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we are looking for a Senior UX Writer.
On your day to day-
youll shape the words that shape our product - writing clear, human, and helpful copy that guides users every step of the way. Youll partner with Product, Design, and R&D to define our voice, fine-tune flows, and make every micro-moment feel intentional. Youll move fast, test often, and help turn complexity into clarity.

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.

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.

Were looking for a Corporate Controller - Group Lead to manage our HQ parent company and subsidiaries accounting and financial aspects. This role will report to the companys Director of Finance.
Why is this role so important at our company?
The Corporate Controller will play a major role and will hold all responsibilities related to month and quarter closing processes as well as any other financial/accounting operations for HQ.
So, what will you be doing all day?
Your role as part of the Controllership team means your daily responsibilities may include:
Lead the monthly, quarterly and annual closing process of global subsidiaries and parent company, including preparation of journal entries and flux analysis
Lead a significant part of the annual 20-F filling and other relevant fillings
Lead a team of direct reports
Participation and support of audit process with auditors including the provision of WPs as required for quarterly reviews and annual audit
Preparation of annual tax returns and other statutory reporting requirements
Prepare and engage in analysis of complex tax issues with outside advisors
Assist in design and documentation of internal controls (SOX) and policies
Support the implementation of new accounting standards in order to comply with US-GAAP
Support the work of AP team to ensure accuracy of financial records
Supporting billing-related processes and integration with financial systems
Participate and lead improvements in internal financial and system processes.

The marketing world is undergoing its biggest shift in a decade. Discovery is no longer just "search"-it's increasingly mediated by AI. Users are asking questions in ChatGPT, Perplexity, and Google AI Overviews, and the traditional "search → click → website" funnel is fragmenting. This shift has created a new discipline: Generative Engine Optimization (GEO) and AI Engine Optimization (AEO).
we are uniquely positioned to lead this space. We have proprietary data that reveals not just what AI shows users, but what users actually do next-which channels they visit, where demand flows, and how brands win (or leak) visibility. Our mission is to help marketers understand their visibility in AI platforms, connect that visibility to downstream business outcomes, and take action to improve.
The Impact of This Role
As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.
You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team-turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.
Your core mandate:
Own a product area end-to-end within Gen AI Intelligence-from the underlying data and pipelines, through the user-facing experiences, to how customers extract value via APIs and integrations.
Define what data we need, how we structure it, and how we expose it to users and downstream systems
Deeply understand user workflows and jobs-to-be-done to identify the highest-leverage data solutions
Partner with Data Science to translate models and extractions into usable, reliable data pipelines
Ensure data quality, coverage, and governance across our Gen AI data estate
Drive product development end-to-end: from discovery through definition, prototyping, design, development, and deployment-with continuous iteration
Collaborate across a multi-disciplinary team: data scientists, data engineers, full-stack developers, UX designers, product marketers, and business stakeholders.
What you'll do day-to-day
Obsess over user context: Understand how SEO practitioners, content marketers, and marketing leaders actually work-what questions they're trying to answer, what data would unlock value, and where current solutions fall short
Define data products end-to-end: From discovery through definition, schema design, pipeline development, and delivery-ensuring consistent quality and velocity
Connect data to user outcomes: Work closely with product teams that consume your data (reporting UX, recommendations, APIs) to ensure the data products actually solve user problems
Partner deeply with Data Science and Engineering: Translate DS models into production-ready data products; define requirements for data engineering pipelines; prioritize platform investments;
Define the core metrics, datasets, reports, and insights that will be made available to our users through our SaaS platform, APIs and MCPs.
Own data quality and coverage: Define metrics for data completeness, accuracy, and freshness; build feedback loops to continuously improve
Make tradeoffs with evidence: Use quantitative and qualitative analysis and user research to prioritize ruthlessly-not everything can be built, so you need to know what matters most.

We are looking for a Senior Product Manager to join our Sales Intelligence (SI) team. While our Sales Ops-focused teams build the "backbone" of sales strategy (B2B-heavy data and admin flows), this role is dedicated to the Sales Person. Your mission is to build the "B2C-style" front-end experience for individual sales professionals. You will create tools that aren't just powerful, but are a joy to use-making digital intelligence feel like a superpower in the hands of every salesperson. You will lead the strategy for how a seller finds, researches, and closes deals daily.
A day to day as a Product Manager means...
User-Centric Research: Conduct deep-dive interviews and observations with Sales Reps, Account Executives, and SDRs to understand their daily "hustle" and friction points.
B2C Mindset in a B2B World: Design and define features that feel like consumer-grade apps-fast, intuitive, and immediately actionable.
Product Vision & Strategy: Build and adjust the vision for "Sales Empowerment" tools, ensuring they align with our broader Sales Intelligence goals.
Cross-Functional Collaboration: Partner with big data engineers and data scientists to turn complex signals into simple "buying cues," while working with designers to ensure a seamless UI.
Rapid Iteration: Roll out features responsibly through beta programs, monitoring KPIs like "Daily Active Usage" and "Time-to-Value" for the individual seller.
AI for Sales: Define how AI can automate the "boring stuff" for sellers-from personalized outreach generation to automated prospect discovery.