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This role is highly collaborative and requires work with multiple HW and SW teams to analyze and optimize HW and SW performance.

Perform system level analysis and simulation of imaging systems using Matlab and/or Python
Define and analyze lab characterization tests
Analyze large data sets from factory and / or field to gain insight into HW / SW performance and user behavior
Create and maintain specification documents and their ties to user experience on one hand and component specification on the other
Collaborate and drive cross functional teams
Manage project deliverables and schedules to meet commitments to other development teams

Coralogix AI is hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before.
As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability.
If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are seeking engineers with hands-on experience in developing and managing distributed systems and microservices in a production environment. The ideal candidate should have a solid background in infrastructure and operations.
The team builds high-throughput ingestion and processing pipelines, efficient storage on object stores, and systems for data governance, usage reporting, and routing data to multiple physical locations.
You will work on cloud-native, production systems written in Rust and Scala, operating at scale with Kafka, Postgres, Redis, and object storage, run on Kubernetes and operate in a multi-cloud environment.
Responsibilities:
Develop and operate distributed systems in production
Build Kafka-based ingestion and processing pipelines
Design systems for data governance, retention, deletion, and usage reporting
Work with Postgres and Redis, requiring solid database design and operational knowledge
Implement efficient persistence using column-oriented data formats and object storage

The worlds largest content recommendation platform, is hiring a Senior Performance Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale.
You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.
How youll make an impact:
Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
Monitor, troubleshoot and optimize performance for different types of client integrations and activities
Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues.

Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Machine Learning Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Machine Learning Engineer, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

We are seeking a highly experienced technical writer to join our team and take ownership of certain areas of the documentation.
documentation is a key part of the product journey. The way we communicate shapes how users experience our platform - our content adds clarity, character, and depth to everything we build. We aim to make complex ideas simple, support users as they onboard, and empower them to become experts. Great docs dont just explain; they inspire confidence and make users love the product.
Our team embraces AI tools to boost how we create and maintain content - from drafting smarter to spotting gaps we didnt see before. We're all about experimenting with intelligent tools to work faster and write better.
You'll be joining a group of writers who are passionate about technology, obsessed with clear communication, and always pushing for better. If you're excited about combining thoughtful writing with powerful tech, wed love to connect.

We are looking for a Senior Director, Head of Global Customer Success to lead our global Customer Success strategy and operations.
This is a global leadership role, in partnership with regional Customer Success leaders. Your mission will be to:
Standardize and scale our global customer success strategy, frameworks and operating model
Upgrade our account management practices to grow higher-value and more complex customers
Maintain the strengths of our SMB-at-scale operations
This role is ideal for a data-driven, strategic CS leader who thrives in global environments and has deep experience building structured success programs across regions.
What youll do
Define and lead our companys Global Customer Success strategy - balancing scalable SMB processes with more sophisticated account management practices for larger and more strategic customers.
Operate in a matrix leadership structure, partnering with regional CSM Heads to drive alignment, consistency, and execution excellence.
Design and own global KPI frameworks and reporting, including retention, NRR/GRR, product adoption, segmentation health metrics, and churn insights.
Implement global governance and operational discipline, including dashboards, QBR structures, success scorecards, and executive reporting.
Build scalable lifecycle programs - onboarding, adoption, expansion, renewals - tailored for SMBs while supporting the evolution toward mid-market / upper-SMB / light-enterprise customers.
Lead business analysis and performance optimization, identifying opportunities to improve impact, efficiency, segmentation, and engagement models.
Strengthening cross-functional alignment with Sales, Product, Risk, Operations, and Support to drive improved customer outcomes.
Champion Voice-of-Customer and data-driven insights, converting findings into actionable strategies and priorities.
Mentor and influence regional CS leadership, creating a collaborative global CS community.

we are seeking a highly motivated and analytical FP&A Manager to join our Finance team. In this role, you will be responsible for driving financial visibility and supporting strategic decision-making across the organization. You will lead budgeting, forecasting, financial analysis, and reporting processes, while partnering closely with cross-functional leaders to optimize performance, manage expenses, and support resource allocation.
This role requires strong ownership, the ability to manage and mentor team members, and hands-on experience working with budget owners across the company.
Key Responsibilities:
Planning & Forecasting: Lead the annual budget and rolling forecasts, ensuring alignment with company goals.
BvA Analysis & Budget Ownership: Own the monthly Budget vs. Actual (BvA) process and provide actionable variance analysis. Collaborate with different departments in the organization to drive efficiencies
Reporting & Analysis: Develop financial models, ad-hoc analysis and KPIs, to support business decisions and initiatives
Team Management: Manage, mentor and support FP&A team members, ensuring high-quality execution and professional development
Process Improvement: Continuously improve FP&A processes, streamline workflows, and enhance reporting accuracy and efficiency

Required Senior Backend Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Backend Engineer, youll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.
How youll make an impact:
As a Senior Backend Engineer, youll bring value by:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of thousands of requests per second
Work on innovative projects that are the next growth engines for us
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for managing RTB requests at scale
An algorithmic model to predict if a given Real-Time impression is valuable to us
A smart gateway that ingests hundreds of thousands of requests per second for a single instance
An A/B tests system to explore variations and experiments
And many more
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow.

We dont just build features; we build the engine. Our Money Movement Platform is the backbone of every client-facing product we launch. We are looking for a Senior Director of Product Management to take the wheel of this foundational powerhouse, reporting directly to the VP of Product. This isn't just a management role-its a craft-building mission to scale our infrastructure, our processes, and our people.
What Youll Do:
Architect the Product Craft: You will elevate the standard of platform product management, coaching Product Directors to balance technical debt with high-impact innovation.
Master the Delivery Lifecycle: Own the end-to-end execution of our core infrastructure, ensuring high uptime, predictable velocity, and elite performance metrics.
Scale the Operating System: Design and refine the methodologies that allow multiple product teams to stay aligned, transparent, and efficient.
Lead the Leaders: Directly manage and inspire a high-performing team of Product Directors and Principals, fostering a culture of ownership and technical excellence in the Fintech space.