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our company's product does the work a SecOps engineer does: it investigates coverage gaps against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That means product decisions here are SecOps engineering decisions, and they need someone who has actually done the job. You'll join our company's product team and own the detection engineering surface of the product - what good coverage analysis looks like, what correct detection content looks like, what a security team should be able to trust the product to do on its own. we are defining a category around Security Operations Resilience, and the fastest way to get that right is to be genuinely credible with the SecOps engineers we're building for.
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.

We are looking for a Senior Support Engineer to join our Israel-based support team. This role is critical to maintaining excellent service for our English and Hebrew-speaking customers, handling complex technical and customer-facing issues independently, and helping the team adapt to the next generation of AI-enabled support workflows.
The ideal candidate is a strong hands-on problem solver, an excellent communicator in Hebrew and English, and a senior team player who can elevate team quality, partner closely with leadership, and contribute to improving our internal tools, AI-based workflows, and support processes.
This is a hands-on senior individual contributor role with broad impact. In addition to resolving complex customer issues end to end, this person will help shape how support operates in an evolving environment that increasingly includes automation and AI-assisted workflows and tools.
Why this role matters:
Israel is a critical support hub for our business. Some of our customers require high-quality support in Hebrew, especially in complex or sensitive cases where local language, context, and live communication are essential.
At the same time, the support role is becoming more complex. AI-based tools and automation are becoming part of daily work, raising the bar for ownership, judgment, adaptability, and cross-functional collaboration. We need a senior team member who can thrive in this environment, help the team adopt new ways of working, and contribute to improving the tools and processes we use.
What youll do:
Own complex technical and product-related support cases from investigation through resolution.
Provide high-quality support to customers in Hebrew and English across written and live interactions.
Handle ambiguous, high-impact, or cross-functional issues with strong judgment and minimal supervision.
Act as a senior point of contact for escalations, sensitive customer situations, and priority cases.
Mentor teammates by sharing knowledge, setting a high bar for case handling, and helping improve team practices.
Use AI-based tools and internal tools effectively in day-to-day work to improve speed, quality, and consistency.
Help to define, maintain and improve support agents, AI-assisted tools, bots, workflows, automations and documentation to improve support effectiveness.
Identify opportunities to reduce friction, improve self-service, and optimize internal support flows.
Collaborate with Product, R&D, Customer Success, TPE, and other internal stakeholders to resolve issues and improve the customer experience.

our company's product is built around an AI agent that security analysts and detection engineers work with directly. It investigates coverage questions against live enterprise security data, authors and tests detection logic, and tunes noisy alerting.
That agent is already in production with enterprise design partners. Now we need to make it dependable and scalable enough for GA.
You will own that evolution: the agent architecture, its evaluation and quality system, and the production engineering around it. This is a hands-on senior IC role with real architectural authority - you set the technical direction and you write the code.
The agent operates inside customer security environments, where a wrong action can become a customer incident. Correctness, isolation, observability, and evaluation are not polish. They are the product.
What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.

our company's platform runs inside the security stacks of enterprise customers, processing live detection and telemetry data from SIEM, EDR, and SOAR systems at real scale. Until now, infrastructure has been built and carried by the founding engineering team alongside everything else. You will be the first dedicated owner of it. That means designing our company's cloud foundation across GCP and AWS, building the deployment, scaling, and observability layers from the ground up, and setting the standards the rest of engineering builds on. It also means holding a bar that most startups can defer and our company cannot: we sell to security teams who audit their vendors seriously, so how we run our own infrastructure is part of how we win. This is a hands-on senior role with real architectural authority, and as engineering grows you become the person others learn cloud and infrastructure from.
What you'll be doing
Multi-cloud architecture: Own the design and implementation of our company's multi-cloud architecture across GCP and AWS, including the cross-cloud standards, boundaries, and tradeoffs that keep two providers from becoming twice the complexity.
Infrastructure as code: Build and maintain the entire environment in Terraform, so infrastructure is reviewable, reproducible, and scales without a person in the loop.
Deployment pipelines from scratch: Create the CI/CD foundation that lets a small team ship quickly and safely, with the testing, gating, and rollback paths that make fast releases boring rather than risky.
Kubernetes at data scale: Run and scale the Kubernetes and containerized workloads behind our company's security data processing, where volume, latency, and cost pressure all show up at once.
Security of our own stack: Own identity, access, secrets, network boundaries, and infrastructure hardening to a standard that holds up under customer security review.
Reliability and visibility: Build the logging, monitoring, and alerting layer that tells us something is wrong before a customer does, and make on-call sustainable as the system grows.
Technical direction: Partner directly with the founding engineering team on architectural decisions, and raise the infrastructure and cloud fluency of every engineer who joins after you.

We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for our next-generation data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for our next-generation AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of our DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across our next-generation data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.

We're looking for a hands-on Software Team Leader to lead the Engagement team, owning the architecture, delivery, and production health of the OneLink serving path.
Our stack is deliberately polyglot: Clojure, Go, Java, and Node, with the persistence layer chosen per problem across Kafka, Redis/ElastiCache, PostgreSQL, DynamoDB, and MongoDB. Everything runs on AWS (Kubernetes, multi-region), behind CDNs at the edge
What Youll Do:
Lead, mentor, and grow a team of senior backend engineers, covering hiring, career growth, and honest feedback, while staying personally hands-on in architecture, design reviews, and code.
Own the end-to-end design of the OneLink serving path.
Own the edge layer together with Infra, including CDN strategy across branded and non-branded domain and edge compute.
Own production, including SLOs, capacity, and cost efficiency at scale, and take part in the on-call rotation.
Partner with Product, Data, and Infra to turn ambiguous requirements into a sequenced technical plan.

We're looking for a Senior Backend Engineer who enjoys turning complex statistical and algorithmic logic into scalable, production-grade systems. You'll build and optimize the services that power our experimentation engine, ensure the reliability of the pipelines behind it, and work closely with data scientists and product managers to bring new capabilities to life.
What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Solve unique and yet unsolved industry problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.

We are looking for a brilliant Data Engineer- an independent, logical thinker who enjoys solving complex problems and building scalable data solutions. You will own and evolve the data foundations that power Product, Finance, Operations, and Business teams. Working closely with diverse stakeholders, Analysts, and R&D teams, you will serve as a technical partner, translating complex business challenges into robust data models, pipelines, and infrastructure. You should be able to translate business and data requirements into scalable data pipelines and data models, integrating multiple internal and external data sources using the most appropriate technologies. Beyond building pipelines, you will improve data quality, modernize existing data assets, automate manual workflows, and help create a clean, reliable, and scalable data ecosystem that supports the company's growth.
Roles and Responsibilities:
Design and build end-to-end data pipelines - From defining source structures and integrating APIs to delivering clean, trusted datasets that enable analytics, reporting, and operational workflows.
Translate business needs into scalable data solutions based on business priorities and the product roadmap, understand technical requirements, and deliver purpose-built pipelines and tools.
Act as the technical partner for Product, Finance, Operations, and R&D teams, translating business needs into scalable data models, pipelines, and internal tools while ensuring reliable, trusted data across the organization.
Write high-quality, maintainable code, while following best practices and leveraging modern data tooling and CI/CD principles.
Drive data quality and reliability - Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability across the data platform.

We are looking for a seasoned Product Partnerships Manager in Israel to lead our efforts in improving measurement integrity, partner signal quality, and exploring joint technological offerings with strategic partners.
You will interact with top-tier partners (ad networks and martech platforms) and work cross-functionally with internal Partnerships, Product, R&D, and marketing teams to advance mutual projects and present the partner angle of every product-related initiative.
The Product Partnerships team operates at the intersection of product, partners, and ecosystem strategy.
Our mission is to extend our measurement authority across the ad ecosystem by improving partners data integrity and signal quality, and by broadening and deepening partners integrations with our features.
The Product Partnerships Manager role is perfect for someone with a technical/product orientation, and a strong knowledge of the ad tech ecosystem, who loves solving problems and creating win-win situations with partners.
What you'll do:
Own strategic product collaboration with key platforms across the advertising and marketing ecosystem (e.g. ad networks, DSPs, analytics and engagement platforms)
Unlock obstacles to partner integrations and capabilities by working closely with Product and R&D teams to define, build, and improve scalable solutions
Ensure high-quality data flows and measurement integrity, acting as a subject matter expert towards partners on attribution, data accuracy, and signal quality
Identify and execute opportunities to enhance partner value, including improving performance, expanding use cases, and increasing partner adoption
Support revenue growth through partnerships by enabling deals, removing technical blockers, and aligning partner capabilities with customer needs
Act as the voice of partners internally, influencing product roadmap, prioritization, and go-to-market strategies
Lead cross-functional initiatives across Product, R&D, Sales, and Customer Success to deliver impactful partner solutions
Monitor ecosystem trends and partner developments, identifying risks, opportunities, and competitive dynamics
Drive operational excellence and scalability, improving processes and leveraging AI and automation where possible
Operate self-sufficently to pull and analyze data to understand impact of product changes on partners and identify potential issues
Collaborate with marketing on communication to partners about product updates and changes.

We are looking for a talented Senior Software infrastructure and tools Engineer to join the Data Processing Unit (DPU) SW Group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with our SDK development and gain an understanding of our products and technologies.

What youll be doing:

Crafting efficiency and usability improvements across our proprietary products that will help streamline various release pipelines and processes across us.

Definition and development of SDKs to be used for DPU SW development.

POC of new technologies that require additional development/integration efforts.

Creating and maintaining build system for complex SW products.

Developing tools using our various proprietary and other cutting-edge technologies.

Collaborate with team members, Architects, design, QA teams, and verification.

We're hiring a Partner Development Manager to run three revenue programs that sit inside our Partnership org: the AWS partnership, the Success Fee referral program, and the Credit Program.
As a Partner Development Manager, you will serve as a crucial bridge within the organization, driving growth and strategic execution for three critical initiatives by collaborating seamlessly with the sales, partnership, and RevOps teams, as well as our external partners. This includes driving our AWS partnership through end-to-end relationship management, scaling the credit program to drive channel growth, and overseeing the global success fee program to maximize referral opportunities and optimize the business model.
What you'll own:
AWS Partnership
Own our AWS co-sell motion helping Sales and PDMs decide when a deal benefits from AWS insight or the Marketplace, and driving those deals to close.
Position the Marketplace as an early, proactive negotiating asset to expand deal size, extend deal length, and win price-sensitive or competitive opportunities.
Partner day-to-day with our AWS Partner Manager to advance the company-AWS Strategic Collaboration Agreement (SCA), and manage AWS Account Managers, PDMs, and regional teams to unlock account insight and advocacy.
Enable our sales teams to spot co-sell early and apply best practices, and educate AWS reps on who we are and why to advocate for us.
Own the internal Marketplace process with Rev Ops and Deal Desk - submission, approvals, private offers, and billing - and steward partner-funding programs such as MPOPP.
Success Fee Program
Own the Success Fee referral program end-to-end: partner qualification, referral validation, approval , and payout as the final decision-maker on what is and isn't accepted.
Act as the program's gatekeeper: validate referrals against a clear attribution standard, reject opportunistic or ineligible requests, and prevent revenue cannibalization and after-the-fact credit.
Run the prioritized-accounts motion, working with partners and sales leaders on intentional account mapping that unlocks higher-value, higher-commitment referrals.
Continuously develop the program - its fee model, portal experience (PartnerStack), and reporting - and champion new field-driven initiatives that scale partner impact.
Credit Program
Work with the sales team to identify deals that are a fit for the program.
Align with the relevant partners and secure credit commitment for specific deals.
Collaborate with the Partnership team and Commercial Partnership team to build pipeline and secure partner commitment.
Define and improve processes to scale the program.
Onboard new partners to the program.

Were looking for a Product Designer who combines strong UX/UI craft with product thinking and a deep understanding of consumer behavior. Youll think beyond how an experience looks, considering how customers interact with it, what drives their decisions, and how design can create meaningful impact for both the customer and the business.
As part of our Product team, youll shape the end-to-end customer experience across our global e-commerce brands, owning design from early exploration through execution, testing, and iteration. Youll partner closely with Product, Design, Engineering, Data, and Marketing, using customer insights, experimentation, and AI-enabled workflows to move quickly, learn, and continuously improve experiences used by millions of customers.
What Youll Be Doing:
Own the end-to-end design process for customer-facing e-commerce experiences, from early exploration through execution and iteration
Design intuitive, high-converting experiences that balance customer needs, usability, and business impact
Partner with Product, Data, Marketing, and Engineering to turn customer insights and business goals into effective product experiences
Move quickly from idea to execution, using rapid prototyping and managing multiple initiatives in parallel
Use, maintain and evolve our multi-brand design system, balancing consistency and scalability with evolving product and brand needs
Collaborate closely with our global Design team, exchanging ideas and feedback to align on design direction and delivery
Partner closely with Engineering to ensure designs are scalable, feasible, and implemented with high quality
Leverage AI tools to accelerate exploration, prototyping, and iteration while applying strong product and UX judgment
Clearly articulate and advocate for design decisions with cross-functional teams and global stakeholders, grounding recommendations in customer, data, and business insights
Stay ahead of emerging trends and tools across consumer product design, e-commerce, and AI, bringing relevant ideas into our products and ways of working.

Our Analog Layout design team is looking for a Senior Analog Layout Design Engineer - someone who is excited to join a growing group of diverse individuals responsible for handling challenge high-speed mixed-signal circuit designs. We have continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. We are a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our lifes work, to amplify human creativity and intelligence.

What you'll be doing:

Perform physical layout for mixed-signal functions like PLL's, high speed I/O circuits, SerDes, general I/O's, ESD structures designs in state-of-the-art sub-micron CMOS FinFET technologies using Cadence tools.

You will work with ASIC and mixed-signal engineers to customize designs for integration in VLSI products.

Job duties will include floor planning, custom layout and verifying against design rules and schematics, EM/IR analysis.

Our Finance Team is looking for an experienced Salary Controller to join our payroll team and lead end-to-end payroll operations for a large, global workforce. The role is focused on Israeli payroll today, with room to grow into global payroll responsibilities over time. This role requires deep expertise across payroll processes, labor law, reporting to authorities, and the ability to handle complex cases in a fast-changing environment-while working closely with multiple stakeholders across the business.
This is a role for someone who wants to do more than execute: you'll be expected to bring AI and automation into how payroll is run, shaping new tools and processes as the function grows.
This is an outstanding opportunity to learn and grow within a fast-paced, dynamic global company, working with global standards and diverse stakeholders.
What youll do - Global standards:
Own and analyze end-to-end payroll processes for 700+ employees, as part of the Payroll team, ensuring accuracy and compliance.
Maintain and validate payroll master data across the employee lifecycle (onboarding, changes, terminations), ensuring data integrity across systems.
Manage complex payroll cases (e.g., terminations, relocations, special benefits, corrections, retro payments, equity implications, leaves, garnishments, and exceptions).
Lead payroll activities for month-end / quarter-end close, including reconciliations, variance analysis, and support for payroll journal entries and GL reporting.
Partner closely with HR, Finance, Legal, and external vendors/consultants on payroll operations, compliance topics, and process improvements.
Support internal/external audits and work with auditors to ensure documentation, controls, and payroll reports are audit-ready.
Drive continuous improvement: build, document, and optimize payroll workflows, controls, and reporting in a fast-paced, changing environment.

we are building an AI-powered reverse engineering agent. As a Frontend Engineer, youll build high-signal interfaces for expert users, security researchers working inside complex binaries and large codebases.
This role is about developer tooling and research productivity, not marketing pages. Youll turn complex analysis outputs into interfaces that are fast, precise, and genuinely useful.
What Youll Do
Build UI for reverse engineering and research workflows
Partner with backend and research teams to surface complex insights clearly
Design and implement interfaces for navigating large, messy codebases
Improve performance, usability, and clarity for expert workflows
Own frontend features end-to-end: from spec → implementation → polish.