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.

As a Senior Product Manager at our company, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production.
Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding.
Partner closely with data scientists from problem framing through experimentation, model validation, and productization, youll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact
Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability
Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on
Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user
Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements
Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers
Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error)
Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products
Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap
Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs
Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features
Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes.

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 Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

Youre welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include:

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

We're looking for a Product Manager to own the data and knowledge component 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:
Architect the Data Fabric: Own the data layer, defining schemas and cross relationships across IAM, network, and security domains to power agent capabilities.
Lead the Knowledge Layer: Own how policies and operating procedures are captured, structured, and updated so agents apply them reliably.
Build the Customer Experience: Partner with design and engineering to build user interfaces for data exploration, search, reporting, and connection health.
Scale Data Fabric and Knowledge as a Platform: Own the internal interface between data layers and other product components to feed agent visibility and decision making.
Drive Field to Roadmap Feedback Loops: Partner closely with customer facing and POC teams to turn real world field signals into scalable product features.

We are looking for a mission-driven Product Group Lead to own Acquire, our core product. We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the Product Group Lead for Acquire, you will be accountable for everything Acquire: strategy, roadmap, execution, and business outcomes. Acquire turns our predictive models into the conversion signals that drive smarter bidding on Google, Meta, and other channels, which means you will be operating at the intersection of predictive modeling, ad platform mechanics, and the daily reality of performance marketing teams.
Reporting directly to the CTO, you will lead a group of three Product Managers, setting direction, raising the bar on product craft, and growing them as practitioners. This is a player-coach role: you will own the group's strategy and its people, while staying close enough to the product to make sharp calls on scope, model behavior, and customer trade-offs yourself.
A defining part of this role is your partnership with Operations. Today, a lot of what makes Acquire work is carried by our Operations team working alongside our AI engine. You will embed with them, understand their day-to-day in real detail, and productize it: turning manual and repetitive work into scalable, agent-driven capabilities so we can scale even further.

Were looking for an AI Product Manager to join our product team and help shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.
Own the product lifecycle for one or more product areas - from ideation and requirements through delivery and go-to-market enablement
Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions
Work closely with R&D teams on a daily basis - participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements
Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption
Define and validate product opportunities through customer research, data analysis, and competitive intelligence
Translate complex technical concepts into clear product requirements and crisp user stories
Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well
Establish and track success metrics, running experiments and iterating based on evidence
Be the voice of the developer - obsessively understanding how developers work, what they struggle with, and where AI can genuinely help.

What you'll be doing
Drive the detection product domain: Bring deep expertise in SecOps engineering across SIEM, data pipelines, and SOAR, and help the product team define where the product should excel. Develop a strong understanding of the day-to-day work of SecOps engineers and the challenges they face.
Turn expertise into product insight: Conduct deep, hands-on research across real security environments, SecOps engineering practices, data, and tooling. Combine customer feedback with your own experience and the knowledge of the broader team to identify meaningful problems, opportunities, and product directions.
Shape and execute the roadmap: Translate product insights into a focused roadmap aligned with company strategy and customer needs. Partner with the product and engineering teams to prioritize initiatives, make tradeoffs, define outcomes, and drive execution from discovery through delivery.
Turn problems into product direction: Translate ambiguous problems into clear product requirements and actionable plans. Work closely with engineering, design, and security experts to ensure complex technical problems are translated into products that are useful, intuitive, and technically sound.
Shape and evaluate AI agent capabilities: Define what our companys AI agent should be capable of doing as a SecOps engineer, what good looks like, and where it must be trusted or constrained. Develop evaluation frameworks, scenarios, and ground truth to measure and continuously improve agent performance.
Own product quality and outcomes: Maintain a deep understanding of how the product is used in real-world security operations. Validate assumptions, identify gaps, and use customer feedback, product data, and operational experience to continuously improve the product and its direction.

Were looking for a Product Management Team Leader to lead our Marketplace product team - the engine behind the on-demand revolution in transportation and new verticals across all our markets. This is a player-coach role: youll manage and grow a team of product managers while owning a core product area hands-on, taking it from vision to reality.
The Marketplace team is responsible for:
Building and maintaining the platform for drivers and couriers to work with us
Developing dynamic, ML-driven marketplace solutions for matching, pricing, earnings, and broader optimisation.
Integrating external supply partners (other transportation companies)
And much more. Our focus is data-driven solutions that grow and optimise the marketplace while enhancing driver experience and earnings.
What youll do:
Lead a team of product managers - set direction, coach and develop them, and raise the bar on product craft across the Marketplace group.
Own a product roadmap end-to-end - take a core marketplace area from vision to execution and delivery, while staying hands-on with the hardest problems yourself.
Generate comprehensive insights through data, market, and user research to guide product vision, with a specific focus on marketplace dynamics in ride-hailing and delivery.
Lead products and features throughout their entire lifecycle - from concept and detailed requirements to execution and successful rollout - emphasising marketplace efficiency and a great user experience for both riders and suppliers.
Collaborate closely with Engineering, Data Analytics, Customer Experience, Marketing, and Operations to build best-in-class products and ensure successful market rollout in competitive ride-hailing and delivery markets.
Define metrics, analyse feature performance through qualitative and quantitative analysis, and iterate until objectives are met - with a keen eye on marketplace KPIs.
Understand our strategic position vs. the competition and work day in, day out to improve it.
Actively contribute to the overall product roadmap, bringing a deep understanding of marketplace operations and the competitive landscape.
Champion our vision, priorities, challenges, and opportunities with teams across our regions.
Leverage AI tools to accelerate product discovery, requirements definition, analysis, and day-to-day product execution.

We're looking for an exceptional Senior Product Manager to help shape the future of our company's platform. You'll own strategic product areas end-to-end, partnering closely with Engineering, Design, Security Research, Data Science, and Go-to-Market teams to solve complex customer problems and bring innovative products to market.
This is a highly technical and strategic role where you'll work directly with enterprise customers, influence company priorities, and translate emerging technologies, customer insights, and market trends into product strategy. As an early member of the product organization, you'll have significant ownership and the opportunity to shape not only what we build, but how we build it.
You'll spend time with customers, dive deep into technical challenges alongside world-class engineers and researchers, and turn ambiguity into clear product direction. The technology landscape is evolving rapidly- with AI, modern applications, and new attack surfaces constantly reshaping enterprise security- and you'll help ensure our company stays ahead of what's next.
What You'll Do
Own the strategy, roadmap, and execution for key product areas across the company platform.
Define product vision and long-term direction while balancing customer needs, technical complexity, and business priorities.
Lead cross-functional teams through the full product lifecycle, from discovery and definition to launch and iteration.
Partner closely with Engineering, Design, Security Research, and Data Science to build innovative, customer-centric products.
Engage directly with enterprise customers to deeply understand their challenges and validate product direction.
Translate customer insights, product analytics, competitive intelligence, and emerging technologies into product strategy.
Prioritize opportunities, make informed tradeoffs, and drive alignment across teams.
Work closely with Product Marketing, Sales, Customer Success, and Leadership to successfully launch and scale new capabilities.
Define success metrics, measure outcomes, and continuously improve the customer experience.
Communicate product strategy, priorities, and progress with clarity across the organization.