לוח משרות דרושים

We are seeking a results-oriented Senior Media Partnerships Manager with B2B and B2C experience, exceptional relationship management skills, and a strategic mindset.
You will play a critical role in managing our existing marketing partners, fostering strong relationships, and identifying opportunities to grow our business through strategic collaborations. You will also be responsible for optimizing the efficiency of existing partnerships, maximizing revenue potential, and managing the associated budget.
In this role you'll:
Manage and nurture relationships with our existing marketing partners, acting as the main point of contact and fostering strong, long-lasting partnerships
Identify opportunities to expand and grow our business with current partners, working closely with them to develop joint marketing campaigns, co-branded initiatives, and other collaborative activities
Research, recruit, and onboard new partners into the partnerships portfolio.
Conduct regular business reviews with partners, analyzing performance metrics, identifying areas for improvement, and implementing strategies to optimize the effectiveness of our partnerships
Collaborate with cross-functional teams to align partnership activities with overall business goals and objectives
Track and report on partnership performance to senior management, summarizing revenue generated, customer acquisition metrics, and ROI
Manage the budget allocated for partnership activities, ensuring efficient allocation of resources and maximizing ROI
Stay up-to-date with industry trends, market dynamics, and competitor activities in the partnerships space, identifying new potential partners and emerging opportunities.

Required Android Security Researcher
Position Overview:
As a talented researcher, you will be joining the industrys leading digital intelligence Security Research Labs group. In this position you will be taking part and leading new projects in little-explored vulnerability research territories, producing world-unique capabilities to extract evidence from phones and other embedded devices. Recent phones (from burner phones to the latest flagships) are increasingly challenging from a forensics perspective, and involve hardware-backed encryption (FDE/FBE), secure boot chains (Verified Boot/dm-verity), evolving hardened SELinux policies, as well as adventures in ARM TrustZone secure worlds.
Key Responsibilities:
You will join our digital intelligence Security Research Labs Group and be a part of a team of passionate researchers, dedicated to solving modern digital intelligence challenges, years ahead of others in the industry. Our world-class research results assist law enforcement by enabling lawful evidence extraction, and putting criminals behind bars, every day.
You are a security researcher who cares about the ethical use case for his/her work, and if the art of engineering and crafting a platform-wide native payload in a fragmented ecosystem of gaping variance is the kind of challenge you appreciate, you belong with us. We need your help to make the world a safer place.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.
You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering - bringing models to life in production, optimizing for performance, and building reliable systems - this role is for you!
Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models.

We are looking for an experienced and visionary Data Platform Engineer to help design, build and scale our BI platform from the ground up.
In this role, you will be responsible for building the foundations of our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics, ML models and business insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy architecting from scratch, turning raw data into powerful insights, and owning the full data lifecycle - this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability and security.
Lead the design and architecture of the data platform - from integration to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, dbt, Databricks, Power BI, and streaming platforms.
Collaborate cross-functionally with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.