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Were looking for a Customer Success Manager to work closely with our top Enterprise clients. The ideal candidate will have a background in digital marketing, data and customer success, and enjoys working directly with clients to help solve business problems and provide data-driven outcomes. This role will also serve as a product expert to help drive customer adoption and retention, generating insights and creative ideas for solutions.
This role will report to the Team Manager, Client Services.
Why is this role so crucial ?
The Customer Success Manage Enterprise is a key player on the Enterprise Team collaborating with a variety of internal cross-functional teams and serving as a trusted advisor to our clients by working in a consultative manner. The CSM's ability to create relationships with the largest Enterprise clients , and help them extract real business value using our solutions is essential to keeping clients engaged for years.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the company Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!
About the role:
Our Automation Engineers are part of a team of highly skilled Python programmers that are responsible for creating test coverage for all system functionalities and configurations. This is a challenging but crucial engineering task since the testing of a feature in storage can be more complex than its actual implementation. Together with the team, you will be responsible for the products reliability and stability, which is a core requirement of any enterprise storage product and is vital to its success.
As a QA Automation Engineer, youll:
Create detailed, well-structured test plans and test cases;
Implement automated distributed tests in Python;
Gain an in-depth understanding of a complex, clustered system and be able to accurately analyze failures in those systems;
Collaborate with the R&D team in order to identify and analyze problems, as well as verify and test solutions; and
Become a storage expert who understands the terminology, protocols, configurations, architecture, and practicalities in the frontier of storage technology.

We're seeking a hands-on Compensation & Benefits Manager to join our team! This will report to the Team Manager, Compensation & Benefits.
Why is this role so important?
The Compensation & Benefits Manager leads the design and execution of core compensation programs across the employee lifecycle, with a strong focus on annual merit, bonus, and equity cycles. The role owns end-to-end compensation processes, maintains salary structures and benchmarking practices, and partners closely with HR and business leaders to support consistent, data-driven compensation decisions.
Operating in a dynamic, global environment, the role provides trusted guidance on complex and sensitive compensation matters and balances hands-on execution with thoughtful design to ensure alignment with market practice and business needs.

We seek a motivated and experienced Affiliate Manager (B2C) to join our B2C marketing team. The ideal candidate will be responsible for developing and managing our affiliate marketing programs for our various B2C products, building strong relationships with partners, and driving growth through strategic initiatives. This role requires a proactive individual with a deep understanding of affiliate marketing strategies and a proven track record of delivering results
So, what will you be doing all day?
Develop and Manage Affiliate Programs: Create, implement, and oversee affiliate marketing strategies to increase traffic, leads, and revenue.
Recruit and Onboard Affiliates: Identify, approach, and onboard new affiliate partners that align with our various brands and business objectives.
Performance Analysis: Monitor and analyze affiliate performance metrics, generating reports and insights to inform strategic decisions and improve ROI.
Optimize Campaigns: Continuously assess and optimize affiliate campaigns for maximum effectiveness and profitability.
Collaborate with Internal Teams: Work closely with the marketing, management, and product teams to align affiliate strategies with overall company goals.
Stay Updated on Industry Trends: Keep abreast of the latest trends and best practices in affiliate marketing and incorporate relevant strategies into campaigns

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!
About The Position
At our company, we dont just "test" software; we push the boundaries of high-performance distributed systems. We are looking for a Group Lead for System Quality Engineering-someone who views quality as a complex engineering challenge, not a checkbox.
You will lead a group of 20 world-class SW engineers and Team Leads. Your mission is to build the "adversarial" engineering force that ensures our platform remains resilient, performant, and unbreakable under the worlds most demanding data workloads. We want a leader who treats testing as a performance art and a systems science, likely coming from a background in Backend Engineering, SRE, or highly technical System Verification.
Key Responsibilities:
Architect the "Breaking" Strategy: Design the end-to-end strategy for validating a massive-scale distributed file system. This isn't just about coverage; it's about finding the architectural breaking points.
Lead a High-Caliber Engineering Group: Manage and mentor a team of "Quality Hackers." You will set the technical bar, promote a culture of engineering excellence, and move away from traditional "manual-first" mindsets.
Deep-Tech Collaboration: Work as a peer to the Product and Core Development leads. Youll influence the product roadmap by identifying systemic risks early in the design phase.
Evolve the Automation Ecosystem: Partner with Infrastructure teams to build sophisticated, automated test environments that simulate chaotic, real-world customer environments at scale.
Field-to-Core Feedback Loop: Bridge the gap between how our product is used in the field and how we stress-test it in the lab, ensuring our company excels in the most extreme AI and HPC use cases.
Data-Driven Reliability: Define and track high-signal metrics (System Recovery Time, Latency P99s under stress, Mean Time to Detection) to provide a transparent view of product health.

looking for a highly motivated Field Application Engineer who will work collaboratively with the team as well as independently and develop test applications solutions for our customers.



Responsibilities

Develop, debug, and deploy test solutions for semiconductor devices on Teradyne ATE test systems (HW and SW).
Supporting test program correlations and release to production activities.
Actively engage with customers to develop new test techniques.
Troubleshooting of test issues and improving test methodologies.
Develop customer relations at a technical level.
Collect customer needs and requests, communicate to internal engineering team to develop new solutions for customer.
Work within the support of our worldwide application teams to coordinate project development and on time delivery of critical project milestones.

We are seeking a highly skilled and motivated Mechanical Systems Engineer to join our Silicon Photonics Engineering team in Haifa, Israel. This role supports the development of advanced micro-mechanical and macro-automation systems for photonics and semiconductor test equipment. You will collaborate globally, reporting to the SiPh Engineering Manager in North Reading, MA, USA.



In this role, you will design and develop precision mechanical systems that enable high-performance optical and semiconductor testing. Your work will directly support the rapid growth of AI and integrated photonics technologies.



Design micro-mechanical systems using 3D CAD tools such as NX, AutoCAD, or SolidWorks
Develop micro-actuation hardware for photonic integrated circuit (PIC) optical connections, including fiber-to-chip and connector-to-receptacle interfaces
Engineer macro-automation solutions for integrated circuit (IC) handling from JEDEC trays
Model and characterize complex mechanical systems using FEA tools such as COMSOL or Ansys (preferred)
Use structural analysis and CAD tools to architect new modules and evaluate performance and limitations
Define and implement critical metrics and specifications aligned with product requirements and characterization methods
Influence product-level decisions through simulation, prototyping, and lab-based validation
Build custom unit tests and metrology hardware; perform hands-on measurements in the lab
Collaborate with suppliers to develop actuation modules, bring up test platforms, and conduct statistical analysis of performance and quality
Travel to supplier sites to support engineering builds and assist in failure analysis activities

We are seeking a highly motivated and collaborative Mechanical Engineer to support our Silicon Photonics Engineering group in Haifa, Israel. Development occurs in a dynamic and challenging global multi-site environment. This role will report to the SiPh Engineering Manager in North Reading, MA, USA.



You will lead and/or participate in platform product development initiatives within our Silicon Photonics product team. In the SiPh Engineering group, we focus on developing state-of-the-art Optical Instruments for our Semiconductor Test Equipment products. This optical test equipment is essential for the massive expansion in AI that the industry is currently experiencing.



You will create innovative and sound technical solutions to complex engineering problems. You will also identify essential requirements and key technical risks. You will work closely with Electrical Engineers, Systems Engineers, and Optical Engineers to design solutions for New Product Introduction and High-Volume Manufacturing.



Develop detailed mechanical designs using 3D CAD, along with creating 2D fabrication drawings
Create Engineering Change & Release documents (ECN / ECO)
Participate in internal design reviews
Work with Systems Engineering team to help define sub-systems, establish technical direction, and develop product strategies and long-term product roadmaps
Build, debug, and test prototype designs
Assist NPI team with the build and debug of customer early access units
Collaboration with procurement & supply chain to identify alternative vendors and suppliers

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.