לוח משרות דרושים מנהל מוצר AI משרה מלאה, לחיפוש זה נמצאו 33 משרות

We're looking for a Product Builder to help define the next chapter of the browser - someone who ships their own prototypes, holds strong opinions on craft, and doesn't wait to be told where to start.
You'll own a product area end-to-end: frame the opportunity, build the prototype that sells it, ship the experience alongside design and engineering, and measure how it lands.
Your work will shape how people move through the web every day.
What You'll Do:
Own product areas end-to-end, from discovery through post-launch iteration.
Turn ambiguous opportunities into opinionated proposals, backed by research, data, and working prototypes.
Prototype the experience yourself - in Cursor, Claude, Figma, or whatever gets an idea into something people can feel.
Partner with and ship alongside design and engineering. From kickoff to polish.
Monitor performance post-launch and make the call on what comes next.

We are expanding its AI capabilities, and were looking for an AI Product Adoption Engineer who thrives on hands-on execution, customer proximity, and getting real AI solutions live in the field.
This is a boots-on-the-ground position for someone who is energized by rolling up their sleeves, working side-by-side with customers and internal teams, and doing what it takes to get AI products fully implemented, adopted, and delivering value.
You will work directly with customers, sales and post-sales teams, Product Managers, and Engineers to ensure our AI capabilities are live, working, and embedded into real enterprise workflows.
If youre excited by driving large-scale AI adoption, building internal champions, and spending time with customers to get AI solutions up and running, this role is for you.
What will you actually be doing?
Owning AI adoption across our global customer base.
Defining, executing, and continuously improving adoption approaches based on what works in real customer environments.
Acting as a go-to resource for customers and internal teams when AI needs to be explained, implemented, or unblocked.
Clearly articulating our AI strategy, product value, and differentiation internally and externally.
Serving as a trusted, highly credible product expert to help internal teams and customers move confidently from experimentation to production usage.
Building and maintaining a real-world AI use case library grounded in customer problems, solutions, and outcomes.
Applying strong discovery skills to understand customer challenges, diagnose root causes, and map them to our AI capabilities.
Partnering closely with Product Managers to surface gaps, opportunities, and required improvements.
Bringing structured feedback and market intelligence from the field to help shape the AI roadmap.
Staying deeply connected to Engineering and Product to understand our technical strengths, constraints, and evolution.

We are looking for an AI-savvy Product Manager to join as we continue expanding and exploring the hottest intersection in the security market: agentic AI and SecOps. The ideal candidate will have both experience in at least one SOC-adjacent domain (threat intelligence, SecOps, hunting, incident response) and strong understanding of agentic AI.
Youll own parts of agentic platform: where agents are managed, how they interact with users, and how they can help SOCs to reduce system-critical metrics and overall threat exposure.
What Youll Be Doing:
Lead critical parts of agentic platform to help drive forward adoption and innovation across the full lifecycle - from UX to prompt engineering
Become an expert in AI SOC offering and in Platform as a whole
Represent the customers voice inside to ensure were staying on the critical path
Work closely with top-notch engineering teams to deliver product capabilities and stay on top of state-of-the-art AI trends
Analyze product data - from classic product analytics to AI evaluations of usage patterns - to proactively bubble up user needs or issues

As the AI Product Manager Team Lead, reporting directly to the CIO. You will manage the implementation of organizational AI strategy.The role will work closely with senior business leaders, IT, Security, Data, Engineering, Product, and the CTO organization to align AI initiatives with business priorities, technology standards, and risk appetite. This role requires a unique combination of technical depth, a product-driven mindset, and a deep familiarity with the global AI ecosystem. You will lead a specialized AI Squad to map opportunities and execute end-to-end solutions that drive a measurable competitive advantage.
Responsibilities
Squad Management: Lead and mentor the AI squad, including implementation, engineering, and security capabilities, ensuring clear priorities, delivery discipline, and cross-functional execution.
AI Market Expertise: Act as the organizations subject matter expert on the evolving AI landscape; continuously evaluate third-party tools, LLMs, and automation frameworks to identify high-impact solutions.
Product-Needs Mapping: Partner with business and technology leaders across HR, Finance, Legal, Operations, IT, Security, Engineering, Research, and Product to identify pain points, qualify AI opportunities, and convert them into prioritized use cases.
Strategic Roadmap: Define the AI vision and prioritize initiatives based on ROI, technical feasibility, and long-term organizational impact.
Technical Orchestration: Orchestrate solution design and implementation with IT, Security, Data, and Engineering teams, ensuring integrations are secure, scalable, maintainable, and aligned with enterprise architecture standards.
Stakeholder Influence: Translate complex technical capabilities into business value for senior executive leadership, while fostering a "bottom-up" innovation culture.

We are looking for a talented and highly driven G2M Engineer to join our fast-growing team.
What Youll do?
Design and deploy AI-driven GTM agents that monitor product, CRM, and intent signals and trigger next-best actions for Sales, Growth, and Partnerships
Build automated workflows that handle lead qualification, enrichment, scoring, routing, follow-ups, and handoffs without human intervention
Translate product usage and PLG signals into revenue plays (expansion, upsell, rescue, ABM, partner activation, churn risk)
Architect and maintain custom integrations and APIs across CRM, data platforms, enrichment tools, sales engagement, and internal systems
Prototype and productionize new GTM automations using scripts, low-code/no-code tools, and AI models
Partner with Product and Growth to turn in-app behavior into real-time GTM triggers
Continuously experiment with new AI tools and approaches to improve speed, quality, and scalability of revenue execution
Define and optimize productivity systems for AEs, BDRs, and Partner Managers (task automation, prioritization, sequencing, intelligence feeds)
Ensure GTM systems are reliable, observable, and designed for scale - not just short-term fixes
What Youll Build:
AI-powered workflows and agents that qualify, route, prioritize, and enrich leads and accounts in real time
Signal engines that translate product usage, intent data, and inbound activity into clear GTM plays
Automated GTM pipelines that connect PLG motion with assisted sales and partner motion
Smart routing and prioritization logic that maximizes AE and BDR productivity
Custom automations and integrations that eliminate manual work across the GTM stack.

we are looking for a Director, AI & Machine Learning.
As the Director of AI & ML you will serve as the strategic and technical anchor for our Israel based AI and Machine Learning functions reporting directly to the VP of Data & AI. You will own the delivery of the core capabilities that power our product bridging the gap between high level business strategy and production grade AI execution. This is a high impact leadership role designed for a senior technical partner who can drive cross organizational alignment across Product, Engineering and Platform teams.
We are looking for a leader who moves beyond a traditional management layer to represent the DS/AI function in leadership discussions and strategic planning while maintaining a close operating rhythm with global leadership. In this role you will ensure our AI initiatives are integrated into the heart of the product lifecycle while serving as a credible senior partner for the technical leads. You will be responsible for shaping the future of how our organization builds and scales intelligent systems that handle sensitive healthcare data with precision and scalability.
Scope & Team
This role owns two teams within the Data & AI group:
AI Team: Builds patient-facing AI capabilities, NLP models, and clinical decision-support features.
ML Team: Owns production ML pipelines, model monitoring, and machine learning infrastructure.
Beyond direct team management, this role carries significant cross-organizational strategic responsibility:
Product interface: Bridge the gap between PMs and DS/AI team leads. The TLs are invested at the project level - this Director operates at the strategic level, ensuring AI/ML priorities are shaped early in the product lifecycle, not bolted on after. Be a force of change in how Product and DS/AI collaborate.
Engineering interface: Work peer-to-peer with engineering directors on shared execution dependencies, technical architecture decisions, and resource planning. Own this relationship at the Director level rather than leaving it to individual TLs.
Platform interface: Partner with Platform on infrastructure, data pipelines, and tooling strategy that underpins ML/AI delivery. Ensure DS/AI needs are represented in platform roadmap decisions.

This is a dual-track role combining a forward-looking mandate to identify, implement, and maintain AI tools that improve how we work, with day-to-day IT management. You'll be the internal point of contact for all things technology, and a key partner to leadership on compliance initiatives.
Responsibilities
Gen-AI & Intelligent Tools
This is where you'll make your biggest impact. we are actively embedding AI into how we operate internally, and this person will be the engine behind that transformation. You won't just support tools, you'll shape the way the company works.
Scout and evaluate the latest generative AI tools (LLMs, agents, workflow automation, AI-assisted ops) and build a clear view of what's worth adopting
Own the end-to-end rollout of AI tools, from business case and procurement through integration, employee enablement, and change management
Design AI-powered workflows that eliminate manual work and unlock capacity across teams (automated reporting, intelligent document handling, AI-assisted customer interactions, and more)
Build internal expertise by running hands-on sessions, creating guides, and helping colleagues get real value out of the tools
Monitor adoption, performance, and ROI of deployed AI tools, and iterate continuously
Stay on the front edge of the gen-AI landscape, new model releases, emerging agent frameworks, evolving enterprise use cases, and translate what's relevant into action at our company
IT Management
Own and manage our company's internal IT infrastructure, including hardware, software, user access, and helpdesk support
Onboard and offboard employees, provisioning accounts, devices, and access permissions
Manage SaaS tools and vendor relationships, ensuring licenses, renewals, and integrations are up to date
Maintain IT documentation, asset registers, and internal knowledge bases
Security & Compliance
Maintain ISO certification requirements by tracking audit schedules, required documentation, coordinating departmental evidence collection, and filing certificates and reports centrally
Drive SOC 2 audit readiness by maintaining the evidence library (access reviews, training records, change management logs), tracking all controls and their status, and scheduling and supporting auditor visits
Vet new suppliers before engagement by collecting security documentation, ensuring NDAs are signed, and keeping the vendor register up to date.

We are seeking a Product Manager to lead AI initiatives across our platform and go-to-market engine. You will embed intelligent capabilities into our core products - across payroll, payments, and workforce operations - and build AI-powered revenue engines that make our sales and GTM machine faster, smarter, and more scalable. You will bring a strong understanding of sales processes, revenue operations, and commercial strategy alongside your technical skills. You will collaborate closely with engineering, RevOps, sales, and customer success to deliver AI products with measurable business impact.

You will:
Own the product roadmap for AI-powered capabilities across ourplatform and AI revenue engines that serve Sales, RevOps, and leadership.
Identify high-impact opportunities to embed AI into our products - smarter automation, intelligent decision support, and enhanced customer experiences.
Build and ship AI-powered sales intelligence, collateral generation, and deal acceleration products.
Lead the product lifecycle from ideation and requirements gathering to development, launch, and continuous iteration.
Map sales workflows end-to-end and identify where AI removes bottlenecks and replaces legacy tools with scalable alternatives.
Drive adoption and prove ROI - use analytics, KPIs, and user research to evaluate product performance and inform prioritization.
Partner with engineering, design, operations, and sales teams to deliver high-quality products on time and at scale.
Engage directly with customers and internal stakeholders to deeply understand their needs and prioritize features that deliver measurable value.

We are looking for a visionary and execution-oriented AI Product Manager to shape the unified agentic experience across the Bob platform, redefining how users interact with software, complete work, and discover value through AI.
This role owns the AI product experience and agentic behavior layer of the platform, ensuring AI capabilities translate into intuitive, trusted, and high-impact workflows for customers.
Rather than simply adding AI features into existing workflows, your mission is to help define an AI-first product experience where agents, automation, orchestration, and conversational interactions become a natural part of how work gets done across HR, Finance, Payroll, and beyond.
Youll work across product, engineering, design, data, and domain teams to invent new interaction patterns, drive adoption of AI-powered workflows, and help shape the future operating model of the Bob platform.
This role is ideal for a product leader who is deeply curious about AI, actively uses AI tools in their daily work, and is excited about rethinking product experiences from first principles.
Job responsibilities
Lead the evolution and adoption of the unified agentic experience across Bob
Define AI-first interaction models, workflows, and user journeys across the platform
Shape how users discover, trust, adopt, and repeatedly engage with AI-powered workflows and agents
Drive behavioral change toward AI-first ways of working across the platform
Identify high-value cross-domain workflows and opportunities for automation
Lead discovery and experimentation around emerging AI capabilities, workflows, and interaction paradigms
Partner closely with design and engineering to invent intuitive and high-utility AI experiences
Define how agents reason, orchestrate capabilities, and execute meaningful workflows across domains
Translate advanced AI capabilities into practical and valuable customer outcomes
Use product analytics, behavioral insights, and customer feedback to continuously improve the experience
Collaborate closely with platform teams to ensure AI capabilities can effectively power customer-facing value
Help shape the long-term vision of AI across the Bob platform.

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.

Required GTM Al Product Manager
About the Role
The GTM AI Product Manager (sitting within RevOps - GTM) translates executive GTM strategy into operational AI solutions, ensuring high-impact initiatives, spanning Marketing, Sales, Partners, and Customer Growth, are successfully defined, scoped, structured, incubated, and brought to life.
Acting as the architect of these initiatives, you translate GTM leadership priorities and target business KPIs into structured execution, connecting business requirements with tech delivery, serving as a strategic bridge and an agile incubator, facilitating rapid prototyping and validation of new workflows.
Job responsibilities:
Responsibilities: Discovery, Architecture & Incubation
Requirement Gathering & Scope Definition: Partner with GTM leadership to gather complex business requirements. Define clear project objectives, use cases, and success metrics (KPIs) while ensuring initiatives stay aligned with top-down priorities.
Functional Architecture: Translate leadership vision into structured operational blueprints and business process flows that define how AI solutions will function within the GTM engine.
Feasibility & Analysis: Lead "buy vs. build" assessments, evaluating market solutions against internal development capabilities to ensure the best path for the business.
V1 Incubation: Build and validate initial prototypes (V1s) using low-code/no-code and agentic platforms to prove value and de-risk the project before scaling.
Scope Integrity: Maintain clarity of scope throughout the execution lifecycle, preventing "project drift" and ensuring technical execution meets the original business intent.
2. Cross-Functional Orchestration
Partnerships: Serve as the primary functional partner for the tech teams to bring AI solutions to production.
Requirement Synthesis: Translate gathered business needs into structured tech requirements, blueprints, and roadmap alignments.
Coordinate implementation: timelines and iteration cycles, ensuring that the final tech delivery matches the functional design and business methodologies.
3. Rollout & Field Excellence
Adoption Planning: Partner with RevOps and GTM leadership to design rollout strategies, communication plans, and enablement materials.

We're looking for a technical Product Manager to join AI product team and own the roadmap for Klaudia - our autonomous AI SRE agent. You'll work directly with customers, solution architects and R&D leads to define how Klaudia senses, investigates, decides, acts, and validates across availability issues and reliability risks. It's a role for someone who can translate complex AI/infra tradeoffs into a sharp product strategy.

What you will do

Work on the product roadmap execution, aligned with mission and customer needs
Collaborate with engineering and design teams to drive AI to success
Conduct thorough market research, close work with sales teams and customer calls to identify trends, customer pain points, and opportunities for AI integrations
Effectively communicate product vision, progress, and outcomes to internal stakeholders and customers
Define KPIs around AI capabilities and utilize data-driven insights to make decisions and product iterations

the role will establish scalable processes, standard pod structures, and PI planning in line with R&D leaderships vision to improve throughput and efficiency. The position will act as a thought leader on agile best practices, supporting R&D leaders through training, documentation, and artefacts, while also ensuring strong visibility into R&D performance through reporting and key metrics such as cycle time, velocity, and throughput. In addition, the role will identify inefficiencies and operational risks, lead mitigation and improvement initiatives, support governance forums, and communicate progress to senior stakeholders, including R&D leadership and senior leadership stakeholders.

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Key Responsibilities:​
Drive the implementation and scaling of SAFe methodologies across R&D, embedding Agile ways of working to improve delivery efficiency and consistency​
Provide thought leadership on Agile best practices, influencing R&D leaders and supporting adoption through training and documentation​
Track and report on key development KPIs (e.g., cycle time, lead time, on-time delivery), identifying inefficiencies and driving continuous improvement​
Design and support governance forums, ensuring clear tracking of actions, progress reporting, and effective communication with senior stakeholders​
Risks and design governance forums, ensuring effective mitigation, progress tracking, and clear communication with senior stakeholders​

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​

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. You'll own the product vision and roadmap for our ompany's data platform - the energy intelligence operating system spanning device integration, data infrastructure, AI/ML services, and third-party Developer enablement. This is a senior IC-to-lead role with direct influence on architecture decisions, partnership strategy, and organizational build-out. What You'll Do:
* Own the platform product roadmap across platform core layers
* Define and prioritize shared/core services with clear ownership, versioning, and SLAs
* Drive the semantic/ data layer strategy that enables internal products and external agents to consume energy intelligence
* Partner with engineering leadership on DevOps model, agentic dev lifecycle adoption, and platform reliability
* Work cross-functionally with business development to translate partner requirements into platform capabilities
Country:
Israel
City:
Herzliya