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We are looking for a motivated Junior data Engineer to join our data engineering team. In this role, you will support the development, maintenance, and improvement of data pipelines and infrastructure that power our AI department. This is a great opportunity for someone early in their career who is eager to learn modern data technologies and contribute to data -driven solutions in a production environment. Key Responsibilities
* Assist in building, maintaining, and improving ETL /ELT pipelines for data processing.
* Work with modern data tools and platforms, including Databricks (Spark, SQL) Apache Airflow, and Azure services
* Support troubleshooting of data pipelines, queries, and scheduled jobs to improve reliability and performance.
* Help implement and follow best practices for data governance, security, and monitoring.
* Collaborate with senior team members to deliver scalable and efficient data solutions.
* Stay current with data engineering tools, technologies, and best practices.

We are the leading AI creation platform helping teams build, deploy, and scale their content output by combining all the leading AI models, AI tools, and a world-class stock catalog in one place. Plus, with a dedicated partnership from our award-winning creative team, organizations have everything they need to succeed with AI today. Trusted by 50M+ creators and 50% of Fortune 100 companies worldwide including Google, Amazon, Microsoft, and Versace, we provide a seamless, subscription-based platform with a global license to produce professional video content efficiently and securely. We are looking for an IT & AI Operations Specialist who will not only maintain and elevate our corporate IT environment, but also pioneer internal AI automation, empowering our global teams to work faster and smarter. In this role, you will bridge traditional corporate IT infrastructure with modern, cutting-edge AI workflows. You will manage IT operations, identity controls, and SaaS ecosystems while active identifying, implementing, and maintaining AI agents, automation tools, and internal productivity pipelines across HR, Marketing, Support, and Finance. Key Responsibilities
* IT Operations & Infrastructure: Manage corporate devices, user onboarding/offboarding, SaaS licenses, hardware procurement, and endpoint management (MDM, Jamf, Intune).
* Identity & Access Management: Oversee identity access controls, SSO/SCIM integrations, Okta/Google Workspace, and system permissions across the organization.
* AI Workflow Automation: Design, build, and deploy automated internal workflows and AI assistants/agents to eliminate operational friction across non-technical teams.
* AI Tool Evaluation & Implementation: Scout, TEST, and onboard emerging generative AI products, LLM frameworks, and productivity tools into company-wide workflows safely.
* Standardization & Governance: Establish reusable prompt libraries, integration templates, and AI usage policies so teams can safely build their own minor automations.
* Support & Troubleshooting: Provide Tier 2/3 Technical Support for complex hardware, software, network, and AI-tooling issues.

Required Product Operations
Tel Aviv
Full-Time
About Us:
Were building the first AI-native autonomous revenue engine for D2C brands, a new category of AI infrastructure replacing the entire revenue stack.
If you want to build category-defining infrastructure with a team that ships weekly, lets talk.
About the Role:
Product Operator is a hybrid role for someone with Python, SQL, or other development experience who wants to grow fast in a startup environment. Youll support our engineering and data teams, work on client insights, and get hands-on with our business needs. Beyond coding, youll act as the right hand to the CTO, helping drive both technical and business initiatives.
Responsibilities:
Support engineering and data teams with coding, testing, and analysis
Provide insights from client data to guide product and business decisions
Assist with product management tasks
Take ownership of cross-team tasks that require a technical mindset
Partner closely with the CTO to move projects forward across the company.

Required Data Scientist
Tel Aviv
Full-Time
About Us:
Were building the first AI-native autonomous revenue engine for D2C brands, a new category of AI infrastructure replacing the entire revenue stack.
If you want to build category-defining infrastructure with a team that ships weekly, lets talk.
About the Role:
As a Data Scientist, youll be at the heart of the intelligence behind our product. Youll develop predictive models, analyze complex behavioral datasets, and collaborate across engineering and product to turn insights into real-time actions for our clients. This is a hands-on role with plenty of ownership and room to grow.
Responsibilities
Model Development:
Design scalable ML models that predict customer churn, ideal purchase timing, product recommendations, and more.
Data Exploration & Feature Engineering:
Structure and clean large datasets, develop features, and surface key behavioral patterns.
Collaborate with Engineering:
Work closely with developers to implement models and ensure performance at scale.
Business Insight Generation:
Turn data into actionable insights that drive product features and client decisions.

Required Founding Engineer
Tel Aviv
Full-Time
About Us:
Were building the first AI-native autonomous revenue engine for D2C brands, a new category of AI infrastructure replacing the entire revenue stack.
If you want to build category-defining infrastructure with a team that ships weekly, lets talk.
About the Role:
This is a broad, hands-on engineering role.
Youll work directly with the founders and own the most challenging parts of the platform end to end.
The focus is backend and infrastructure, but youll work across the full stack whenever a problem calls for it.
Youll help shape the technical direction, and how engineering works as the team grows.
Responsibilities:
Own the Challenging Problems - Take the most complex parts of the platform end to end, from architecture through production.
Shape Architectural Decisions - Help define service boundaries, data models, and technical direction as the platform scales.
Build the Core - Design and ship the systems at the heart of the platform.
Scale the Data Pipeline - Build the ingestion, processing, and orchestration layers that move data through the platform reliably.
Own Infrastructure - Shape deployment, observability, and reliability across cloud infrastructure and Kubernetes.
Build End to End - Work across the full stack when the problem calls for it, including the surfaces your services power.

Required Founding Designer
Tel Aviv
Full-Time
About Us:
Were building the first AI-native autonomous revenue engine for D2C brands, a new category of AI infrastructure replacing the entire revenue stack.
If you want to build category-defining infrastructure with a team that ships weekly, lets talk.
About the Role:
This is a broad, hands-on design role.
Youll work directly with the founders and take ownership of how we look and feel across product, marketing, sales, and client-facing work.
Today, much of this is handled by the product and engineering team. Were looking for someone who can bring consistency, quality, and a clear design language across everything we build.
Theres no established design system or heavy process yet, so youll have a lot of influence over how the design function develops.
Responsibilities:
Product - Design our platform and client-facing dashboards, from user flows through final UI.
Client deliverables - Create email templates and campaign creatives for enterprise brands, including production-ready HTML where needed.
Brand & commercial - Design pitch decks, one-pagers, presentations, and other sales and marketing materials.
Website - Own the design and implementation of our website using Framer, Webflow, or code.
Design system - Build and maintain a consistent visual language across product and brand.

We are looking for a Mechanical Design Engineer to join our Electronic Warfare R&D team and work on mechanical development of advanced counter-UAV detection and jamming systems.

Key Responsibilities
Lead full-cycle mechanical design of electronic and RF system assemblies - from initial architectural concept, thermal and structural analysis, and PCB integration to volume serial production
Perform structural, thermal, and modal analyses.
Select suitable materials, components, and manufacturing technologies.
Manage development and engineering processes end-to-end: from concept, through prototyping, to full production implementation, ensuring quality and supply chain standards.
Prepare drawings, production files, and BOMs according to ISO standards.
Develop mechanical solutions for multidisciplinary systems (mechanics, RF, electronics, aeronautics).
Define and design cable assemblies, including cable routing and integration within the system
Conduct verification and validation testing.
Work with advanced CAD tools: SolidWorks for design and PDM for production document management.

Required Founding ML Engineer
Tel Aviv
Full-Time
About Us:
Were building the first AI-native autonomous revenue engine for D2C brands, a new category of AI infrastructure replacing the entire revenue stack.
If you want to build category-defining infrastructure with a team that ships weekly, lets talk.
About the Role:
Youll build the platform our data science team works on.
That means the pipelines, tooling, and infrastructure that let data scientists train, deploy, and monitor models without needing an engineer at every step - and working alongside them to get their models onto the platform when they do.
The work is predictive ML: churn, purchase timing, and recommendations, running for enterprise clients at scale.
Youll help shape how ML is built and operated here as the team grows.
Responsibilities:
Build the ML Platform - Design the pipelines, tooling, and infrastructure the data science team builds on.
Enable Self-Service - Make it possible for data scientists to train, deploy, and monitor models without an engineer in the loop.
Implement Models on the Platform - Work alongside data scientists to take their models from notebook to production.
Own Features at Scale - Build the feature pipelines that keep training and inference consistent.
Keep Models Healthy - Build the monitoring and retraining that keep predictions accurate over time.
Shape How We Build ML - Help define the tooling, standards, and practices for ML as the team grows.