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As a Product Manager , you will define how next-generation AI workloads interact with high-performance storage and networking systems.

This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.

Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.

What You'll Do

Define and execute product strategy for platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges

As Senior Manager in the development organization, youll need to combine leadership, team building, technological problem solving, direct and matrix management, risk management, and career development of direct response to empower our most valuable asset - our engineers.

As a Senior Manager, youll:

Leading 2 squads in the protocols domains (S3, NFS, SMB) located in Israel and the US, whose mandate is mainly on the datapath aspects of the stacks, but not just.
Leading experienced developers, accountable for both development and quality aspects.
Grow the team and team leaders, and manage the career development of team members.
Be a direct address for everything related to teams activities and members.
Work closely with program management, product management, and other technical managers to lead the teams deliverables from planning to release.
Engage with PM and field teams to understand the requirements, pains, and what is required to move the needle.
Build and maintain the technical debt backlog and promote it into ongoing releases.
Assume nothing - constantly revisit how we work and whether our productivity is perfectly tuned.
Provide transparent progress and risk analysis.
Promote and participate in beautiful designs, efficient code, and collaborative code reviews.
Own and promote quality in every part of the deliveries and activities.
Be a manager - recruit, nurture, and manage retention.
Be a mentor - provide ongoing feedback, both good and constructive.
Be a leader - demonstrate a can-do attitude, and promote company goals.

You will be responsible for building the "brain" of Wekas main product, which is a distributed file system -the layer that manages orchestration, metadata, cluster membership, and implements complex logic required to manage hundreds of thousands of nodes, for cluster scaling, automated failover, zero-downtime rolling upgrades and "self-healing" to detect and remediate hardware failures or network partitions.

Design, implement, unit test, and maintain services that coordinate and the cluster
Optimize Performance: Work with complex data structures like spanning trees or LSM-Trees, concurrency control mechanisms (MVCC) to improve speed and efficiency.
Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.

As a Senior Software Engineer, youll:

Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

As a Senior Software Engineer, you'll be an integral part of our Platform Group-a hands-on team of seasoned engineers responsible for building and optimizing the critical low-level components that power our infrastructure. This includes the networking stack, storage systems, task scheduling framework, and other foundational systems.

As a Senior Software Engineer, youll:

Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

We are looking for a Software Engineer in Test Team Lead - to lead a team of highly skilled Automation Engineers responsible for ensuring the quality, stability, and scalability of distributed storage platform.
This is a hands-on leadership role for an experienced engineering leader who is passionate about building high-quality automation infrastructure, mentoring engineers, and driving technical excellence. You will combine people leadership with deep technical involvement, working closely with Software Engineers, Architects, Product Managers, and Customer Engineering teams to continuously improve product quality across complex distributed systems and build the infrastructure that challenges platform to its theoretical limits.

Responsibilities

Lead, mentor, and grow a team of Automation Engineers, fostering technical excellence, ownership, and collaboration.
Remain hands-on by actively designing, developing, and reviewing Python-based automation frameworks, tools, and system tests.
Define and execute the team's automation strategy, ensuring broad and scalable test coverage across new and existing product capabilities.
Drive the design and implementation of automation infrastructure for large-scale distributed environments.
Collaborate closely with R&D, Product Management, and Architecture teams throughout the development lifecycle.
Lead technical investigations, root cause analysis, and quality improvements for complex distributed system issues.
Continuously improve automation methodologies, development processes, and engineering best practices.
Support release readiness by ensuring product quality, stability, performance, and reliability.
Coach team members through technical guidance, code reviews, career development, and day-to-day leadership.

As Team Lead in the Control Group, youll need to combine team leadership, team building, technological problem solving, direct and matrix management, risk management, and career development of direct response to empower our most valuable asset - our engineers.

As a Team Lead, youll:

Grow the teams and manage the career development of team members.
Be a direct address for everything related to team activities and members.
Own knowledge domains within the product's control plane
Lead the design and architecture of critical features in the product
Take initiatives within the group to improve our products, you will be very encouraged to invent new ideas
Work closely with product management to prioritize work items and understand their business value
Assume nothing - constantly revisit how we work and whether our productivity is perfectly tuned.
Promote and participate in beautiful designs, efficient code, and collaborative code reviews.
Own and promote quality in every part of the teams deliveries and activities.
Be a manager - recruit, nurture and manage the retention of team members.
Be a mentor - provide ongoing feedback, both good and constructive
Be a leader - demonstrate a can-do attitude, and promote company goals.

We're looking for a backend Software Engineer to join our GeoTech team as a key contributor. In this role, you'll help process and structure all data coming into our product, execute data pipelines, and maintain data quality. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.





Key Responsibilities

Lead the design and implementation of software solutions, ensuring alignment with project goals and objectives.
Provide technical guidance to team members, fostering a collaborative and supportive team culture.
Collaborate with cross-functional teams, including product managers, designers and QA engineers, to deliver high-quality software products.
Design and implement CI/CD processes for data processing, releasing, testing and monitoring, ensuring robustness and consistency.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Develop and optimize complex Python-based applications and services to allow more efficient data processing capabilities, enhancing quality and accuracy of our data.
Conduct technical reviews of third-party tools, frameworks and technologies.
Identify technical debt and areas for improvement, implementing solutions to enhance code quality and maintainability.
implement technologies, industry trends and software development methodologies.

We're seeking an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.





Responsibilities



Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.
Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.

We are looking for a Staff Algorithm Engineer to join our core Algorithm team
What You'll Do



Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.

As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

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 Teads 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 Teads global publisher network.

Join us as a Senior Software Engineer on our engineering team in Israel to do the best work of your career and make a profound social impact.

We work in an AI-native development environment, applying Spec-Driven Development (SDD) and clear engineering governance to deliver complex software with both speed and quality.



Key Responsibilities

As a Senior Software Engineer, you will:

Design, develop, and own Storage Infrastructure and Control Path features for enterprise storage expansion, from requirements and specification through implementation, testing, and long-term support

Build and maintain Python microservices using FastAPI, Pydantic, and async/await patterns

Design and implement storage infrastructure services that support system-level discovery, provisioning, and lifecycle management

Author and maintain detailed specifications as part of a Spec-Driven Development (SDD) process

Build AI agents and automated workflows, leveraging Agentic AI to accelerate development, testing, and code generation