לוח משרות דרושים מנהל מוצר AI

We are looking for a senior product manager to join our AI Unit and help shape the AI platform that powers our next generation of products.
This role focuses on the platform and ecosystem layer of AI, building the capabilities, standards, and systems that enable teams across the company to create AI-powered experiences effectively.
You will work closely with engineering, data, and product teams to define how AI capabilities are built, reused, and governed across the platform.
This is a high-impact role with broad scope. It requires strong product fundamentals, technical curiosity, and the ability to operate in an evolving space.
Job responsibilities:
Own key parts of the AI platform roadmap, balancing foundational investments with product impact
Help define reusable AI capabilities (e.g., retrieval, embeddings, scoring, agent tooling)
Contribute to shaping how we evaluate, monitor, and improve AI systems in production
Partner closely with engineering on architecture and technical tradeoffs Support the definition of governance and control mechanisms (quality, safety, cost, transparency)
Work with product teams to enable adoption of AI capabilities across the platform
Improve developer and product team experience when building AI features
Contribute to defining standards, best practices, and ways of working for AI across
What makes this role interesting:
You will work on foundational systems that impact multiple product areas
You will help shape how AI is built and used across the entire platform
You will collaborate across teams and influence both product and technical direction
You will operate in a fast-evolving domain with real opportunity to define how things should work.

we are seeking an R&D AI PMO to support the execution of its AI strategy and transformation across Product and R&D. Reporting to the Head of Strategy and Operations for Technology and Product, the role will be responsible for identifying high‑value AI use cases across the software development lifecycle (SDLC) and institutionalizing the use of AI capabilities to deliver measurable improvements in development efficiency, quality, and business impact. Working closely with R&D and Product leadership, the role will drive adoption through training, documentation, knowledge sharing, and governance, while defining and tracking KPIs related to financial benefits, efficiency, and quality. This role is critical to the success of Sapiens AI transformation and requires strong technical acumen, hands‑on experience with modern AI development tooling (e.g., Claude Code, Rovo, GitHub Copilot), and proven experience leading technology‑driven transformation programs at scale.



Key Responsibilities:​
Support the implementation of the AI strategy across R&D by identifying, selecting, and institutionalizing AI tools to drive efficiency across the SDLC​
Partner with R&D and Product leadership to drive adoption of AI tooling, developing training materials, use cases, and leading enablement sessions across divisions/product teams​
Define and track KPIs to measure AI impact (e.g., financial benefits, development efficiency, quality improvements), providing visibility on realized value​
Establish and maintain governance frameworks, artefacts, and AI usage policies in collaboration with R&D Ops and SecOps to ensure structured and compliant adoption​
Identify operational risks related to AI adoption, driving mitigation plans and supporting governance forums to track progress and communicate with senior stakeholders​

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.

Were looking for a Director of AI Product Management to lead AI Assistant, MCP Server, and the evolution of agentic capabilities across the platform. This is a unique opportunity to shape how developers and organizations build, secure, and deliver software with the help of intelligent, autonomous experiences.
As a Director of AI Product Management , you will...
Define and drive the AI strategy for platform, focusing on assistant capabilities, model integration, and developer intelligence.
Lead and mentor a team of AI-focused product managers, empowering them to deliver transformative experiences across products.
Own the vision, roadmap, and execution for AI Assistant, MCP Server, and agentic experiences.
Partner with engineering, data, and design teams to build production-ready AI systems, integrating LLMs and reasoning models into developer workflows.
Shape the AI platform architecture - ensuring context awareness, privacy, and responsible model usage across all environments.
Collaborate with Go-To-Market and Customer Success teams to identify high-impact AI use cases that drive adoption, productivity, and differentiation.
Establish a culture of experimentation and measurement - defining metrics for AI engagement, success rate, and business impact.
Stay ahead of industry trends in LLMs, AI agents, and DevOps automation, bringing fresh thinking into platform vision.
Collaborate with technical teams, business stakeholders, and cross-functional product leaders to deliver a unified development platform.

we are embedding AI-driven capabilities across its insurance pricing and rating platform. To accelerate this, we are looking for a student with a strong analytical and mathematical background who can serve as a bridge between the theoretical foundations of our algorithms and their implementation in production code. This role offers a unique opportunity to bridge the gap between the theoretical foundations of our company's algorithms and their implementation in production code. You will create AI-powered skills and knowledge bases that enable developers to understand what specific functions do, how they relate to the underlying mathematics, and how they connect to the broader algorithmic pipeline. Youll work on cutting-edge projects involving LLMs, agentic capabilities, and structured knowledge management - solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.
?What youll do: Review and interpret theoretical and mathematical descriptions of algorithms used in the company platform (e.g. GLMs, gradient boosting, optimization routines, rating engines) and map them to corresponding functions, classes, and modules in the codebase. Author structured AI skills (prompt-based documentation packages) that allow an AI assistant to explain to a Developer what a given function does, its mathematical basis, inputs, outputs, and role in the end-to-end process. Create and maintain a structured knowledge base linking mathematical specifications to code artefacts, ensuring it is accurate, testable, and maintainable as algorithms evolve. Optimize, evaluate, and refine AI solutions to enhance performance, accuracy, and efficiency of generated explanations. Expand training and testing data for AI skills, leveraging both hand-crafted and automated examples. Identify gaps where code behavior diverges from or extends the documented theory, and address challenges in AI architecture scalability and reliability. Support the wider AI enablement program by contributing to prompt engineering, testing, and iteration of AI-powered Developer tools.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Were seeking a tech-savvy Product Manager to lead one of our cross-functional squads. In this role, you will drive the development and success of our product, shaping solutions that enhance efficiency and automation for IT teams worldwide.

As the Product Manager, you will own the product vision and roadmap, turning complex challenges into intuitive, impactful solutions. Youll collaborate with engineering, design, and business stakeholders to deliver innovative features that empower thousands of global customers and shape the future of AI-powered IT Service Management.



Responsibilities

Lead a cross-functional squad to own and deliver AI-driven product initiatives end-to-end, from discovery to launch and adoption.
Stay at the forefront of AI technology and trends, bringing innovative capabilities into product in a practical, customer-focused way.
Partner closely with Product Design to deliver best-in-class AI experiences that are intuitive, trustworthy, and drive adoption.
Define and prioritize product requirements by combining user feedback, market trends, data insights, and stakeholder input.
Drive data-driven decision making by defining success metrics and using product analytics to evaluate impact, adoption, and customer value.
Monitor and continuously improve AI performance over time, including quality, accuracy, latency, reliability, and user trust, ensuring consistent value at scale.
Collaborate with internal teams (engineering, analytics, customer revenue, and marketing) to ensure successful execution and alignment with business goals.

Required Product Manager - Harmony
Job Description
As a Product Manager, you will:
Own end-to-end product strategy and execution from ideation to production and iteration
Define and evolve the hybrid AI & manual creation experience
Lead discovery processes, including market research, BI analysis, user interviews, and experimentation.
Work closely with AI teams to define intelligent behaviors, agent workflows, and system logic
Collaborate with UX, Engineering, Data, and Marketing to bring impactful features to market
Continuously analyze user behavior and feedback to refine and polish the product
Play a central role in shaping the roadmap of Harmony.

Required staff product owner - ai solutions
company description
about us:
A palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. Our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
we are looking for a staff product owner to define, design, and lead innovative ai/ml products and services that shape our future in ai solutions. you will work with data science, analytics, engineering, product, architecture, and security teams to translate strategy into an actionable roadmap and ship reliable, scalable capabilities.
youll shape the ai solutions group vision, translate complex business needs into clear technical requirements, and guide r&d through execution, while staying laser-focused on quality, scalability, and measurable outcomes.
define & prioritize the backlog: gather requirements, write clear epics/user stories with acceptance criteria, and keep a well-ordered backlog aligned to objectives.
drive delivery: lead/participate in agile ceremonies including daily stand-ups, planning, reviews & retros.
bridge business & technology: translate business problems into technical requirements; ensure teams understand goals and trade-offs.
lead cross-functional execution: partner across company teams to remove blockers and land initiatives end-to-end.
advance ai/ml capabilities: drive innovation across supervised/unsupervised learning, anomaly detection, and genai/llms.
champion production ml: mlops best practices, data governance, explainability, monitoring, rbac approvals/audit, and cost/latency budgets.

We are looking for a senior product designer to define how developers collaborate with AI to build and maintain software. You will own high impact product areas end to end, shaping intuitive experiences within complex, technical and data rich environments. This role requires deep systems thinking, strong product judgment and fluency in AI-powered workflows.

What Youll Do
Lead end-to-end design for core product areas, from discovery and concept through implementation and iteration

Design AI-powered experiences that balance model capability, human intent and developer workflow constraints

Create scalable interaction patterns for AI copilots, agent driven workflows and human-in-the-loop systems

Translate AI capabilities into clear, usable and trustworthy interfaces

Partner closely with engineering and product to ship high quality solutions

Use quantitative data, experimentation and user research to validate decisions and drive continuous improvement

Contribute to and evolve a robust design system that supports complex, data-dense interfaces at scale

A new type of finance role designed for an AI-driven organization. You will combine strong FP&A fundamentals with curiosity for GenAI tools, modern analytics, and SaaS monetization. Working closely with AI leaders, product teams, and business stakeholders, you will help translate innovation into financial insights while contributing to core financial execution.

What will your job look like?
Support planning, forecasting, and performance analysis for Data & GenAI initiatives
Build financial models for AI solutions, SaaS offerings, and data-driven business cases
Analyze monetization approaches for GenAI-driven capabilities and internal transformation programs
Design and track KPIs measuring efficiency, productivity, and value from AI adoption
Partner closely with product, engineering, and AI leaders to translate roadmaps into financial narratives
Use GenAI and analytics tools to streamline reporting and improve decision-making workflows
Maintain ownership of core FP&A deliverables while supporting strategic decision-making

Were looking for an AI Product Manager who loves building early, testing fast, and turning ambiguous ideas into real, testable experiences.
This role is all about rapid prototyping: sometimes with low-code tools, sometimes with a quick Python script or an AI agent chain - always focused on learning fast and delivering value. Youll collaborate deeply with design and engineering to validate concepts before they reach production, and help shape what we ultimately ship.
Were on a mission to save the world - one bee at a time.
With bee populations in global decline, we develop next-generation solutions at the intersection of software, AI, robotics, and environmental science to protect pollinators and preserve biodiversity.
Were a team of engineers, scientists, and innovators using technology for good - building the future of sustainable agriculture.
If you're passionate about AI-driven products, excited to work on applications that solve real-world challenges, and eager to drive innovation end-to-end, wed love to meet you.
What You'll Do?
Define and execute product vision and strategy aligned with business and user needs
Translate deep user research and market insight into intuitive, high-value user experiences.
Lead hands-on discovery: define hypotheses, prototype, test with users, and iterate quickly
Translate complex or ambiguous ideas into rapid, functional high quality product prototypes
Build and explore AI-driven workflows using tools like Claude Code, Cursor, Gemini, Windsurf, and agent-based setups
Create prototypes that reflect strong UX thinking and strong engineering foundations
Partner with designers to shape intuitive user flows and interaction patterns
Work with engineers to ensure a smooth, high-quality handoff from prototype to production
Define success metrics for prototypes and early features, and use them to guide decisions
Drive 0→1 product decisions and contribute to the roadmap.

If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.

You will own AI infrastructure and agentic interaction layer on top of our Data Platform.

The data layer is the product.
The AI layer is the multiplier.
The interaction model between them is the future.

Your responsibility is to design and build:

The AI infrastructure that enables safe, scalable, production-grade AI features

The ability to interact with Data Layer through LLMs and agentic workflows

Guardrails, governance, and system boundaries for AI-driven data access

The foundations that allow AI to be powerful without compromising correctness or trust

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

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

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

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

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