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This role combines hands-on support at the companys headquarters, remote support for global users and offices, end-user asset lifecycle management, inventory and warehouse operations, hardware refresh initiatives, and ongoing ownership of global processes related to end-user equipment and workplace technology.

You will:
Provide global end-user support for hardware, software, networking, Microsoft 365 services, and workplace technologies across Windows and macOS environments.
Manage the full lifecycle of end-user devices, including procurement, deployment, onboarding, maintenance, refresh programs, and secure decommissioning.
Administer user accounts, access permissions, and collaboration platforms through Microsoft 365, Active Directory, and Microsoft Entra ID.
Own and maintain global IT asset inventory, warehouses, and equipment logistics, ensuring accurate tracking, availability, compliance, and cost optimization.
Support and operate meeting room technologies, Microsoft Teams Rooms, audiovisual systems, and workplace infrastructure to ensure seamless employee collaboration.
Lead IT operational improvements and cross-functional projects, leveraging reporting, analytics, automation, and best practices to enhance service quality and efficiency.

Are you passionate about connecting top tech talent with the right opportunities? Were looking for an experienced Tech Recruiter to join our team!

Location: Fully remote.

Position: Part-time (with flexibility).

What Youll Do:
Manage the full recruitment cycle for tech roles
Source, screen, and engage top tech candidates
Collaborate with hiring managers to understand their needs
Build strong talent pipelines

We're looking for a DevOps Engineer to join our growing Infrastructure team.
You'll work alongside our DevOps team to design, scale, and optimize the cloud infrastructure powering our company's AI-driven platform. As our product and engineering organization continue to grow rapidly, you'll play a key role in improving reliability, automation, scalability, and developer productivity.
This is a highly hands-on role with significant ownership. You'll collaborate closely with R&D, AI, and Security teams to build reliable infrastructure, streamline development workflows, and help shape the future of our engineering platform.
Responsibilities
Design, build, and maintain scalable cloud infrastructure.
Develop and improve CI/CD pipelines and deployment processes.
Manage and optimize Kubernetes clusters and containerized environments.
Automate infrastructure using Infrastructure as Code (Terraform or similar).
Improve monitoring, observability, and system reliability.
Support production environments and troubleshoot infrastructure issues.
Collaborate closely with R&D, AI, and Security teams to improve developer experience.
Help define infrastructure best practices and drive operational excellence.

The Role & The Challenge
We are seeking a DevOps Engineer, at the mid or senior level, to join our infrastructure team, reporting directly to our DevOps Team Leader. Depending on experience, this role will either contribute to or help drive advanced infrastructure initiatives - from system design through production hardening - as we raise the bar for operational excellence across the company.
The immediate challenge: our company operates a high-volume, multi-account AWS environment. You will help solve complex delivery, scaling, and operational problems along the way. Scope and ownership will be calibrated to your experience level.
Responsibilities
Contribute to Cloud & Migration Strategy: Work alongside our DevOps Team Leader to help plan and execute our migration from ECS Fargate to Kubernetes (EKS) without downtime, while maintaining our existing cloud estate.
Advance Infrastructure as Code: Design and implement modern, modular IaC frameworks utilizing Terraform and OpenTofu to ensure consistent, multi-environment deployments.
Improve Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
Support Data-Intensive Infrastructure: Help maintain the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
Strengthen Reliability & Observability: Help maintain organization-wide reliability standards using open, modern telemetry stacks (OpenTelemetry, Coralogix, Grafana), ensuring on-call operations are driven by signal, not noise.
Balance Growth & Governance: Participate in technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency.

We are looking for a Data Analyst to serve as the analytical bridge between our marketplace economics and daily business operations. This is not a "ticket-pulling" role; this is a strategic partnership role. You will wear two hats: acting as the dedicated, day-to-day data partner for our Account Managers, and operating as a proactive business intelligence engine to uncover where our next growth opportunities lie.
You will be the person with your ear to the ground, taking large-scale marketplace data and turning it into simple, meaningful actions that shape our product and business decisions. If you are an AI-native problem solver who loves automating the "boring" work to focus on high-impact strategy, we want to talk to you.
What You'll Do
Be the Business Bridge: Act as the primary data point-of-contact for Account Managers. Youll help them diagnose complex performance issues, explain why things are happening in the data, and suggest clear, actionable next steps.
Proactive Business Intelligence: Look beyond the dashboard. Identify patterns in supply, demand, and brand performance. Youll surface the findings-like user history modeling or cohort analysis-that influence company strategy every few weeks.
Automate & Scale: We dont just want you to run queries; we want you to build. Whether its automating classification, optimizing supply/demand tagging, or building models that make our data more accessible to the team, youll focus on building for the long term.
AI-Native Automation: A massive green flag for us is someone who builds bots (Slack, email, or web apps) to share knowledge and automate repetitive workflows. Youll help us build a smarter, more efficient data culture.

As a Financial Product Analyst, youll work at the intersection of Product, AI, Data, and Customer Success.
Youll become an expert in our companys AI platform and help ensure customers receive accurate, scalable, and high-quality solutions.
This role combines financial reasoning, product understanding, analytical thinking, and technical curiosity. Youll evaluate AI-generated outputs, validate product behaviour, investigate customer use cases, identify product improvements, and collaborate closely with Product and Engineering to enhance the platform.
If you enjoy solving business problems, working with data, understanding complex products, and influencing product decisions, this role is for you.
What Youll Do
Become an expert in our companys AI platform and customer workflows.
Evaluate AI-generated outputs and validate the quality and accuracy of product results.
Perform functional product testing across real customer scenarios.
Analyse financial, operational, and product data to identify trends, issues, and opportunities.
Investigate customer questions and complex business cases.
Design scalable product solutions for enterprise customers.
Work closely with Product and Engineering to recommend product improvements based on customer feedback and data.
Support customer onboarding and validate product configurations.
Identify product gaps, edge cases, and workflow improvements.
Translate complex business requirements into clear product recommendations.
Continuously improve product quality and customer experience.

We are looking looking for an exceptional Executive Assistant to work closely with our CEO.
This is a highly trusted, hands-on role combining approximately 70% personal assistance and private schedule management with 30% executive and business operations. The personal side is the core of the position.
The right person will quickly learn the CEOs routines, preferences, and priorities, anticipate his needs, and stay one step ahead.
Responsibilities
Manage the CEOs complex personal and professional calendar, including meetings, appointments, personal commitments, preparation time, and changing priorities.
Take full ownership of the CEOs frequent travel arrangements, including researching and booking flights, hotels, transportation, complete itineraries, changes, and special requirements.
Manage purchases, vendors, and service providers for the CEOs personal and family-related needs.
Handle urgent requests, unexpected issues, and ongoing personal matters from initial request through full resolution, while proactively tracking open items and anticipating upcoming needs.
Coordinate executive and leadership meetings, including scheduling, preparing agendas, collecting materials, documenting decisions and action items, and following up with owners until completion.
Create executive presentations, including All Hands and leadership updates, by collecting input from stakeholders and turning it into clear, accurate, and well-structured content.
Plan and coordinate leadership offsites, including schedules, travel, venues, logistics, catering, materials, and communication with participants and suppliers.
Support the OKR coordination, follow-ups, and progress tracking.
Support initiatives led by the CEO by coordinating stakeholders, organizing information, tracking progress, and ensuring decisions are translated into action.

Were hiring an AI Engineer to design and build the intelligence layer behind our autonomous offensive security platform.
Youll develop AI agents capable of performing vulnerability discovery and exploitation at the level of top human white-hat hackers - combining deep security expertise with advanced AI reasoning and decision-making.
This role, reporting directly to our Agent TL, offers the opportunity to define how AI transforms offensive cybersecurity.
Youll collaborate closely with AI researchers, software engineers, and security experts to translate penetration-testing workflows into intelligent, automated capabilities - systems that plan, execute, and adapt in real time.
If youre passionate about AI, thrive in fast-paced environments, and want to shape the future of autonomous cybersecurity - wed love to meet you.
Responsibilities
Design and implement autonomous AI agents for penetration testing and vulnerability exploitation.
Translate offensive security workflows into intelligent, multi-step reasoning systems.
Develop modules for exploit generation, payload delivery, and adaptive vulnerability scanning.
Collaborate with AI researchers to fine-tune and evaluate models that enhance reasoning, adaptability, and precision.
Build evaluation frameworks to measure exploit success, learning performance, and reliability.
Ship production-ready AI systems that improve the speed, depth, and scalability of security testing.
Establish best practices for safe and controlled deployment of AI agents in offensive environments.

Are you passionate about TikTok and Instagram, with a knack for creating engaging, trend-savvy content? our company, a fast-growing e-commerce startup recently acquired by Fiverr (but operating independently), is looking for a talented Social Media Manager to elevate our social media presence.
our company automates e-commerce and dropshipping businesses through an all-in-one platform that helps users discover profitable products, streamline operations, and scale with ease. With a global, collaborative team, every employee is empowered to make an impact and contribute to our success.
In this role, youll manage a small team to leverage your creativity and video editing expertise to manage and grow our social accounts, shape our brand narrative, and engage audiences worldwide.
Responsibilities:
Research, plan, and create engaging content aligned with the marketing calendar and trending topics.
Manage all TikTok & Meta Shorts content, including posting, scheduling, and monitoring performance.
Identify and respond to social trends to drive account growth and engagement.
Develop strategies to grow followers, boost engagement, and expand reach, meeting ambitious targets.
Collaborate on cross-platform content ideas and campaigns, leveraging your expertise in TikTok and Instagram audiences.

We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

As an AI Algorithm Engineer at our company, youll design and implement advanced algorithmic workflows that power our data digestion pipelines and conversational AI agent experience. You will:
Architect and build workflows that turn raw, unstructured data (e.g., PDF documents and ultra high-resolution architectural drawings) into meaningful, structured context for downstream analysis.
Combine techniques from classical NLP, computer vision, unsupervised learning, and graph theory to build robust end-to-end pipelines - not just standard LLM API calls, but intelligent decomposition, structuring, and context engineering.
Develop AI agent workflows that let customers explore, query, and reason about their data naturally and reliably.
Build strong evaluation infrastructure to benchmark and continuously improve both classical algorithmic components and LLM-based workflows.
Work primarily in Python, and collaborate across systems and services in TypeScript when needed.
Move fast from prototype to production, while maintaining correctness, scalability, and measurable quality.

We are looking for a sharp, analytical, and detail-oriented Data Analyst with a strong finance background who enjoys investigating complex financial data problems, working with large transactional datasets, and digging deeper than the obvious answer.

You will:
Analyze complex financial data using SQL to uncover trends, anomalies, and actionable insights.
Investigate data quality issues and perform root cause analysis on discrepancies and reconciliation breaks.
Build and validate matching, reconciliation, and data validation processes.
Develop and maintain BI dashboards and reports for business stakeholders.
Partner with Product, Engineering, and business teams to solve data-driven challenges and automate recurring analyses.

we are disrupting performance marketing, delivering millions of new customers to brands every month. We're hiring a hands-on Senior Applied Data Scientist to help build and scale production-grade recommendation systems that drive our core marketplace outcomes.
This is not a research-only role. We're looking for someone who can take models from idea to production - running experiments, measuring business impact, and continuously improving the systems behind how our company matches people with the right brands. You'll own the full lifecycle: exploratory analysis, data prep, modeling, testing, deployment, and post-launch measurement.
The ideal candidate has worked in a real production environment, brings strong deep learning experience, and understands recommendation systems in practice - not just in theory. Success here means shipping models that move our company's core KPIs, connecting technical work to measurable business impact, and helping the team scale with strong engineering discipline.
This role is ideally based in Israel, but strong candidates in the U.S. will also be considered.
What You'll Do
Own the full funnel of applied machine learning work, from idea through production
Build, improve, and deploy recommendation models that support our company's core business goals
Tackle deep learning problems in a production setting - not just offline experimentation
Conduct exploratory data analysis, preprocessing, feature development, and modeling
Run experiments and evaluate success against business KPIs, not just model metrics
Partner with engineering and infrastructure teammates to productionize models and scale systems
Improve recommendation quality, personalization, and the business performance tied to those systems.

Search is splitting into two games: people still type queries into Google, but they also ask ChatGPT, Perplexity, and Google's AI Answers "what's the best dropshipping tool" and act on whatever gets cited back. Our organic strategy needs to win both.
You'll be the Senior SEO / GEO Manager, owning organic strategy end to end across SEO, GEO, and AEO. You'll report to the VP Growth and manage one SEO Specialist.
This is not a role that only writes decks. You'll set the plan, manage your one direct report, and stay hands-on in the work - auditing sites, writing briefs, fixing schema, and running crawls yourself. You'll work closely with the content team and developers, but you own the strategy, the reporting, and the results.
What You'll Do
Build and own the organic strategy across SEO, GEO, and AEO, and defend priorities to the VP Growth with data.
Run traditional SEO - keyword strategy, on-page, internal linking, topical authority, technical health, and Core Web Vitals.
Position our company to get cited by LLMs and answer engines through citation-worthy content, entity and brand presence, and structured data.
Own site structure - information architecture, schema markup, and the technical setup that lets crawlers and AI systems read our content.
Align the company on the strategy and drive implementation with the content team and the developers.
Manage, coach, and unblock one specialist - clear direction, real coaching, no micromanaging.
Report what moved and why: organic traffic, rankings, citation share in AI answers, assisted conversions, and signup impact.

Were looking for an experienced Account Executive to drive growth across Israel and selected European markets and help expand our companys presence in the cybersecurity market.
In this role, youll own the full sales cycle - from identifying and developing new opportunities to closing strategic enterprise deals. Youll work closely with our Solutions Engineer, as well as our marketing, product, and technical teams, to deliver meaningful value to customers throughout the sales process.
As the Account Executive responsible for this territory, youll have significant ownership over developing the market, building the pipeline, and establishing strong relationships with customers and partners.
Youll play a key role in bringing our companys vision to life by helping enterprises adopt cutting-edge, AI-powered offensive security technology.
This is a high-ownership individual contributor position for a driven, entrepreneurial sales professional who thrives in dynamic environments, enjoys building markets, and knows how to turn relationships into business opportunities.
Responsibilities
Own and manage the full sales cycle- from prospecting and pipeline development to negotiation and contract closure.
Develop our companys commercial presence across Israel and selected European markets.
Proactively generate new business opportunities through direct outreach, industry relationships, partners, events, and conferences.
Build and nurture long-term relationships with key prospects, customers, and relevant industry stakeholders.
Work closely with the Solutions Engineer throughout the sales process, including discovery, demonstrations, technical evaluations, and proof-of-value processes.
Collaborate with marketing, sales development, product, and technical teams to execute effective go-to-market strategies.
Accurately forecast sales performance, maintain pipeline visibility, and report progress and results to leadership.
Stay up to date on industry trends, customer needs, and the competitive landscape to identify new opportunities and potential risks.