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25/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Product Manager on the Paradox team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.
Youll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.
One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. Youll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.
You will:
Own AI-driven features, including candidate and recruiter-facing experiences.
Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.
Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.
Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.
Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.
Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.
This role is ideal for someone excited to be in the weeds with AI systems-understanding how they behave, why they fail, and what to adjust to make them meaningfully better for real users.
Requirements:
Basic Qualifications:
4+ years of experience as a Product Manager (or technical role with clear PM trajectory).
Proven experience delivering LLM-based products into production (handling latency, costs, guardrails, and real-user edge cases).
Hands-on experience with GenAI architectures & evaluations: Strong grasp of RAG, prompt engineering, and core LLM evaluation frameworks (e.g., benchmark datasets, output validation).
Strong cross-functional collaboration skills, bridging technical teams (DS/Eng) and non-technical stakeholders (CSM, Business).
Proven ability to turn ambiguous problems into clear product decisions and priorities.
Other Qualifications:
Experience building agentic workflows or complex multi-agent systems (e.g., tool use, function calling, autonomous execution).
Prior experience in HR Tech or Talent Acquisition workflows.
Hands-on experience building/optimizing fine-tuning or RLHF pipelines.
Track record in a fast-paced 0→1 / early-stage product environment.
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.
Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.
Strong grasp of modern patterns for integrating LLMs into real workflows, including RAG, MCP (Model Context Protocol), vector databases, agents, tool use, and context engineering- with hands-on experience building with several of them.
- Production experience implementing LLM-powered systems end-to-end, using relevant tools and frameworks (e.g. LangChain, LlamaIndex, LangGraph, Haystack, Pydantic AI, vector stores like Pinecone/Weaviate/pgvector, observability tools like LangSmith or Langfuse).
- Solid foundation in core ML concepts; embeddings, evaluation, overfitting, generalization, and how classical ML relates to and differs from modern LLM-based approaches.
Nice to Have:
- Experience fine-tuning or distilling open-source models.
- Contributions to open-source AI/ML projects.
- Experience with streaming, real-time systems, or low-latency inference.
- Familiarity with prompt evaluation frameworks and LLM-as-judge methodologies.
This position is open to all candidates.
 
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18/08/2026
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.
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.
Demonstrated ability to manage complex projects from concept to launch, balancing strategic thinking with execution discipline.
Strong analytical and problem-solving capabilities, with a structured and data-driven approach to prioritization and decision-making.
Excellent communication and presentation skills, with the ability to engage effectively with executives, customers, engineering teams, and go-to-market stakeholders.
Self-motivated, proactive, and comfortable operating in a fast-paced, dynamic environment.
Experience with enterprise-scale products and large, sophisticated customer environments is a strong advantage.
Background in cloud firewall, FWaaS, CNAPP, cloud network security, or adjacent cloud security domains is highly preferred.
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Senior AI Product Manager to take ownership of core areas of our B2B platform - the point where powerful AI capabilities become real products that customers rely on. We've already built the foundation: rich data, agentic infrastructure, and deep domain intelligence. Now we need someone who can take what's working with one customer and make it work everywhere - productizing capabilities, scaling them across our customer base, and raising the quality bar as they grow.

This is a hands-on builder role. You'll work in close, direct partnership with both customers and R&D - running discovery, analyzing the data, and prototyping ideas yourself, then teaming up with R&D to bring them to life at scale.

This is a fast-moving area, and we'll shape the exact scope together, based on where you can create the most leverage for the business. We're looking for true startup reflexes: the ability to shift focus as priorities shift, zero in on what matters most this quarter, and make clear, deliberate trade-offs.

If you thrive in a fast-paced startup environment and want to build AI products that make complex insights accessible and actionable for a real-world, >$1B industry, this role is for you.

What You'll Do

Own core areas end to end - strategy, discovery, execution, and measurement. Define what success looks like in numbers, and stay accountable to it well beyond launch.
Productize and scale what works. Turn capabilities proven with one customer into products that work seamlessly across your entire customer base.
Lead discovery yourself. Run customer and prospect conversations to uncover what people will actually pay for, and bring back a scoped, evidenced bet.
Prototype your ideas. Go from concept to working prototype using coding agents and AI tooling, with a design bar high enough to serve as a real proposal.
Own quality. Define what "good" means for our agents, build the evals to measure it, and raise the bar on reliability, cost, and trust as the system evolves.
Partner deeply with R&D. Engage on technical trade-offs - accuracy, latency, cost, build vs. buy - and earn the team's respect through substance.
Drive it to market. Team up with design, sales, marketing, and customer success to package, position, and launch it, then feed adoption data back into the roadmap.
Requirements:
4+ years in product, ideally with a mixed background: product plus engineering, or product plus data or analytics. We weigh evidence of what you have built above the number itself.
AI-native practice. You work fluently with agentic systems and know current best practice: tool and context design, retrieval, orchestration, guardrails, failure modes. You have built and run evals, and you can say where your agents broke and what you did about it.
Hands-on data fluency. You independently query and interrogate data to size an opportunity, validate a hypothesis, or judge whether an agent's output is any good. SQL and Python or equivalent, used in real work.
Builder instinct with design judgment. Idea to prototype to product, with coding agents as part of your daily craft. Strong UX orientation for complex data products, and the ability to produce a credible design proposal yourself.
Customer and commercial range. Comfortable leading discovery calls and working directly with sales and marketing. Excellent communication, with the ability to simplify complexity for customers and executives alike.
Startup temperament. Proven experience in startups, ideally at scale-up stage. You resolve ambiguity yourself rather than escalating it, and you make trade-offs explicitly.
Nice to have

Experience with data-intensive, API or infrastructure-adjacent products where part of the customer is internal.
Data acquisition experience: sourcing, licensing, partnerships, and the quality and legal questions that come with them.
Enterprise B2B, especially selling into large CPG, retail or foodservice organizations.
This position is open to all candidates.
 
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19/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a fast-paced, technology-driven team where everyone's contribution impacts product success.

We are looking for a hands-on, business-minded AI Engineer to join our Data & AI Team.

This role is for someone who has already built and shipped real AI products in a company environment. You will work as an integral part of the Data & AI Team, partnering directly with business stakeholders to identify high-impact opportunities, translate business needs into technical solutions, and build AI products that automate internal processes and create immediate value.

The ideal candidate is a builder. You should be comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, data warehouses, and internal company systems. You should also be comfortable taking ownership, asking sharp business questions, and moving ideas from concept to production.

Our Data Team has already built internal AI products at our company. Now we are looking for someone who can help take us to the next level.

What Were Looking For
The right person has built with AI in a real company environment and knows how to turn business needs into practical internal products. They should be comfortable working with stakeholders, understanding how teams operate, and identifying where AI can create meaningful value.

Because this role sits inside the Data & AI Team, they also need to be strong with data. That means working confidently with company data, data warehouses, pipelines, APIs, and the technical building blocks that make AI products reliable and useful.

This role is for someone hands-on, curious, and hungry to build. Someone who can combine AI, data, and business context to help our company move faster, automate smarter, and turn ideas into measurable business wins.

What Youll Do
Build end-to-end internal AI products, automations, agents, and workflows that solve real business problems across our company.
Work directly with business stakeholders to understand pain points, define requirements, and turn ideas into scalable AI-driven solutions.
Design, prototype, test, deploy, and maintain production AI products using LLMs, AI agents, APIs, automation frameworks, and internal company data.
Work hands-on with data tools and infrastructure, including Snowflake, ETLs, data pipelines, APIs, AI tools, and internal servers.
Identify high-impact manual processes and turn them into automated AI-driven business wins.
Evaluate new AI tools, frameworks, and agentic workflows, and apply them where they can improve productivity, decision-making, or business operations.
Help shape internal AI development best practices around reliability, usability, security, documentation, maintainability, and production readiness.
דרישות:
2-5 years of hands-on experience in AI Engineering, Data Engineering, Software Engineering, Data Science, Analytics Engineering, or a similar technical role.
Proven experience building and deploying AI-powered products, workflows, agents, automations, or business solutions in a real company environment.
Strong hands-on experience with LLMs, AI agents, prompt engineering, RAG, workflow automation, APIs, or AI development frameworks.
Ability to code and build practical solutions using Python, SQL, JavaScript/TypeScript, or similar languages.
Strong data experience, including ETLs, data pipelines, APIs, databases, data warehouses, and Snowflake.
Experience working in a SaaS or B2B technology company.
Strong business acumen, ownership, and communication skills, with the ability to work independently with stakeholders and drive projects from idea to production.
Degree in Engineering, Computer Science, Mathematics, Statistics, Physics, or a related quantitative field - advantage
Advantages
Experience with agent frameworks, RAG systems, vector databases, orchestration tools, Snowflake, Airflow, Rivery, Gitlab, Claude, OpenAI, or similar tools.
Experience working in a cybersecurity or data company.#ENGLISH המשרה מיועדת לנשים ולגברים כאחד.
 
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24/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a AI Engineer - Algorithm Team.
As an AI Engineer, you will join a fast-moving, highly technical team that works at the intersection of computer vision, deep learning, and modern AI. You will be the driving force behind our LLM and agentic AI efforts - exploring, evaluating, and deploying the latest research and tooling in this rapidly evolving space, and shaping how we apply it across the organization to turn cutting-edge ideas into production-ready tools and agents.
You will design and build LLM-powered applications, agentic workflows, and internal tools that empower our algorithms, mapping, and engineering teams to move faster and operate at greater scale. Collaboration is central to the role, you will work closely with researchers, engineers, and domain experts to identify high-impact opportunities, prototype quickly, and integrate reliable AI systems into real-world products.
Key Responsibilities:
Design, build, and iterate on LLM-powered applications, including retrieval-augmented generation (RAG) systems, agents, and fine-tuned models tailored to unique data and workflows.
Develop agentic workflows that automate complex, multi-step tasks across research, data analysis, and engineering pipelines.
Build internal tools and assistants that empower algorithm researchers, mapping experts, and engineers to work faster and more effectively.
Evaluate and integrate the latest foundation models, frameworks, and techniques (e.g., prompt engineering, fine-tuning, tool use, multi-agent orchestration), keeping pace with rapid advances in the field.
Design robust evaluation methodologies to measure quality, reliability, and safety of LLM-based systems.
Collaborate closely with the Algorithms, Mapping, and Software teams to identify high-impact opportunities and transition prototypes into reliable, production-grade systems.
Requirements:
Experience in building and shipping meaningful, production-grade agentic systems - not just demos or prototypes. Were looking for people who can walk us through what they built, the real problem it solved, and the value it created.
Deep, in-depth understanding of LLMs - including how they work under the hood (transformer architecture, tokenization, attention, sampling), their failure modes, and the practical tradeoffs between models, prompting strategies, fine-tuning, and retrieval.
Strong hands-on experience with modern agentic frameworks (e.g., LangGraph, LangChain, or equivalent) and with designing multi-step, tool-using workflows.
Strong command of RAG, prompt engineering, evaluation methodologies, and techniques for improving reliability and reducing hallucinations in LLM-based systems.
Strong proficiency in Python and experience with common AI/ML libraries and APIs (e.g., OpenAI, Anthropic, Hugging Face, PyTorch).
solid software engineering practices, including writing clean, maintainable code and building robust, scalable systems.
5+ years of experience developing machine learning, AI, or software systems.
B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or similar field.
This position is open to all candidates.
 
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25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Are you an analytical person who is deeply interested in AI and LLM technology?
Is your superpower accurately categorizing information and identifying patterns?
Do you love to solve interesting challenges and make a direct impact through your work?
Join our Tel Aviv team as an AI Data Analyst and help shape the future of AI. We're looking for analytical minds to contribute to our cutting-edge Large Language Model (LLM) project. In this unique role, you'll be performing LLM data quality tasks, ensuring consistency and quality in our conversations and helping design and support our flagship products.
This is more than a traditional data-labelling role. You will combine hands-on evaluation work with analytical thinking to help shape how our AI experiences evolve.
Sound like your perfect fit? We want to hear from you!
As an AI Data Quality Analyst, you will evaluate LLM-generated conversations and other text-based data, identify trends and regressions, and partner with AI Engineers and Product Managers to improve model performance. In this role, you will:
Review and evaluate LLM-generated conversations and other text-based outputs against task-specific quality criteria and success metrics.
Perform high-quality annotation and data labeling to create reliable datasets for model training, benchmarking, and evaluation.
Monitor real production data to identify quality trends, regressions, and areas for improvement.
Identify qualitative patterns, recurring failure modes, regressions, and opportunities to improve model behavior and user experience.
Analyze evaluation results and clearly communicate insights, risks, and recommendations to cross-functional stakeholders.
Work closely with our AI Engineers and Product Managers to understand the data needs and ensure data quality processes align with goals, ensuring Paradox and our company products remain top in class.
Requirements:
Experience with data labeling or annotation, ideally involving textual data, conversational data, or generative AI.
Strong qualitative research and analytical skills, with the ability to detect meaningful patterns in large volumes of textual data.
Strong attention to detail, sound judgment, and a high bar for consistency and quality.
Creative, out-of-the-box thinking and a proactive approach to investigating ambiguous or unexpected model behavior.
Technical curiosity and confidence working across web-based tools, labeling platforms, dashboards, and evolving internal interfaces.
Strong English fluency, both written and verbal communication
A research-oriented background, such as Linguistics, Human-Computer Interaction, Cognitive Science, Psychology, or a related field.
Ability to work as from our company Tel Aviv, Israel office location.
Nice to Have:
Experience working directly with LLM analysis, model evaluation, conversation quality assessment, or related AI quality workflows.
Hands on experience using AI tools such as Claude Code, Cursor, or similar tools.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8797023
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
18/08/2026
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
עדכון קורות החיים לפני שליחה
8786832
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We develop the AI infrastructure that powers the AI experience throughout the product. We ensure the production AI platform is stable, reliable and secure.
Our mission is not only to build AI-powered features, but to enable every product team to build reliable, scalable, and high-quality AI experiences.
We work with modern LLM technologies, agentic workflows, MCP, retrieval systems, evaluation pipelines, distributed systems, and production-grade AI infrastructure, deploying to production multiple times a day.
Job responsibilities
What You'll Do
As a Tech Lead, you'll play a key role in shaping the future of AI .
You'll combine deep technical expertise with strategic thinking, helping multiple teams build production-ready AI experiences while driving engineering excellence across the organization.
In this role you will:
Lead the technical direction of one of AI domains.
Design scalable AI architectures and production-ready agentic systems.
Drive technical decisions around LLMs, Retrieval, Tool Calling, MCP, evaluation frameworks, and AI infrastructure.
Own complex cross-team initiatives from design through production.
Collaborate closely with Product, Data, Infrastructure, and Engineering teams to turn AI opportunities into customer value.
Help define engineering standards and best practices for building reliable AI systems.
Drive engineering excellence through architecture reviews, mentoring, and technical leadership.
Balance rapid experimentation with production-grade quality and scalability.
Evaluate emerging AI technologies and identify opportunities to improve our platform and customer experience.
Requirements:
10+ years of software engineering experience with a strong backend background.
3+ years as a Tech Lead or technical leader in fast-paced environments.
Strong AI engineering skills, including context engineering, agent optimization, troubleshooting, and systematic evaluation of AI system performance.
Excellent system design and distributed systems experience.
Strong understanding of scalable cloud architectures (AWS or equivalent).
Experience building production-grade backend services and microservices.
Excellent communication and stakeholder management skills.
Passion for solving complex technical problems.
Curiosity and excitement about AI and rapidly evolving technologies.
Ability to lead technical direction while remaining hands-on.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8778992
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
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סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads
Requirements:
8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8803959
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