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We're looking for a technical Product Manager to join our AI product team and own the roadmap for Klaudia - our autonomous AI SRE agent. You'll work directly with customers, solution architects and R&D leads to define how Klaudia senses, investigates, decides, acts, and validates across availability issues and reliability risks. It's a role for someone who can translate complex AI/infra tradeoffs into a sharp product strategy.

What you will do

Work on the product roadmap execution, aligned with our mission and customer needs
Collaborate with engineering and design teams to drive our AI to success
Conduct thorough market research, close work with sales teams and customer calls to identify trends, customer pain points, and opportunities for AI integrations
Effectively communicate product vision, progress, and outcomes to internal stakeholders and customers
Define KPIs around AI capabilities and utilize data-driven insights to make decisions and product iterations

Responsibilities
- Design, build, and operate the internal engineering platform powering our company's build, test, deployment, and security validation workflows at scale
- Write and maintain production-grade Python and shell tooling that drives platform automation - this is a hands-on coding role, not just pipeline configuration
- Architect and manage hybrid cloud/on-prem execution infrastructure, including large-scale Kubernetes runner pools across multiple AWS regions
- Own and evolve CI/CD pipelines at scale using GitHub Actions, including reusable workflows, ARC-based runner orchestration, and build caching strategies (BuildKit, sccache, Valkey)
- Operate and tune DinD environments (Sysbox, EBS/NVMe, overlay storage, MTU/networking) for build, test, and release workloads
- Connect and manage self-hosted and on-prem runners, routing physical device (wbox) test jobs by site and device type
- Implement DevSecOps controls including least-privilege IAM, OIDC, isolated runner groups, container signing, and automated security scans
- Drive platform observability, cost optimization, and reliability improvements across the engineering infrastructure
- Collaborate cross-functionally with hundreds of engineers to improve engineering velocity and release confidence
- Take end-to-end ownership of complex infrastructure problems and drive them to resolution.

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our company's solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
our company's Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments - often air-gapped, with no data leaving their premises.
Responsibilities
Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies).
Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal.
Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout.
Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback.
Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers.
Provide on-call support for dev/staging environments and customer stamps.
Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana - dashboards and alerts across services, Kafka, databases, and GPUs.
Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding.

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our company's solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
Responsibilities
Partner with Accounting, FP&A, Procurement, and other Finance stakeholders to understand business requirements and operational challenges
Analyze existing Finance processes, identify gaps and manual activities, and design scalable solutions
Translate Finance requirements into system configurations, workflows, controls, reports, and automation
Lead implementation projects from requirements definition and solution design through testing, UAT, deployment, and adoption
Ensure implemented solutions support accounting requirements, internal controls, data accuracy, and audit readiness
Document implemented processes, system logic, controls, and user procedures
Serve as Finance's hands-on NetSuite implementation expert - designing and implementing configurations, workflows, saved searches, reports, dashboards, roles, and approval processes
Improve the use of NetSuite across Finance and reduce reliance on spreadsheets and manual work
Support the implementation of new NetSuite modules and functionality, coordinating system changes and integrations with internal stakeholders and external implementation partners
Lead testing, UAT, issue resolution, and user training for Finance-related system changes
Identify practical opportunities to use AI and automation across Finance; evaluate, select, and implement AI-based tools that improve efficiency, accuracy, controls, and decision-making
Build or implement AI-enabled workflows for reconciliations, month-end close support, journal-entry review, variance/anomaly detection, forecasting, and management reporting
Develop AI assistants or agents that can securely analyze financial information, answer Finance-related questions, generate reports, and flag items requiring review
Establish validation, access, and control mechanisms for the use of AI in Finance, and continuously monitor and improve implemented solutions
Support Finance-related integrations between NetSuite and systems such as Salesforce, DealHub, Combitas, banking platforms, procurement tools, and reporting solutions
Define data flows, business rules, controls, and reconciliation requirements, working with internal IT teams and external vendors on technical integration activities
Develop Finance dashboards and self-service reporting where required.

We are looking for a Senior Frontend Developer to join our group, where we build scalable, high-performance systems that manage complex network infrastructures at massive scale.
In this role, you will take end-to-end ownership of a core domain within our application - an area defined by complex user workflows, intricate application logic, and high-scale data interactions. You will be responsible for shaping its technical direction, ensuring architectural soundness, and building the foundation that enables the domain to evolve alongside a broad and ambitious roadmap.
This is a high-impact position that requires strong technical judgment, long-term thinking, and a commitment to engineering excellence in a fast-paced, collaborative environment.
Responsibilities
Design and implement complex UI workflows with advanced client-side logic.
Architect scalable frontend solutions to support high-volume data and real-time interactions.
Build and maintain domain-specific infrastructure, abstractions, and reusable components.
Lead major technical decisions and guide implementation strategies.
Integrate real-time data streams into responsive, reliable interfaces.
Develop advanced visualization components (e.g., graph-based UIs).
Write comprehensive unit and E2E tests to ensure stability and maintainability.
Optimize performance, accessibility, and overall user experience.
Collaborate closely with backend engineers, product managers, and UX designers.

We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across

We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across.

we are looking for a Director of Product Marketing & Brand.
What you'll do
Own messaging framework, which is the single source of truth for how the company talks about what it does and why it matters.
Build and maintain persona-level, product-level, and industry-level positioning that holds up in the field, including in a sales conversation, an analyst briefing, a paid campaign, or a press interview.
Translate product releases, market shifts, and competitive moves into messaging updates that reach every function fast.
Own brand identity: visual standards, tone of voice, brand book, asset templates, and 10x our creative output.
Own the communications and PR strategy, specifically how shows up in press, analyst relations, and industry conversations.
Activate these narratives across every channel, in collaboration with Growth, to drive pipeline and brand awareness.
Grow and nurture your team, empowering them to achieve their targets and career goals.
Operationalize AI across every key content, creative, and GTM process.

We're hiring a Quality Lead to own that. Why this role is different: you won't run a traditional QA team that tests features at the end. You'll own the quality gates inside the Machine and in production, author the monitoring skills our pods rely on, and hold independent authority to fail the Machine's output. Quality is our north star, and this role sets the bar.
THE MISSION: Make reliability, performance, and user experience a property of the system - not of individual heroics. Build and lead a Quality function (~9 people) that keeps an AI-native delivery org fast and trustworthy, and give the business confidence that what the Machine ships is safe to ship.
WHAT YOU'LL DO:
Own quality gates in the Machine - prose-driven tests (generated from requirements, not the code), adversarial / agent-checks-agent review, static analysis and code-quality remediation (e.g. SonarCloud), and CI gates that run before anything reaches a human.
Own quality in production - release verification, production testing, and ownership of change-fail and deployment-rework rates.
Author monitoring guidelines & reusable observability skills that delivery pods and the Machine consume - so monitoring is built in, not bolted on.
Own the evals that score the Machine's output for behavioral consistency and reliability - treating evaluation as a first-class engineering discipline.
Act as an independent governance voice - with the authority to block or fail output that doesn't meet the bar, partnering closely with Architecture.
Partner with the Core Platform team on the quality of customer-issue fixes and existing functionality.
Lead, coach and grow the team - quality/gate engineers, an agent-evaluation engineer, production-monitoring (SRE) and QA-infrastructure engineers.
Set the quality metrics and report them - DORA + deployment-rework rate, escaped-defect rate, review-queue depth, eval pass rates.

As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our companys Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.
Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our companys product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.
Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our company solutions.
Install and configure our company products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments
Introduce new products to the company sales and support teams and to company customers
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers
Collaborate on product definition through customer requirement gathering and roadmap planning.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

we are seeking a highly motivated and skilled Software Engineer to join our Hardware Software team. In this role, you will be responsible for the development and integration of Board Support Packages (BSP) and low-level firmware components for our carrier-grade networking solutions. Carrier-grade routers/switches designed for service providers or data center networks. The systems integrate ASICs and high-throughput backplanes supporting multi-terabit line rates. You will work closely with hardware, platform, and system architects to bring up new hardware platforms and support advanced network functionalities in high-performance environments.
Key Responsibilities:
Develop, integrate, and maintain BSP components, including bootloaders (e.g., U-Boot), device trees, and hardware abstraction layers.
Design and implement firmware and low-level drivers for network-centric hardware platforms (e.g., ASICs, NICs, SoCs, CPLDs, FPGAs).
Support hardware bring-up and board validation, collaborating with hardware engineers and system integrators.
Work on performance optimization, debugging, and stability improvements of system software on embedded Linux platforms.
Interface with third-party SDKs and adapt them to fit within our company's software infrastructure.
Ensure compliance with industry standards and best practices for networking and embedded systems.