with product features to improve accuracy, UX, and business impact
Partner with product teams to define metrics, dashboards, and experiments that guide product improvements
Design system architectures for AI-enabled applications at scale
Evaluate and select technologies for AI platforms and data pipelines
Guide the development of prompt engineering frameworks and centralized prompt management
Ensure robust monitoring, evaluation, and feedback loops for AI outputs
Translate product and business goals into technical roadmaps and execution plans
Drive alignment between AI capabilities and measurable product outcomes.
Requirements:
6+ years of software engineering experience building production-level systems.
2+ years of engineering management or technical leadership experience.
Strong experience building large-scale backend systems in Python.
Experience developing modern web applications using frameworks such as React / Next / Angular / Vue.
Experience deploying and operating LLM-based systems in production, including evaluation and iteration.
Strong understanding of data pipelines, experimentation, and product analytics.
Experience with modern cloud environments such as Google Cloud Platform or Amazon Web Services.
Passion for clean code, scalable architectures, and data-driven product development.
Experience with prompt engineering, RAG architectures, and vector databases.
Experience building AI agents or autonomous workflows
Nice to Have:
Experience with frameworks such as ADK, A2A, LangChain, LangGraph, or LlamaIndex or equivalent
Experience with gRPC and protobuf-based architectures
Experience building MCP servers
Background in data engineering, experimentation platforms, or ML infrastructure.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8715750
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
29/06/2026
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 Manager).- יתרון המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8650406
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
28/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
we are looking for a AI Adoption Engineer.
Responsibilities:
1. Use Case Discovery & Prioritization
Embed with non-R&D teams (CS, Sales, Marketing, Finance, HR, Operations) to understand workflows and identify where AI creates the highest leverage.
Define and prioritize whats worth building, maintaining a live backlog aligned with VP of AI.
Good discovery is the difference between automation that gets used and automation that gets ignored.
2. AI Tool Development & Delivery (~40%)
Build custom tools, workflow automations, Cowork skills, and AI integrations with existing business systems.
Validate with real users, iterate on adoption signals, and transition stable tools to team ownership.
This role leads by shipping. Working tools - not proposals - are the primary output.
3. Enablement & Adoption
Ensure tools get used: onboarding sessions, playbooks, and hands-on support through behavior change.
Build team confidence and self-sufficiency over time; avoid creating dependency on a single person.
4. AI Landscape Awareness
Evaluate new models, tools, and capabilities for internal relevance and bring what matters back to Navina.
Collaborate with VP of AI to maintain a current roadmap for internal AI operations.
Requirements:
3-5 years in a technical role (engineering, solutions engineering, product, or similar) with demonstrated ability to ship software independently.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Google, or equivalent).
Strong product instincts - knows whats worth building and can make scope decisions without over-engineering.
Python proficiency: scripting, API integration, automation pipelines.
Experience with workflow automation tools (Zapier, Make, n8n, or similar).
Clear communicator across technical and non-technical audiences; self-directed and comfortable with ambiguity.
Optional / Nice-to-Have:
Experience in digital health, healthcare IT, or a regulated industry.
Familiarity with Claude for Work, Cowork, NotebookLM, or Base44.
Background in solutions engineering, technical consulting, or B2B SaaS product management.
Startup or scale-up experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8713914
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דיווח על תוכן לא הולם או מפלה
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
28/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
we are looking for a AI Architect.
Responsibilities:
1. AI Architecture & Technical Leadership
Guide AI architectural direction across Navinas platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure Navinas AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.
Requirements:
Proven experience designing and building complex AI systems that have been successfully delivered to production, with an end-to-end understanding of research, architecture, validation, and production handoff.
Strong hands-on experience with modern AI approaches, including Machine Learning, Deep Learning, and LLM-based systems; experience with agentic AI systems or orchestration patterns is a strong advantage.
Demonstrated ability to move quickly from idea to working prototype, with a strong passion for hands-on experimentation and applied innovation.
Experience working in environments involving sensitive data and regulatory constraints, with an understanding of how these considerations shape AI system design.
Excellent system-level technical judgment, including the ability to identify risks, tradeoffs, and unintended consequences in AI systems.
Proven ability to act as a technical leader without formal authority, influencing and guiding senior peers through collaboration and expertise.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse stakeholders.
Ability to contribute to clear technical and AI-related compliance documentation.
High proficiency in Python and modern AI/ML tooling.
Optional / Nice-to-Have :
Deep experience in NLP, NLU, or clinical text processing.
Experience deploying LLMs or agent-based systems in production.
Familiarity with cloud-native ML stacks (AWS, Docker, Kubernetes).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8713908
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