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Required Product Manager - In-App
The Amplify team is poised to rapidly innovate and use automation to empower customers like no other time in its history.
This is a unique opportunity to join a high performing team that will shape how we scale the Amplify platform.
Within Amplify, In-App is a scope that can cover a wide portfolio of projects that aim to focus on bringing in new business/product opportunities to advertisers.
The focus will be to enable customers to reach audiences in new ways, including a renewed focus on In-App formats and opportunities.
About the opportunity:
You would be the PM who works within the following product areas to drive new budget growth:
In-App
CPI optimization, creative formats, and integrations
AI Optimization - assemble creatives on behalf of advertisers and optimize their delivery to increase performance. Opportunities include:
Dynamic Creative Optimization
AI driven content creation suite
Predictive performance insights
Possible integrations with external AI platforms
Automatic campaign creation with dynamic set up recommendations.
Automated campaign generation
Performance alerts and recommendations to drive performance and scale.
What will you do?
Work closely with business, marketing, and advertisers to understand advertiser needs and to develop product requirements.
Work with the team to develop and champion product vision and strategy for the Campaign Automation product areas.
Work with product managers, engineers, data scientists, product designers, marketing, sales and a wider set of cross-functional partners to design, implement, and launch delightful products that improve business performance.

We are seeking a dynamic and driven Program Manager to lead complex, high-impact programs at the intersection of cutting-edge technology and the defense sector. This role is an opportunity to shape mission-critical solutions, work closely with clients, and drive execution excellence in one of the most innovative fields today.
Responsibilities
Lead programs end-to-end: from initiation through delivery-ensuring excellence in quality, timelines, and budget control
Operate in a fast-paced matrix environment, collaborating seamlessly across internal teams to achieve shared objectives
Act as the primary point of contact for clients and stakeholders, building trust and ensuring expectations are not only met but consistently exceeded
Identify and capture new business opportunities within ongoing programs, contributing to overall program success
Ensure strict compliance with industry standards, regulations, and security protocols at all times .

Lead the engineering definition and architecture of the companys systems, bridging between different development domains and ensuring compliance with customer requirements and performance goals.
This role requires a broad system-level perspective alongside hands-on engineering involvement. It is suited for an experienced candidate who can work across disciplines and lead complex engineering processes in a hands-on approach.
Responsibilities:
Define system requirements and architecture for the companys systems
Lead engineering decisions and perform trade-offs between different disciplines
Hands-on engineering involvement with development teams and support implementation of engineering solutions
Coordinate and integrate between electronics, software, mechanics, and algorithm teams
Technical management of system subcontractors
Write requirements and architecture documents
Write test and validation plans
Support integration processes and system testing
Analyze system performance and identify bottlenecks
Solve complex system issues throughout the product lifecycle.

We are looking for a senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across our global publisher network.
What will you bring to the team?
Experience in Statistics (i.e. statistical analysis, regression analysis, ) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, ).
An appetite for Data Science applied to high-volumetry, low-latency topics.
Ability to read scientific articles, to analyze critically, and to implement as appropriate.
Good programming abilities.
True scientist skills: fast learner, curious, sense of details, rigorous.
Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience of complicated topics.
Strong problem solving skills, and deducing from specific problems wider range products.
You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.

Required Senior DevOps Engineer
Our main Engineering challenges
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
Build the Core Platforms That serves hundreds Engineers
Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.
We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.
We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling, and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team. In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads, including data ingestion and preprocessing pipelines, model training infrastructure, efficient inference systems, and automated experiment tracking.
Key Responsibilities
Design, implement, and optimize deep learning models and pipelines for signal and image analysis.
Build and maintain AI infrastructure components to support model training, versioning, monitoring, and deployment.
Develop scalable data processing pipelines for datasets, including ingestion, labeling, augmentation, and preprocessing at scale.
Implement automated training workflows using tools such as ClearML or other experiment tracking platforms, ensuring reproducibility and model governance.
Collaborate with system engineers to integrate AI models into real-time radar systems and ensure efficient inference performance.
Optimize distributed training and resource utilization.
Run performance tuning, testing, and benchmarking for both training and inference workloads.
Document infrastructure components, training procedures, and model lifecycle processes.

Were looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.
Key Responsibilities
Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
Edge Optimization: Port and optimize models for Edge Deployment.
Data Reliability: Build tools for automated data collection in changing environments.
Skills: Problem Solver, Team Player.

We are looking for a Systems Engineer to support the development, testing, and validation of a multi-sensor system. The role is hands-on and execution-focused, with strong involvement in field tests, lab work, and system-level integration.
Key Responsibilities
Plan and execute lab and field tests for complex sensor-based systems
Work closely with software, algorithm, and hardware teams during development and testing
Support system integration, bring-up, and troubleshooting
Collect, analyze, and validate system data from tests and experiments
Maintain clear system documentation, test procedures, and reports
Manage and support ICDs and system configurations
Participate in customer demonstrations and internal technical reviews.

Were building a unique agent-based AI system for engineering domains - and were looking for a sharp Python Developer who learns fast and wants to build real AI systems in production (not just prototypes).
At our company, we operate at the intersection of advanced signal processing and AI innovation, delivering cutting-edge technological solutions within secure, mission-critical environments.
What Youll Do
Develop backend components for an AI system based on LLMs and AI agents
Implement efficient algorithms and scalable data processing workflows
Collaborate with AI researchers to integrate state-of-the-art models
Optimize performance for real-time, high-throughput systems.

Were looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.
Key Responsibilities
Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
Edge Optimization: Port and optimize models for Edge Deployment.
Data Reliability: Build tools for automated data collection in changing environments.
Skills: Problem Solver, Team Player.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.