דרושים » מוצר » Product Manager, Platform

We are looking for a Product Manager, OSS Network Domain to own the network-and-service semantic core of ' next-generation OSS platform.
This is the role for a builder who already thinks in routers, interfaces, services, and network state - someone who can define what an OSS object means so that automation and AI can safely act on it. You will own one networking-heavy domain area of the platform (for example inventory & resource management, service design & planning, fulfillment, or assurance) and define the domain model, semantics, and product behavior that everything else is built on.
This is a builder PM role, not a requirements-forwarding role. The goal is to turn messy operator and network reality into reusable domain capabilities that R&D can build - not a custom data model or workflow per customer.
Responsibilities:
Own the product vision, strategy, roadmap, and epics for your OSS domain area.
Define the domain model for your area - services, resources, physical/logical inventory, topology, dependencies, state (planned / intended / discovered / active / degraded / stale), intent, policy, and network/diagnostic/remediation action semantics as relevant to your area.
Define source-of-truth and reconciliation behavior: which system is authoritative for which object and state, how freshness and confidence are represented, and what happens when data is stale or systems disagree.
Translate operator workflows and network reality into reusable domain primitives - resisting customer-specific schemas, models, and forks.
Partner with the OSS Platform and workflow engine PMs so that workflow blocks, AI experiences, and integrations are grounded in correct service, resource, topology, and action semantics.
Work closely with R&D and architects to define product behavior, data models, API/contract shapes, state transitions, edge cases, failure modes, acceptance criteria, and MVP tradeoffs - leaving implementation decisions to architects.
Ground the platform's AI and automation in domain truth: define how impact, root cause, and service context are computed and represented so AI output is trustworthy.
Use modern AI tools day-to-day to accelerate discovery, PRD and epic writing, competitive analysis, and modeling.

We are looking for a Principal Product Manager to join our team. This is a hybrid capacity in our Israel/Tel Aviv Office role, reporting to the Senior Director, Product Management in the Security Operations Platform Product Management department. Join our data fabric and secops platform team, work in the dashboards, reporting and measurement product areas. Lead the product effort for platform reporting and dashboarding, as well as advanced semantic capabilities such as calculated dimensions, measurements, aggregations and custom KPI capabilities, enabling best-in-market product capabilities and UX that will be used by our security operations applications offerings and personas.

What youll do (Role Expectations)

Lead product discovery by deeply understanding customer problems, business goals, and operational constraints across reporting and dashboarding products that serve multiple security operations use cases

Define the product vision and roadmap for AI-powered, simple platform reporting and dashboarding capabilities from discovery through planning, UX, documentation, customer validation, and launch

Work day-to-day with engineering to prioritize backlogs, clarify scope, and ensure high-quality execution

Collaborate with applications product managers, and customers to facilitate feedback and success across multiple personas and use cases, partnering with go-to-market, sales, and customer success teams to support pilots, launches, and customer adoption

Measure product success using adoption, usage, customer value, and business outcome metrics

We are looking for an experienced Senior Product Manager to own our Builder Experience domain - a core part of how security teams design, build, and deploy automations. As AI fundamentally changes how security operations work, this role sits at the center of that shift.

This role requires genuine product craft - the ability to see what security teams actually struggle with and shape tools that feel intuitive and powerful - alongside frontier AI product thinking: defining how a conversational AI should behave, where its limits are, how it earns trust, and how it sharpens with every interaction.

What Youll Be Doing:
Own the end-to-end builder experience - from understanding where security teams get stuck to shipping flows that feel intuitive and powerful.
Care about how the product looks and feels. Partner closely with Design to turn ambiguity into clear, usable flows.
Drive our conversational AI product forward as a first-class part of the platform.
Own how we evaluate the AI experience: define what "good" means, how we measure quality, and how we improve it continuously.
Perform customer research and hands-on deep-dives to understand how people build and where they get stuck.
Analyze usage patterns and feedback to spot signal and translate it into actionable engineering requirements.
Make critical decisions on trade-offs across experience, capability, and technical design to meet business objectives.
Work closely with engineering to define, develop, and launch new capabilities.

We are seeking an experienced product manager to join Dashs core product team. Youll have significant influence over both product direction and execution and lead strategic product initiatives across the Dash platform. This is a highly impactful role at the intersection of AI, cybersecurity, and enterprise software. Youll work closely with customers, and a high paced team of security researchers, engineers, and company leadership to define product strategy, identify market opportunities, and deliver products that solve real customer problems. You will help define the field of Agentic Security.
As an early product team member, youll have significant influence over both product direction and execution.
Responsibilities:
Own product strategy, roadmap, and execution for key areas of the Dash platform
Deeply understand customer needs through direct conversations, feedback loops, and market research and translate them into actionable workflows
Translate complex cybersecurity and AI concepts into intuitive product experiences
Partner closely with Engineering, Security Research, Design, and GTM teams to deliver high-impact products
Define product requirements, success metrics, and business outcomes
Prioritize initiatives based on customer value, business impact, and technical feasibility
Drive product launches and support go-to-market efforts alongside Product Marketing and Sales
Analyze product usage, customer feedback, and market trends to continuously improve the product
Key player in Dashs founding team, helping shape Dashs long-term product vision as we scale

Required Product Manager - AI Platform
About the role:
We've taken a platform-first, builder mindset from day one, developing the modular building blocks we call pillars. Our users are exceptional engineers who continuously build creative and unexpected solutions with our platform. Being a PM here means embracing that creative tension while staying relentlessly focused on where the platform needs to go next.
As a PM, you'll own a pillar end-to-end alongside your team of engineers and designers. You'll build and evolve it as a standalone value stream and as a connected part of the broader platform. PMs are full picture owners: they shape the story of their pillar from market positioning to technical enablement, defining success not just by what gets shipped, but by the measurable impact it delivers.
What you'll do:
Define what to build and why. Go deep with customers, analyze usage data, and research the competitive landscape. Bring that view to your team, build a sharp perspective on what's worth building next, and communicate the reasoning to engineering, leadership, and the market.
Shape experiences engineers choose to use. Our developer experience spans the entire ecosystem across the UI, API, CLI, and daily chat and coding interfaces. Work closely with design and engineering to make each surface deliberate, from the first wireframe through launch.
Drive cross-functional impact. PMs don't hand off and wait. You work across engineering, design, marketing, sales, and CS throughout the full product cycle, accountable for picking the right problem, the solution built, and whether the launch lands.
Build for agents and developers. We are the context and action layer for both. Shape your domain so agents can act on it reliably and developers can navigate it intuitively. Understand the tradeoffs in how data, APIs, and interfaces serve both. Separate the signal from the hype, and use that view to sharpen your roadmap.
Measure what matters. Define success metrics before you ship. Track adoption, analyze what's landing, and iterate until the outcome is real.

we are looking for a Product Manager .
This is a rare opportunity to:

Have a direct impact on AI performance and GPU efficiency at scale
Combine deep technical thinking with product ownership
Own product decisions that influence real-world system behavior
As a Product Manager, you will define how next-generation AI workloads interact with high-performance storage and networking systems.
This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.
Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.
What You'll Do:
Define and execute product strategy for platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges

We're looking for a Product Manager to own the operational efficiency aspect of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Define human and agent interaction models: Shape how users collaborate with AI agents, from user initiated queries and agent driven outreach to seamless side by side execution.
Lead agentic ticket resolution and IAM automation: Own the end to end product strategy for identity tasks, including provisioning and deprovisioning, entitlement changes, plus joiner, mover, and leaver workflows.
Own the agentic execution layer: Spec the core product rails for executing actions in customer environments, including human approval flows, risk controls, and confidence building mechanisms.
Drive field to roadmap feedback loops: Partner closely with customer facing and POC teams to translate real world edge cases and customer insights into scalable roadmap features.

We're looking for a Product Manager to own Runtime Domain - the engine that powers vulnerability intelligence, attack detection, sensor capabilities, and our application DNA (appDNA) model. This is the technical core of the product, where security research, runtime telemetry, and product judgment meet.
product management is an engineering discipline. You'll be expected to go deep on the technology, hold your ground in technical debate, and ship - not just write specs.
This role reports to the Senior Director of Product.
What you'll do:
Own the roadmap for detection, vulnerability intelligence, and sensor capabilities. Decide what we build, kill, and punt.
Partner with security research daily - turn raw findings, new CVE classes, and exploitation patterns into shippable product.
Write specs engineers respect. Argue about data models and detection quality, not pixels.
Run design partnerships with enterprise security teams. Sit with them, watch them work, come back with conviction.
Run discovery sessions with customers to maximize the value from the platform.
Use AI tooling as a force multiplier in your own workflow - prototyping, evals, internal agents. Not as a feature you slap on.

We are looking for an experienced and highly capable Product Manager to join our product team and take a leading role across our Claims Management System (CMS) and Clive AI, our next-generation, agentic AI claims platform. This role sits at the heart of our mission: transforming claims handling with a modern, end-to-end claims platform and intelligent, AI-first automation.

The ideal candidate brings a proven track record of driving successful B2B products, deep domain expertise in insurance - especially claims - and hands-on experience building or shipping AI-driven and agentic AI capabilities. Success in this role means moving fluently between core claims workflows in the CMS and the AI capabilities that increasingly power them.

What You'll Do

Lead key product areas that span both our CMS and Clive AI - owning specific parts of each product and playing a central role in redefining claims operations through robust core workflows and autonomous, AI-first agents.
Work directly with customers, users, and internal/external stakeholders to understand, map, and prioritize needs across the full claims lifecycle.
Own the product roadmap for your areas end-to-end - defining priorities, solutions, and success metrics while managing the full product lifecycle, from ideation to production and iteration, in close coordination with the R&D and PMs leading adjacent areas.
Identify opportunities for expanding customer value, introducing new capabilities for deeper automation while continuing to strengthen the core claims platform.
Partner closely with engineering, design, and delivery teams to ensure high-quality execution and seamless cross-functional alignment.
Document and communicate product value and functionality clearly to prospects, customers, and internal stakeholders, becoming the subject-matter expert for your product area.

We are standing up a new, dedicated Cloud Risk domain inside our company Cloud Security, and we are looking for a Product Manager to own it end-to-end.
Cross-product impact. The capabilities you build are the risk infrastructure that every other domain in the product runs on. Every customer and nearly every workflow touches Cloud Risk. When the platform tells a security team, fix this first, that is your domain.
Full ownership. This is a true builders role. You will define the domain from the ground up with your own dedicated engineering team and a dedicated security researcher, bringing real innovation to how cloud risk is scored and prioritized, and turning a hard problem into the risk engine the entire product depends on.
Your Opportunity:
Own the vision, strategy, and roadmap for Cloud Risk domain, and shape it into a foundation that the whole product can build on.
Define how cloud risk is scored, prioritized, and explained across severity, exploitability, exposure, identity, and business context, so security teams trust what the platform surfaces.
Work side by side with your dedicated dev team, UX Designer, and security researcher to design and ship the risk model, the top risks experience, and the shared services other domains consume.
Translate high-volume, messy security findings into a clear, trustworthy what to fix first experience that cuts noise and speeds remediation.
Partner closely with the platform PMs who own CSPM, CIEM, CWP, DSPM, and more, because your domain powers all of theirs.
Align with our company One PMs to connect cloud risk with our company's broader exposure view, so risk is scored and prioritized consistently across the platform
Engage directly with customers, prospects, and the field to validate the risk model against real-world cloud environments and pressure-test prioritization.
Set success metrics, write crisp requirements, prioritize ruthlessly, and ship incrementally to learn fast.