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we are looking for a Customer Support Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market." - Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Summary
We are seeking a proactive and detail-oriented Customer Success Automation Engineer to join our growing team. The ideal candidate will have a strong technical background combined with a passion for enhancing customer experience through automation. This role will focus on developing and implementing automated solutions to streamline customer success processes, improve efficiency, and drive customer satisfaction.
Key Responsibilities
Develop and Implement Automation Solutions: Design, develop, and deploy automated workflows to optimize customer success operations.
Process Improvement: Identify opportunities for automation within customer success processes and implement solutions to improve efficiency and customer satisfaction.
Technical Support: Provide technical expertise and support to the customer success team in utilizing automation tools and systems.
Data Analysis: Analyze customer data to identify trends, patterns, and areas for improvement. Use data insights to drive automation strategies.
Collaboration: Work closely with cross-functional teams, including Customer Success, Product, and Engineering, to understand customer needs and develop appropriate automated solutions.
Documentation: Create and maintain documentation for all automation processes and workflows.
Training and Support: Train and support customer success team members on new automation tools and processes.

we are looking for an experienced HW Board Design Engineer to join the IC Product Engineering HW team and to lead the design and execution of test boards for IC products. our company Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.
What you'll be doing:
Full responsibility for electrical specification, schematic design, components selection and layout considerations
Extensive lab bring-up and debugging until the testing platform efficiently implemented in the Production floor
Work with multiple R&D and Production groups: Mechanics, Signal Integrity, Layout, DFT, Firmware and Testing
Work with the most advantage ATE product in the market - UF Tester & Prober - wafer sort products.

We are looking for a Content Evaluator.
As a content evaluator, you will use your insights about human linguistic knowledge and usage to identify systematic patterns in AI generated language data.
This part time WFH/Hybrid position is perfect for excellent linguistic/language sciences students who wish to learn about how language models are trained and contribute to the advancement of generative AI. Your day to day responsibilities include reviewing and identifying content related performance in a variety of diverse data sets, representing interesting and complex use cases of human linguistic abilities.
You will be an integral part of the vibrant, multidisciplinary and impact oriented community of Labs and make an invaluable contribution to the quality of our amazing products and language models.
Role and Responsibilities:
Examine complex linguistic input-output relationships and analyze their nature in relation to an ideal human performance
Notice and document patterns of erroneous behavior of language models
Diligently report progress and deliver results according to company priority

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

We are looking for a Corporate Global Controller.
Responsibilities:
Responsible for the Closing process of the reporting periods (monthly, quarterly, and annually) under the US GAAP.
Manage controls over the financial reporting process.
Monitoring and reviewing the accuracy of financial data.
Assist in Preparing the annual tax reports.
Communicating with the audit firm.
Verifying proper implementation of the company's processes and policies.
Assist in documentation and SOX compliance.
Being involved in cross-company projects and supporting the regional accounting teams.

Coralogix is looking for a strategic, experienced, and hands-on Total Rewards and People Operations Director to join our global People team. In this role, you will lead the design and execution of our global compensation, benefits, and people operations programs.
You will shape the way we reward, recognize, and support our employees across multiple geographies while ensuring fairness, compliance, and operational excellence.
Key Responsibilities:
Total Rewards (Compensation & Benefits):
Design and manage our global total rewards strategy including base salary, bonus structures, and equity programs
Build and implement long-term incentive plans (LTI/Equity) including options, grants, and global equity policies by level, performance, and seniority
Lead global compensation governance across multiple countries with an understanding of local regulations (bonus taxation, labor laws, pension, insurances, time-off policies)
Partner with payroll vendors and legal/tax consultants to ensure compliant and efficient execution of reward programs
Conduct ongoing compensation benchmarking (Radford, Option Impact, etc.) and market analysis to ensure competitiveness
Own budgeting and HC planning in partnership with Finance, including headcount forecasting and salary modeling
Design and manage annual/quarterly bonus programs and equity grant cycle
Build organizational leveling structures: job definitions, compensation bands, promotion pathways
Ensure pay equity and internal fairness across all departments and regions
Provide analytical and strategic support to managers regarding compensation decisions, promotions, and transparency
Lead mobility and relocation processes, including policy design, vendor management, and cross-border compliance

We are looking for a Backend Team Lead to manage and grow a team of backend engineers in our Alerting group. The Alerting backend powers real-time, streaming-based detection at massive scale, processing millions of events per second with millisecond latency to catch issues as they happen. Built with a distributed, event-driven architecture, it supports complex pattern evaluation, dynamic enrichment, and fault-tolerant delivery for mission-critical observability.
Our Stack:
Scala (ZIO)
Kafka Streams / Akka Streams
Kafka
Elasticsearch, Redis
Kubernetes
AWS
What Youll Do:
Lead and mentor a team of backend engineers working on mission-critical alerting infrastructure.
Be accountable for the teams execution, code quality, and technical innovation.
Guide the teams technical direction, architecture, and system design for distributed stream processing.
Collaborate closely with Product Managers and Engineering stakeholders to define scope, align priorities, and ensure timely delivery.
Manage engineering trade-offs, risks, and technical debt to maintain product and team velocity.
Drive clear prioritization of work across technical improvements, feature development, and production maintenance.
Support career development through regular feedback, goal setting, and performance reviews.
Foster a culture of ownership, excellence, and continuous learning.