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we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
As our new Senior Software Engineer, youll be joining the Platform group. This group of highly-experienced and detail-oriented engineers proudly owns the network stack, storage stack, task scheduling infrastructure and more.
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 architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What you'll be doing:
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 company 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.

Were looking for Inbound Sales Development Representative - English speaker to nurture relationships with inbound prospects from our free product, and turn them into qualified leads for our sales pipeline.
This role will report to our MIR Team Manager.
Why is this role so important?
We receive thousands of inbound leads through our free product, and many of them dont yet know the value our marketing intelligence product can bring to their company.
As an MIR, you will be the first touchpoint for these new prospects, proving to them the value by sharing relevant insights from our data.
The relationships you build, and the meetings you are able to create for the sales organization, will have a direct impact on our sales pipeline.
This is your chance to launch your hi-tech career in a supportive environment, and provide real value to companies all around the world, from many different industries and verticals.

we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
As a Senior Software Engineer, youll:
You will be responsible for building the "brain" of our companys 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.

Were looking for a strategic, hands-on Product Marketing Manager to lead the marketing strategy for fastest-growing solution. This role sits at the center of VPs, Product, Sales, and Marketing - owning messaging, product launches, PLG funnels, pipeline impact, and sales enablement across core industries.
Youll act as the CMO for App Intelligence, shaping how its positioned both externally and internally, and directly influence ARR (revenue) by leading marketing that drives new business, upsell, and cross-sell.
So, what will you be doing all day?
Cross-functional leadership: Operate at the intersection and build strong relationships with Solution VP, Head of Solution, Product, GTM, and Marketing teams (campaigns, operations, Demand Gen, etc).
Product launches: Orchestrate the release of new features across industries and personas, from messaging and packaging to campaign strategy.
PLG funnel optimization: Optimize lead gen via website pages, free tools, PPC, outbound campaigns and trial funnels, driving conversions and sales meetings.
Positioning & messaging: Craft competitive value propositions and translate product features into benefit-driven use cases for buyers and customer-facing teams.
Sales enablement: Equip sales with training, decks, battlecards, and competitive positioning.

we are architecting a new approach to the enterprise data stack built for the AI era. The company Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
Staff Engineer, Core Infrastructures: Key Responsibilities
The Staff Engineer for Core Infrastructures, part of our company's Core group, is a hands-on technical leadership role vital to the reliability, performance, and overall quality of our distributed data platform. This position involves direct contributions to, and technical guidance for, the team focused on developing and maintaining essential internal tools (for testing, debugging, and development) and the core build infrastructure.
Core Responsibilities:
Lead Build and Development Infrastructure Evolution: Spearhead the design, development, and adoption of our company's next-generation build system to significantly enhance developer experience and velocity. This includes improving workflows, unit/component testing, and debug/instrumentation tools.
Boost Cross-Organizational Efficiency: Collaborate closely with DevOps, QA, and development teams to ensure a unified approach that maximizes overall quality and efficiency across the engineering lifecycle.
Integrate AI for Scale: Scale the development environment by incorporating AI-driven solutions for automated test generation, intelligent workload synthesis, and proactive anomaly detection.
Technical Leadership & Mentorship: Lead global development efforts (Israel and Europe) while maintaining a strong hands-on involvement (at least 60% of time spent on development). Act as a key influencer and mentor, cultivating a high-velocity, efficiency-focused engineering culture across teams.

Required Client Solutions Manager, Gaming - Global Business Solutions
Responsibilities
Team Intro:
Our Gaming Team aims to help gaming publishers unleash their creative side, connect with our audience, and drive revenue and growth. You will be part of a high performing team of Brand and Performance Partnerships Managers and Client Solution Managers covering the Gaming industry.
As a Client Solutions Manager, you will collaborate cross-functionally with teams across the organization to support leading advertisers from diverse industries, with a primary focus on paid user acquisition. You will serve as a trusted advocate, connecting key stakeholders, providing inspiration and insights, and driving collaboration that fosters long-term client partnerships and growth. You will oversee day-to-day client relationships and ensure the success of advertiser investments. As a proactive partner, youll identify opportunities and offer solutions that exceed client expectations, securing future investments.
Responsibilities
- Manage and grow post-sale client relationships of auction ads offerings by monitoring and analyzing ad campaigns, and proactively take initiative to improve results.
- Proficient in campaign management, setting up and optimization.
- Analyze campaign performance data to offer clients data-driven business insights, at the same time use those insights to improve our advertising offerings.
- Establish long-term relationships with key clients and make sure their business needs are taken care of by cross-functional team.
- Drive education on product and company updates, and share company best practices as relevant to clients or agencies' business.
- Share marketplace feedback and guide our advertising strategy;
- Conduct regular business reviews and take a consultative, long-term approach to build productive relationships with clients, in collaboration with the sales team;
- Investigate and work directly with product & engineering teams to help them troubleshoot client issues during a campaign.
- Responsible for improvement of product feature adoption and consistently drive the product improvement from market feedback.
- Be instrumental in our external narrative in the market.
- Collaborate cross functionally to ensure improvement for product, process and client relationships.
- Analyze campaign performance to constantly give feedback on optimised media solutions.

Were looking for a Social Media Manager (B2C) to scale the audience and revenue of multiple cross-platform products. This role will report to Team Lead Marketing.
In todays highly competitive product landscape, solid social media strategy and execution are more important than ever. We are seeking a super-talented team member who can take responsibility for the social media channels operation of various B2C products. This position offers a unique opportunity to drive growth.
So, what will you be doing all day?
Build social media communities across all the B2C products and different social media platforms.
Strategy Development: Develop and manage seasonal social media and influencer marketing strategies tailored to global markets.
Content Ownership: Plan, execute, and oversee the social media content calendar, ensuring seamless alignment with brand goals.
Daily Engagement: Monitor and manage daily social content and implement strategies to foster community engagement and increase follower interaction.
Collaboration: Work closely with creative teams to define seasonal content themes and ensure cohesive execution across channels.
Influencer Marketing: Identify, build, and manage relationships with influencers and media outlets to amplify brand reach.
Analytics and Reporting: Analyze campaign performance and provide actionable insights to optimize future strategies.
Trend Spotting: Stay up-to-date with social media trends, emerging platforms, and best practices to keep the brand ahead of the curve.

We are looking for an sharp-minded Backend Developer to join our Growth team. This is a unique opportunity to take part in shaping architecture decisions, contribute to cross-functional projects, and work with cutting-edge technologies in a fast-paced, innovation-driven environment.

Responsibilities:

* Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
* Design, develop, and maintain scalable backend systems using Python in production environments
* Build and manage cloud-native, microservices-based architectures and distributed systems
* Work with a variety of data storage technologies
* Collaborate with cross-functional teams including product, DevOps, and frontend
* Build and manage frontend components (Angular) as needed
* Communicate complex technical topics clearly to non-technical stakeholders
* Actively leverage AI tools (e.g., Cursor) to accelerate development and raise the team’s engineering bar.

Advantages:

* Experience mentoring developers and leading technical initiatives

We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.

The Senior Machine Learning Engineer will report directly to the Director of R&D.

Your key responsibilities will include:

Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.