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Were looking for a Backend AI Engineer to own and build agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.

Were looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data products that power our company. This role is at the core of our data innovation engine, serving multiple business units and platform products across the company. You will lead cross-functional efforts to define, experiment, deliver, and scale data assets that are foundational to the company products and its market differentiation.

This role offers a unique opportunity to lead high-scale, high-impact data products by collaborating with various R&D data teams, product, and business stakeholders to architect modular, trusted, large scale and intelligent data systems.
We're looking for a true data enthusiast: someone passionate about translating business needs into data solutions, experimenting with data, building strong relationships, shaping methodologies and processes for various data sets, and owning complex data initiatives from end to end.
This role will report to the Director of Product Management, Core CI.
What Youll Do
Data Product Ownership
Own the vision, roadmap, and execution of foundational datasets and delivered metrics that underpin platform functionality, decisioning systems and customer-facing features.
Define success criteria for data products, including coverage, accuracy, freshness, stability, explainability and cost-to-serve.
Lead the design and evolution of scalable, modular data structures and models to provide easier ownership distribution, large coverage and data quality improvements.
Introduce and maintain data quality frameworks including validation rules, monitoring, logging, alerting and governance mechanisms.
Design, evaluate and iterate on core metrics for specific marketing acquisitions channels, cross channels performance and market benchmarks
Experimentation, Prototyping and Validation
Prototype new metrics, datasets and methodologies using different frameworks and languages to create fast proof of concepts.
Experiment with new internal and external data sources and define a clear path for productization.
Define validation strategies including backtesting, triangulation against analytics benchmarks, stability analysis and anomaly detection.
Own and document methodology narratives, assumptions, limitations and appropriate use cases.
Cross-Functional Leadership
Serve as the product voice for data across R&D
Align data engineers, data scientists, analysts and product and business teams around shared data strategy.
Bridge between domain-specific product teams and core data platform
Define data SLAs, fallback strategies, enrichment logic and quality threshold with data consumers.
Partner with product marketing, sales and customer success to support launch and customer facing methodologies discussions.
Execution & Optimization
Write clear detailed product specs that include data definitions, entity mapping, edge cases handling and downstream consumption logic.
Work hands-on with Databricks, Spark, SQL, and Python to analyze datasets, test logic, or collaborate on experiments.
Identify data gaps, anomalies, misclassifications, and inconsistencies and resolve lead efforts to resolve them in systematic productized ways.
Design dataset versioning, historical tracking, backfills and controlled evolution over time.

We seek a motivated and experienced Affiliate Manager (B2C) to join our B2C marketing team. The ideal candidate will be responsible for developing and managing our affiliate marketing programs for our various B2C products, building strong relationships with partners, and driving growth through strategic initiatives. This role requires a proactive individual with a deep understanding of affiliate marketing strategies and a proven track record of delivering results
So, what will you be doing all day?
Develop and Manage Affiliate Programs: Create, implement, and oversee affiliate marketing strategies to increase traffic, leads, and revenue.
Recruit and Onboard Affiliates: Identify, approach, and onboard new affiliate partners that align with our various brands and business objectives.
Performance Analysis: Monitor and analyze affiliate performance metrics, generating reports and insights to inform strategic decisions and improve ROI.
Optimize Campaigns: Continuously assess and optimize affiliate campaigns for maximum effectiveness and profitability.
Collaborate with Internal Teams: Work closely with the marketing, management, and product teams to align affiliate strategies with overall company goals.
Stay Updated on Industry Trends: Keep abreast of the latest trends and best practices in affiliate marketing and incorporate relevant strategies into campaigns.

our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

we are seeking a motivated and organized Receptionist & Administrator to join our fast growing company, based in a new building in Givatayim. This position is a full time position, required coming to the office every day.
As a front desk receptionist, you will be the first point of contact for anyone who arrives at the office. You will answer phone calls and emails, work with courier companies and work with service providers and contractors.
This position is part of the Finance department!
What You'll Be Doing day to day:
Welcoming visitors, directing and announcing them appropriately
Manage planning and logistics associated with calendars, meetings and conference rooms
Respond to employee inquiries and office needs
Receive and sort daily mail/deliveries/couriers
Lead office and facilities maintenance
Serve as the main point of contact for vendors and manage ongoing communication with service providers.
Conduct regular cleaning audits and inspections to ensure the highest standards are met.
Oversee facility maintenance and coordinate repairs to ensure a safe and functional work environment.
Handle daily operations management to support seamless office logistics and employee experience
Support procurement by creating and managing purchase orders for facility expenses while ensuring all necessary approvals and documentation are in place.

We are looking for a senior, hands-on Product and Business Analyst to lead analytics within one of our core B2C app pods. This is not a reporting role. You will own the analytical direction of the pod, shape product decisions, and raise the bar on experimentation, rigor, and business impact.
You will work closely with Product, R&D, Monetization, and Marketing to drive onboarding, activation, retention, and revenue growth. The right candidate combines strong statistical depth with sharp business judgment and the ability to influence non-analytical stakeholders.
What You Will Own
Pod Performance Leadership
Own core product KPIs across onboarding, activation, engagement, retention, and monetization
Build and maintain a clear funnel view with defined breakpoints and drivers
Proactively identify risks and growth opportunities, not just respond to requests
Lead weekly and monthly business reviews with clear narratives and recommendations
Experimentation Excellence
Lead end-to-end A B testing lifecycle: hypothesis design, sizing, guardrails, analysis, and decision framing
Apply strong statistical thinking: power analysis, bias detection, novelty effects, false positives
Partner with PM and R&D to improve instrumentation and experiment quality
Ensure decisions are grounded in data and clearly translated into business tradeoffs
Data and Analytics Infrastructure
Work deeply with SQL across large datasets including DBT
Use Python for advanced analysis and experimentation workflows
Operate across Databricks, Redshift, AWS environments
Leverage Mixpanel and GrowthBook for behavioral analytics and experimentation
Build scalable Tableau assets that drive self-serve and reduce ad hoc noise
Define data quality standards in collaboration with Data Engineering
Stakeholder Influence and Cadence
Translate complex analyses into simple, actionable stories
Challenge vague assumptions and push for clarity in success metrics
Create structure and consistency in how the pod uses data
Raise the analytical standards across the team.

Were looking for an experienced Collections Specialist to join us in our Tel Aviv office.
Responsibilities:
Daily monitoring of accounts receivable
Follow up and engage with customers on outstanding payments and resolve any issues causing payment delays, negotiate payment arrangements and settlements
Resolve Invoice discrepancies and disputes
Work with the bookkeeping and accounting team to ensure accurate cash application is done in a timely manner and resolve unrecognized payments
Work closely with the sales and account management team to escalate issues and cooperate on outstanding payments
Process internal requests for address changes, completing customer vendor forms.