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We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building Sentras multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.


Responsibilities
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Datasources APIs in order to develop connectors and perform efficient data scanning.Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

We are looking for a Senior Data & Machine Learning Engineer to operate at the intersection of data platform engineering and machine learning enablement. This role is responsible for building scalable, efficient, and reliable data systems while enabling Data Science and Analytics teams to develop and deploy ML-driven features.

You will take ownership of the data and ML infrastructure layer, ensuring that pipelines, storage models, and compute usage are optimized, while also shaping how data workflows and ML solutions are designed across the organization.


Responsibilities
Data Platform & Infrastructure

Design, build, and maintain scalable data pipelines and storage systems supporting analytics and ML use cases
Ensure compute and cost efficiency across pipelines, storage models, and processing workflows
Own and improve data orchestration, transformation, and serving layers (e.g., Spark, DBT, streaming/batch systems)
Build and maintain shared infrastructure components, including:
IO managers and data access abstractions
Integrations with DBT, Spark, and other data frameworks
Internal tooling to improve developer productivity and reliability
ML Enablement & Collaboration

Partner closely with Data Science to design and productions ML solutions for new features and research initiatives
Translate experimental models into robust, scalable production systems
Support feature engineering, training pipelines, and inference workflows
Help define best practices for ML lifecycle management (training, validation, deployment, monitoring)
Data Quality, Governance & Best Practices

Enforce best practices for building and maintaining data processes across Data Analyst and Data Science teams
Define standards for:
Data modeling and transformations
Pipeline reliability and observability
Testing, versioning, and documentation
Improve data quality, consistency, and discoverability across the organization
Performance & Reliability

Optimize systems for performance, scalability, and cost efficiency
Monitor and troubleshoot data pipelines and ML systems in production
Implement observability (logging, metrics, alerting) across data workflows

We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, youll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.


Responsibilities
Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
Raise the Bar - Inspire and guide the team to achieve excellence in software engineering, consistently setting high standards for outstanding delivery.
Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.

As a Site Operations Associate, you will own the day-to-day operations of our Tel Aviv office. Based full-time at the front desk, youll serve as the central point of contact, ensuring a seamless and high-quality office experience.
This is a hands-on, independent role where youll balance front-desk responsibilities with operational and administrative tasks, including vendor management, budgeting, and cross-functional coordination.
Were looking for someone highly organized, proactive, and detail-oriented, who can take full ownership and keep the office running smoothly and efficiently.
What Youll Do:
End-to-End Office Management: Own the daily operations of the Tel Aviv site, including front-desk management, inventory, maintenance, and serving as the primary address for all office-related needs.
Budget & Financial Ops: Manage the office budget with precision. You will work closely with the Finance department, overseeing invoices, tracking expenses, and ensuring cost-effective procurement.
Operational Excellence: Maintain and improve administrative best practices. Youll be the bridge between Finance, Legal, HR, and IT to ensure the office infrastructure supports our growth.
Vendor & Supply Chain Management: Negotiate with and manage external suppliers to ensure high-quality service and operational efficiency.
Employee Experience Execution: Lead the logistics and execution of company events and holiday celebrations.