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You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

You will work closely with other developers and our data team in order to build a complex system that handles massive amounts of data.

Responsibilities
Solve core and crucial problems affecting the infrastructure of the R&D.
Build the next-generation analytics solution
Lead the full development cycle from planning to implementation and deployment to production of complex features
Learn about new technologies, design patterns and try to implement them in the R&D day to day job.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

A part of the POC GROWING TEAM- This role will have a substantial impact on the company's future. It will involve managing the integration process with the data warehouses of some of the world's largest brands. This includes:

Mapping the different data sources to connect to (based on dozens of data sources Loops connects to).
Modelling the data in platform, based on the business context and the customers KPIs.
Building a deep understanding of Loops models and analyses to analyze them and debug problems.
Building and defining tools to automate and improve the integration process (scripts to automated data discovery, data pipeline, validation scripts, etc)
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Responsibilities
This is not a classic product analyst role:

Data is the underlying asset of our vision. You will directly impact the core value of the product, which is already used by major brands.
Youll be prioritizing and designing product features (not dashboards), yet you will also work closely with our customers to understand how data is leveraged to make decisions, learn which insights are valued, etc. This wide perspective will put you in a key position to shape the strategy of the growing product, and define its KPIs.
Model data within the platform based on business context and customer KPIs to deliver growth insights. This includes building and defining tools to automate and enhance the integration process, such as scripts for automated data discovery, data pipelines, and validation.
As part of the pre-sales department, you'll lead PoCs with top global companies. This diverse, fast-paced role offers exciting opportunities to work with various industries and make a significant impact. You play a key role in bridging customer needs to our solutions.
If youre interested, you will also have the opportunity of diving into the world of ML led by our excellent Data Science team, taking an active part in structuring the models which run behind our products engine.

we are seeking a Vice President, Global Project Delivery to lead and continuously evolve our global, end-to-end project delivery ecosystem across all regions and delivery models.
This executive role is accountable for defining and governing our companys delivery methodologies, standards, tools, and professional practices, ensuring consistent, high-quality execution worldwide.
While the role does not hold end-to-end accountability for individual customer projects, it is fully accountable for the maturity, scalability, and effectiveness of our companys global delivery capability.
Scope of Delivery
The role covers end-to-end customer solution delivery, including:
Complex HW + SW solutions, network elements, systems integration, and field deployment
Multi-site, multi-country delivery programs involving manufacturing, logistics, installation, integration, and customer acceptance
Delivery models spanning direct, partner-led, and hybrid approaches
Pure software-only delivery backgrounds are not considered sufficient for this role. Proven experience delivering complex technology solutions that combine hardware, software, and services is required.
Key Responsibilities
Own and continuously evolve our companys global project delivery methodologies and lifecycle frameworks
Define and govern delivery standards, tools, KPIs, and reporting models across all regions
Lead global delivery governance, maturity, and best-practice forums
Drive consistent adoption of delivery practices and professional standards across regions and delivery teams
Identify systemic delivery risks and lead cross-regional improvement initiatives
Partner closely with Regions, Product, Operations, Sales, and Support functions to strengthen execution
Serve as our companys senior authority on delivery standards, governance, and delivery professionalism.

We are seeking an Engineering Manager for Cloud Security Product Group.

We're extending our mission of "stopping breaches" into the public cloud and cloud-native workloads. Our product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment.

This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, our endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.

This role is hybrid, on-site at TLV office. Candidates should be comfortable visiting the office at least 3 times a week.


What You'll Do:

Lead, mentor and grow a team of backend engineers, driving product vision and roadmap while remaining hands-on with code and architecture.

Lead backend engineering efforts from rapid prototypes to large-scale applications across our products.

Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale.

Balance hands-on technical contributions with people management responsibilities.

Brainstorm, define and build collaboratively with members across multiple teams.

Drive technical direction and make architectural decisions for the team.

Work in a startup-like environment with a small fast-moving team.

Mentor and be mentored by other developers on backend, and data storage technologies and our system.

Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.

Be given the autonomy to own your work in a high trust environment.