דרושים » תוכנה » Production Analyst

we are looking for a Data Integration Engineer.
As a Data Integration Engineer , you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.
What You'll Be Doing:
Maintain/manage merchant data configuration layer of platform (automated data tagging, transformation, filtering, etc.)
Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
Perform due diligence on merchant websites, business models, and data flows
Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations.
Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to APIs
Ad hoc data wrangling and sanitization
Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
Work closely with analysts, research, and data science teams to accommodate changes in industry data
Identify, research, and offer system-wide solutions for common data issues
Work closely with client-facing teams to engage customers regarding their data integrations
Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of product, technology, and merchants

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

We are looking for a Data & Ops Analyst to join our fast-growing team. In this role, you will build the internal systems, automations, and integrations that power the companys analytical and operational workflows. You will play a key part in enabling our teams to move faster, make better decisions, and scale their impact - all while contributing to a mission that improves the lives of millions.
If you are highly motivated, detail-oriented, and eager to leverage technology to solve real problems, this role is for you. Youre a team player, open-minded and collaborative, and you know how to turn ideas into working solutions. You embrace ownership, move quickly, and are excited to help shape the systems that drive forward.
Responsibilities:
Design, build, and maintain internal tools, automations, and integrations that streamline workflows across data, legal, and operational teams.
Collaborate closely with analysts, product stakeholders, and legal data teams to understand their needs and translate them into scalable technical solutions.
Ensure system reliability, data integrity, and smooth information flow across internal platforms and APIs.
Develop backend logic and automation scripts that support high-quality, efficient internal applications.
Leverage AI tools and advanced prompting techniques to enhance automation, enrichment, and user experience.
Document system behavior, maintain internal tooling standards, and continuously improve performance, stability, and usability.
Stay up to date with emerging internal tools frameworks, automation practices, and AI-driven development approaches to keep operating at the cutting edge.

We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.

Join our team as a Data Analyst and become part of our expert team, specializing in processing high-quality geographic data, databases, and layers to drive innovative solutions in the GIS world. Dive into technical research, automated process development, and critical decision-making to revolutionize real-time infrastructure data accessibility.



Responsibilities

Process and analyze geographic data, databases, and tabular data with a focus on high-quality outputs.
Conduct technical research, assess the relevance and quality of geographic data layers, and make informed decisions regarding their usability.
Contribute to the development of broader automated processes aimed at enhancing data analysis capabilities.
Design tools for statistical analysis and automation to improve efficiency and accuracy in handling geographic data.
Utilize expertise in GIS and mapping to interpret and manipulate geographic data effectively.
Collaborate with team members to ensure the accuracy and relevance of geospatial information for real-time data product features.

About the Company: XM Cyber is a leader in Cybersecurity, empowering the world’s most secure organizations to stay ahead of evolving threats. Our platform safely simulates advanced adversary techniques, providing critical insights into how business assets might be compromised. By identifying security gaps in real-time, we help our customers determine the most effective mitigation strategies to stay resilient against attacks.
We are seeking a highly motivated and detail-oriented Solutions Developer to join our Technical Enablement & Services group. In this role, you will be at the heart of our technical delivery - developing custom integrations and building bespoke solutions for both internal teams and global customers. You will participate in the full development lifecycle, from initial design to deployment, in an environment that prioritizes continuous learning and technical excellence. We value candidates who are agile learners, excel in collaborative team environments, and are passionate about the intersection of software development and cybersecurity.
Key Responsibilities Development : Assist the team in all phases of the Solutions Development, from initial design to coding and deployment. Solution Design : Contribute to the creation of innovative, end-to-end technical solutions that meet business needs. Continuous Learning : Proactively learn the required technologies, frameworks, and domain-specific topics. Documentation : Create and maintain clear technical documentation for APIs, system architectures, and workflows. Workflow Management : Actively participate in a JIRA-driven environment, ensuring tasks are updated and progress is transparent.
Requirements: Magshimim / Mamriot program trainee or equivalent independent Cybersecurity development experience System Environments : Experience working with Linux and Windows operating systems. Scripting & Automation : Strong proficiency in Python and Bash (essential). Web Technologies : Basic experience with Node.js, React, Nginx. HTML, JS, CSS - advantage. API Development: Basic understanding of REST API standards and experience building API-based integrations. Cloud-native Environment : Knowledge of Kubernetes and Containerization concepts. Exposure to at least one major Cloud provider (AWS, GCP, or Azure). Databases : Experience with SQL and NoSQL databases (considered a significant advantage).
Soft Skills & Qualifications Experience : Approximately 2 years of practical experience in software development or a related technical role. Analytical Thinking : Strong problem-solving skills and the ability to interpret complex technical requirements. Communication : Fluent English. Mindset : Highly self-motivated, detail-oriented, and eager to take ownership of tasks in a fast-paced environment.

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.



What Youll Do:

Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailormade solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

We are looking for Senior Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team.
This position is based out of our Jerusalem or Tel-Aviv offices and reports to the Dev Team Lead.
What you will be responsible for
Write clean, high-quality, high-performance, maintainable code.
Ensure that the projects you work on meet business objectives and coding standards.
Support the deployment and testing of new products and features.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
Design and implement APIs and integrations with third-party services to enhance system functionality.
Optimize application performance through code profiling, monitoring, and refactoring as necessary.
Implement automated testing frameworks to ensure code robustness and reliability.
Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
Assist in the establishment and enforcement of development standards and coding conventions.

We are s looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We are looking for a hands-on, proactive DBA to join our growing SASE R&D DevOps group. As our dedicated Database Administrator, you will own the operational and performance aspects of our database stack and work closely with R&D engineers, SREs, and QA to ensure our data layer is resilient, efficient, secure, and scales with our business.

This is not a siloed infrastructure-only role - you will partner deeply with developers from design to production, provide input on data modeling and query optimization, and ensure best practices across the board, from schema design to observability, disaster recovery, and upgrades.

We are in a period of hyper-growth - both in terms of customer adoption and engineering scale. This brings exciting challenges in performance, scalability, cost-efficiency, and reliability. Youll play a key role in shaping how our data infrastructure supports this scale and future-proofs our platform.

Key Responsibilities
Own and operate production and pre-production databases, including:
MongoDB (Atlas)
Redis (AWS ElastiCache Valkey)
RabbitMQ (EC2-based cluster)
Additional databases as our platform evolves
Work closely with developers to optimize data models, indexes, and queries across the SDLC (design, QA, staging, production).
Partner with SREs to ensure high availability (99.99% uptime), disaster recovery, monitoring, and performance tuning.
Plan and execute schema changes, index strategies, and database version upgrades with zero or minimal downtime.
Set up and enforce backup, restore, and retention policies aligned with compliance and availability needs.
Implement and maintain observability tools and alerting for the data infrastructure.
Lead cost optimization of all data services - rightsizing, usage analysis, cleanup, and architecture alignment.
Troubleshoot and resolve data-related incidents; participate in on-call rotations and post-mortems as needed.