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we are looking for a Senior Talent Acquisition Partner.
On your day to day:
As a Talent Acquisition Partner, you will be responsible for E2E recruitment for a variety of positions, including finding, attracting, interviewing and hiring top talent. You will partner with managers of all levels, including C-level, and have a complete ownership of the recruitment pipeline, funnel and process.

The Product is where we dream big and at the same time question how things have been done for decades in a highly competitive landscape. Everything - under the hood and all the way to the shiny exterior - must adhere to the highest standards. Theres simply no other way about it. Its the mentality that got us to where we are today and will continue to lead the way for anything we do.
On your day to day:
As a PM, you'll stay laser-focused on users, uncovering deep insights through qualitative discovery and user interviews to solve real problems. You'll empower engineers and designers as equals, fostering a self-managing team that collaborates effectively and drives meaningful impact

we are looking for a Senior Product Designer.
On your day-to-day, you will-
Take Product design ownership overall platform areas (Dashboard, Studio, Editor, and mobile app)
Collaborate closely with the product, engineering, and design teams in order to define, design, and deliver intuitive UI/UX solutions.
Create wireframes, storyboards, user flows, process flows, high-end designs and prototypes to effectively communicate interaction and design ideas.
Working with usability testing and data analysis in order to reach Intelligent UX solutions.

We are looking for a brilliant and highly motivated Full Stack Engineer who is passionate about technology and eager to make an impact. In this role, you will work on our web applications, contributing to both backend services and frontend applications to ensure seamless performance and scalability. You will be responsible for designing and implementing new APIs, optimizing existing systems, and building high-quality, maintainable solutions that enhance the overall user experience.
What will your day to day look like:
Full-Stack Development: Build and deploy frontend and backend code that supports growth initiatives, ensuring scalability and performance.
Rapid Prototyping: Quickly turn ideas into MVPs for testing and validation, using an agile and iterative approach.
Data-Driven Decision Making: Work closely with analytics tools to gather insights, track KPIs, and make informed decisions that fuel growth.
Collaborate with Cross-Functional Teams: Partner with marketing, product, design, and data teams to identify opportunities and run experiments.
Contribute to the Growth Strategy: Bring your technical expertise and creativity to brainstorm and prioritize growth opportunities that align with business goals.

Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

Were looking for a talented Software Engineer to join our CI team, a dedicated software engineering team within the DevOps group. Our team designs, builds, and maintains the systems that power our continuous integration (CI) environment - including developing AI-driven agents to enhance and optimize CI workflows.
The ideal candidate has a strong software engineering background and an interest in building tools, systems, and services that support large-scale development environments.

We are seeking a Senior UI/UX Lead to own the user experience vision for our AI datacenter orchestration platform. In this role, you will lead product UX for network engineers managing large-scale AI infrastructure-turning complex operational workflows into clear, intuitive, and efficient experiences.
This is a design-led role. You will produce high-quality design deliverables (Figma, prototypes, interaction specs, and UX acceptance criteria) and partner closely with Product Management and Engineering to ship. Engineers will implement the production frontend; your focus is on defining the experience, validating it with users, and ensuring high-fidelity execution.
A key part of the role is leveraging LLM tools to accelerate research synthesis, prototyping, UX writing, and design iteration.
Key Responsibilities
Design & User Experience
Lead end-to-end UI/UX design for a multi-service datacenter orchestration platform serving network engineering teams.
Create intuitive workflows spanning the datacenter lifecycle: provisioning, configuration management, network automation, validation, monitoring, and incident response.
Translate complex technical concepts into clear information architecture, navigation models, user flows, and interaction patterns.
Produce implementation-ready design deliverables: high-fidelity mockups, prototypes, interaction specs, edge cases, states (loading/empty/error), responsive behavior, and accessibility considerations.
Conduct user research with network engineers (interviews, usability tests, workflow mapping) to understand operational pain points and optimize workflows.
Define UX acceptance criteria and partner with Engineering during implementation and QA to ensure the shipped experience matches design intent.
LLM-Augmented Design & Product Workflow
Integrate LLM tools into design workflows to accelerate discovery, ideation, UX writing, prototyping, and iteration cycles.
Use AI assistants for rapid exploration of UI concepts, design pattern alternatives, content drafts, and review checklists.
Establish team best practices for effective prompt usage, quality control, and repeatable evaluation so LLM-assisted outputs improve both speed and quality.
Stay current with emerging AI tools that enhance design productivity and collaboration.
Product & Cross-Functional Leadership
Own the UX roadmap for the orchestration console in partnership with Product Management and Engineering.
Drive cross-functional alignment through design reviews, stakeholder workshops, and clear communication of tradeoffs.
Create a consistent end-user experience across multiple services by defining lightweight UI guidelines, shared patterns, and Figma components.
Help the organization make better product decisions by bringing a strong customer perspective, measurable UX goals, and iterative validation.

Were looking for a strong software engineer who can own complex problems, turn them into crisp technical requirements, and deliver robust solutions within our distributed system.
You will join a team that owns the host layer between applications and hardware, including Linux kernel/OS integration, Docker engine, system security hardening and features, and other foundational infrastructure.
The work is hands-on, performance- and reliability-critical, and involves investigating and researching complex flows across the stack (hardware, kernel, userspace, containers).
What success looks like
You deliver changes that are secure, observable, and maintainable.
You collaborate with application teams and hardware/firmware engineers to unblock system-level issues.
You can explain tradeoffs (performance vs. safety vs. complexity) and defend design decisions.

We are looking for a brilliant and highly motivated Senior Backend Engineer who is passionate about technology and making an impact. You will work on the core processing system of our application, revolutionizing the way the audio and video is recorded.

We are revolutionizing how people buy and rent homes by turning complex data into clear, actionable insights. Our experts - from data scientists to urban planners - generate dozens of insights for every address in Israel, helping people imagine life in a new home before they move in.
Were looking for one strong individual to take full ownership of our business analytics and BI - bringing structure, trust, and clarity before scale.
This is a hands-on, ownership-driven role.
You will be directly accountable for ensuring that business-critical data is Trusted, Consistent, Accessible And actively used for decision-making.
Analytics is the core of this role, not a side responsibility.
Responsibilities
Own end-to-end business analytics and BI across the company
Perform deep analytical work on product, user, sales, and support data
Translate business questions into structured analysis and actionable insights
Define, build, and maintain core KPIs with leadership and product
Clean, organize, and make sense of messy and inconsistent data
Build and maintain business data models (facts & dimensions)
Develop dashboards and reports that are actually used for decisions
Monitor key metrics, identify trends and anomalies, and proactively surface insights
Work closely with leadership, product, finance, and operations teams
Establish basic documentation and standards to reduce knowledge dependency
Use AI tools to transform raw data into actionable insights

This role is critical to our companys ability to scale efficiently and securely. As Corporate & M&A Counsel, you will sit at the center of the companys most strategic and operational initiatives-supporting global corporate governance, complex data and compliance matters, and high-impact M&A and strategic transactions.
You will balance day-to-day legal execution with periods of intense transactional focus, partnering closely with senior stakeholders to prioritize work based on urgency, risk, and business impact.
So, what will you be doing all day?
Lead and manage global corporate and operational legal matters, including insurance programs, vendor negotiations, and cross-border subsidiary issues.
Play a central role in M&A, investments, and other strategic transactions-from structuring and due diligence through negotiation, closing and Post merger Integration.
Advise on global corporate governance requirements across multiple jurisdictions.
Draft, review, negotiate and close commercial contracts, including license and services agreements, statements of work, and related documents with customers, partners, resellers, data licensors and vendors.
Own and manage due diligence questionnaires (DDQs), data compliance reviews, and AI- related legal assessments in response to customer, partner, and internal requests.
Support and continuously improve data, privacy, compliance, and AI governance processes, leveraging technology and AI tools to enable fast, high-quality turnaround.
Independently manage periods of high transactional intensity, flexing priorities as needed to meet business-critical deadlines.
Partner with Sales, Finance, Security, Product, HR, and Operations to provide pragmatic, business-oriented legal advice.
Manage and optimize relationships with external counsel, identifying opportunities to bring work in-house and control costs.

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs.

Were seeking a Director of Revenue Operations to lead and evolve our companys global Field Revenue Operations function. Sitting at the heart of the Go-To-Market organization, this role is responsible for building and scaling a best-in-class RevOps engine that drives predictable growth, operational rigor, and executive-level visibility across the entire revenue lifecycle.
This role reports directly to the VP of Revenue Operations and partners closely with Sales, Account Management, Finance, and Business Operations leadership worldwide.
What Youll Do
Serve as a trusted strategic advisor to Sales and Business Operations leadership, translating GTM strategy into execution through data, insights, and operational discipline
Design, implement, and continuously refine Revenue Operations frameworks that align people, process, data, and technology across the full funnel
Lead weekly, monthly, and quarterly business reviews, providing clear visibility into pipeline health, performance trends, and execution risks
Define and govern KPI frameworks across the revenue lifecycle - including pipeline coverage, conversion rates, productivity, retention, and expansion - enabling proactive performance management
Drive end-to-end GTM optimization initiatives, spanning funnel efficiency, quota attainment, sales productivity, and territory or coverage models
Partner cross-functionally to embed AI-driven insights and automation into RevOps workflows, improving forecast accuracy, seller efficiency, and GTM scalability
Build, lead, and develop a high-performing global Revenue Operations team, fostering a culture of accountability, partnership, and continuous improvement
Establish clear priorities, success metrics, and development paths aligned with our companys long-term growth objectives.