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We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the world’s largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. About the Role We're looking for a Compliance & Anti-Money Laundering Consultant to join our financial Compliance team This role offers an excellent opportunity for recent graduates and professionals with initial experience who are looking to develop a career in Anti-Money Laundering (AML), Compliance, and Regulatory Affairs within a professional, dynamic, and multi-disciplinary environment. Key Responsibilities
* Perform ongoing AML controls and monitoring activities in accordance with the organization's annual work plan.
* Analyze data and dedicated reports to identify unusual activity, trends, and potential risks.
* Conduct investigations and in-depth reviews to identify suspicious activity patterns and AML typologies.
* Prepare reports, document findings, and present conclusions and recommendations.
* Monitor exceptions and deficiencies and support the implementation of corrective actions.
* Assist in the preparation of reports and reviews for internal and external stakeholders.
* Implement, maintain, and monitor AML policies, procedures, and work processes.
* Provide professional guidance to employees and business units on AML matters.
* Participate in training activities and support the implementation of regulatory requirements across the organization.
* Work closely with internal stakeholders and external parties as required.
* Perform additional compliance and AML-related tasks as directed by the supervisor.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We're looking for an experienced Product Manager to assist with the strategy and roadmap for key areas of Infinidat's storage portfolio. At this role, you will work closely with R&D, customers, and go-to-market teams to translate enterprise requirements into product capabilities.

Responsibilities:

* Own the product roadmap and backlog for an assigned area of the InfiniBox/InfuzeOS portfolio.
* Gather and prioritize requirements from enterprise customers, Fortune 500 accounts, and field/sales teams, understand pain points and translate business needs into product and feature improvements.
* Write PRDs and detailed feature specifications for engineering, and confirm key requirements are met using hands-on validation.
* Partner with R&D on release planning, scoping, and prioritization trade-offs.
* Develop and maintain supporting documentation and best practices guides for the product area(s) owned, including deployment/configuration guidance, technical reference material, and internal enablement content for sales, support, and professional services.
* Support pre-sales, competitive positioning, and customer/analyst conversations.
* Track storage industry and market trends (AI/data workloads, cyber resilience, hybrid cloud, file and block) to inform strategy.
* Collaborate cross-functionally with marketing, sales engineering, professional services, and support organizations.

DealHub.AI is building the future of agentic revenue technology. Trusted by leading global businesses, we’re redefining what revenue teams can achieve with AI and agentic execution across the deal lifecycle. Our mission is simple: help businesses Own Your Revenue with greater speed, intelligence, and governance. As an Solution Expert you will serve as the technical trusted advisor for our customers, bridging AI capabilities with their specific business goals and revenue workflows You will embed deeply with customers. Part consultant, part engineer, part strategic advisor: leading AI sessions, configuring AI-driven workflows using DealHub MCP, training users on best practices, and ensuring measurable business outcomes. You'll collaborate closely with Customer Success, Product, Support, and Engineering teams, and will be the go-to expert for any AI-related technical solution. This is an ideal role for someone who thrives at the intersection of cutting-edge AI technology and real-world business challenges. This role is ideal for someone who thrives on ambiguity, moves fast, and finds equal satisfaction in writing clean code and presenting a solution to a CFO. Key Responsibilities
* Embed deeply with customers to understand their technical environment, business processes, and AI workflows and then design and build solutions that fit.
* Build and deploy AI-powered workflows, MCP-based automations, and intelligent features within the DealHub platform tailored to each customer's use case taking into account the integration landscape such as Salesforce, HubSpot, Dynamics, NetSuite, and billing platforms.
* Leverage LLM, AI, APIs, webhooks, data pipelines, automation scripts.
* Lead technical AI sessions — review requirements, demo solutions, help build agents and perform training.
* Translate complex AI and technical concepts into clear, tangible business value; operate as a trusted advisor, not just an implementer.
* Identify and resolve technical blockers proactively; operate with confidence under ambiguity and incomplete information.
* Build reusable engineering assets: integration libraries, prompt templates, and AI workflow scaffolding that scale across the customer base.
* Act as a direct feedback loop from the field to the Product and Engineering teams surfacing patterns, edge cases, and AI feature opportunities discovered during deployments.
* Monitor post-go-live and drive continuous improvement.

Kendago is on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers — both our own and those of leading partners — by combining proprietary technology, data-driven decision making, and creative excellence at performance scale. We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, Kendago stays ahead of the curve We move fast , think deeply, and build with purpose . Our culture is rooted in entrepreneurship, innovation, and collaboration — along with shared wins, team dinners, and a whole lot of good food and laughter. We’re a team of makers, doers, and boundary-breakers — product, data, R&D, growth, and creative talent who own the full stack of how consumer brands are built and scaled today. For 17 years, we've built and scaled brands in-house, giving every team member the opportunity to influence decisions, drive growth, and see the impact of their work firsthand. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here. ABOUT THE ROLE We are looking for a Hands-on Performance Marketing Team Lead to take ownership of a brand / customer activity, combining P&L ownership hands-on media management, direct management of a small performance marketing team, customer communication and growth. This is a hands-on role that includes leading a small media team of 1–2 people, while being deeply involved in day-to-day campaign management, performance analysis, experiments and optimization. The role also includes prioritizing and syncing all relevant teams — Media, CRO and Creative — around the same goals. Our office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week.

Responsibilities:

* Own the brand’s P&L.
* Manage the media team directly.
* Stay hands-on in campaign management, performance analysis, optimization and ongoing media activity.
* Prioritize and sync all teams relevant to the brand, including Media, CRO and Creative.
* Partner with the Business Development team to manage customer communication and relationships. Lead customer development and growth : identify opportunities for growth, additional platforms, creative directions, funnels or other business opportunities.
* Lead cross-functional meetings, ensuring clear communication, alignment, and execution across all stakeholders.
* Prepare monthly business reviews for management, including performance against goals, project updates, key risks, and growth opportunities.


Biz Dev:
Media

Remote/Part time:
Hybrid

Were looking for a Data Scientist to join our R&D department!
Why is this role so important?
A data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) at Similarweb look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using Similarwebs raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

As the User Acquisition, you will be a key player in driving our user acquisition strategy across multiple platforms, with a focus on Google Ads, Meta (Facebook/Instagram) Ads, TikTok Ads, and other RTB platforms. You will oversee the entire lifecycle of paid campaigns, from strategy and execution to optimization and analysis. Reporting to the Chief Marketing Officer (CMO), you will work in a fast-paced, data-driven environment where your impact directly contributes to the companys rapid growth and success.

This role offers a unique opportunity to join a still early-stage company with significant growth potential and a real chance to shape the future of our digital marketing efforts. You will be responsible for crafting campaigns that maximize user acquisition and brand visibility, ensuring our cutting-edge platform reaches a global audience of aspiring authors and readers.

Key Responsibilities:
Campaign Strategy & Execution: Develop, implement, and optimize PPC campaigns across Google Ads, Meta Ads, and other digital platforms to drive user acquisition and growth.
Budget Management: Manage acquisition budgets effectively, ensuring maximum ROI while meeting cost-per-acquisition (CPA) and return-on-ad-spend (ROAS) targets.
Performance Analysis: Analyze campaign performance through data analytics tools, providing actionable insights and adjustments for optimization.
A/B Testing & Optimization: Lead A/B testing initiatives to refine ads, landing pages, and conversion funnels, driving higher performance and engagement.
Collaboration: Work closely with content, design, and product teams to ensure campaign alignment with business goals and branding.
Technology Utilization: Leverage automation and data-driven tools to streamline processes and scale campaigns efficiently.
Reporting: Provide regular reports and insights to stakeholders, translating performance metrics into actionable strategies.
Industry Trends: Stay updated with industry changes, platform updates, and best practices to maintain a competitive edge.

We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, our eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

Were looking for an Infrastructure Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Infrastructure Team Manager in the R&D.
Why is this role so important?
A data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As a Data Infrastructure Engineer in the Datalabs group, you will be the technical backbone supporting our data production, analyst, and data science teams. You will own and maintain our AWS cloud accounts and Databricks workspaces, optimize pipeline executions, and proactively modernize our tech stack to reduce tech debt - ensuring our platform remains scalable, reliable, fast, and cost-effective.
Given the business-oriented nature of Datalabs, you will work closely with cross-functional stakeholders and internal teams who interface directly with strategic customers. By unblocking operational bottlenecks and building robust tooling, you will empower our analysts and data scientists to deliver custom, high-value data products to our customers seamlessly.
So, what will you be doing all day?
Environment & Workspace Management: Administering and optimizing our groups AWS cloud accounts, IAM policies, and Databricks workspaces to ensure peak performance, rock-solid security, and cost efficiency.
Execution & Pipeline Infrastructure: Owning the health, reliability, and scaling of our core data execution environments (Airflow, Docker, EKS/ECS, distributed queues, and database engines).
Tech Debt Modernization: Proactively researching, benchmarking, and replacing legacy debt with modern technologies to keep our platform fast and cutting-edge.
Developer & Production Support: Serving as the technical focal point for internal analysts and data science teams-providing the tooling, standards, and infra support they need to build custom client reports smoothly.
Cross-Group & Client Alignment: Partnering with external engineering teams and internal stakeholders to support custom data delivery pipelines and uphold high-priority customer SLAs.

What You Will Do:
Sales of publishing solutions by consulting with prospective U.S. and international authors through video meetings.
Present our services and solutions effectively, highlighting benefits and success stories.
Address prospective author inquiries and effectively communicate our value proposition to deliver an exceptional experience.
Collaborate with the sales team to refine sales strategies and improve closing rates.
Maintain accurate records of sales activities and customer interactions in our CRM.
Meet and exceed monthly sales targets and KPIs.

Working Hours: 3:30 PM - 12:30 AM.

Required AI Engineer
Why is this role so important?
As an AI Engineer, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.