לוח משרות דרושים, לחיפוש זה נמצאו 34,960 משרות

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.

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.

Required Lifecycle Marketing Manager
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 use our AI platform to help leading brands get more from their lifecycle marketing.
This is end to end. Youll build the automations, create the content, launch them with clients, and own the results.
Youll help shape how lifecycle marketing works here as the team grows.
Responsibilities:
Build the Automations - Design and configure the lifecycle journeys that run on the platform.
Set the Rules - Define the triggers, segments, and timing that drive each program.
Write the Content - Own the copy across email, SMS, and every channel the programs run on.
Launch with Clients - Work directly with enterprise brands to get programs live and iterate on what you learn.
Own the Results - Measure lift with holdouts and incrementality, and act on what the numbers say.
Build the Playbook - Turn what works into programs the next client launches with.

We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities
As a Strategic product analyst at our companys Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include:
Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions.
Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions.
Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of our companys ecosystem to uncover insights and support business and product decisions.
Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights.
Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives.
Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities.
Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the teams collective expertise.
The role is all about collaborating with stakeholders to craft their questions into tangible metrics and captivating visuals, empowering them to uncover insights and make informed decisions through the power of data. Plus, you get to dive deep into learning opportunities and document your discoveries, enriching our collective intelligence and fueling continuous improvement.

We are looking for a proactive and analytical FP&A Analyst to join our Finance team and take a key role in supporting business planning, budgeting, forecasting, and financial analysis.

Key Responsibilities
Lead and support the companys budgeting, forecasting, and financial planning processes.
Build and maintain financial models, forecasts, and management reports to support business decisions.
Analyze actuals vs. budget/forecast, identify variances and trends, and provide actionable insights to management.
Prepare and present recurring financial reports and business performance analysis for management.
Work closely with Finance and cross-functional teams to understand business drivers, costs, and financial performance.
Support department-level budgeting and ongoing monitoring of expenses and headcount.
Develop and maintain financial dashboards and KPIs, providing visibility into business performance.
Support cash flow planning and financial modeling, including scenario analysis and long-term planning.
Take part in month-end closing processes and ensure financial data is accurate and aligned with business activity.
Identify opportunities for process improvements, automation, and increased efficiency across financial planning and reporting.

We are looking for a detail-oriented and proactive Bookkeeper (Type 3 / Up to Balance Sheet) to join our Finance team.

Key Responsibilities
Manage accounts payable and receivable, general ledger, bank and credit card reconciliations, and perform month-end and year-end closing processes up to the balance sheet.
Oversee inventory records, stock movements, and valuations within the ERP. Conduct periodic counts, reconciliations, and ensure documentation accuracy (PO/Delivery notes).
Monitor cash flow, track company expenses and budget lines, and ensure timely settlements of payables and receivables.
Prepare regular financial reports (weekly/monthly/yearly) for management, handle tax filings, and provide documentation for external auditors.
Process invoices, match purchase orders to receipts, and proactively resolve documentation gaps with internal teams and vendors.
Process employee expense reports, manage corporate credit cards, and handle multi-currency (USD/NIS) transactions.