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We're looking for a candidate with strong technical ability combined with advanced customer service skills, ready to join a dynamic and innovative work environment. Responsibilities:
* Providing front-line support to internal users: diagnosing and quickly resolving hardware, software, and network issues.
* Diagnosing and troubleshooting technical problems: identifying root causes, resolving technical issues, and giving users clear, concise explanations.
* Managing tickets and documenting issues: logging and documenting service tickets in a ticketing system to support tracking and process improvement.
* Collaborating with technical teams: escalating complex issues to additional technical teams in an organized way, while keeping the user continuously updated.

KMS Lighthouse is seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.

Responsibilities:
Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture. Define and execute the engineering strategy in alignment with business and product objectives. Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery. Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth. Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions. Drive engineering excellence by improving development processes, operational efficiency, quality, and execution. Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives. Stay ahead of emerging technologies and industry trends to ensure continuous innovation.

We're looking for a Senior Frontend Engineer to join our R&D team and help define the future of endpoint security.

You'll join a small, high-caliber team of frontend experts building the foundations, components, and infrastructure that power our platform. Your mission will be to turn complex security data into fast, intuitive, and scalable experiences used by enterprise security teams every day.

What You'll Do
Build modern frontend applications using React, TypeScript, GraphQL, and the latest frontend technologies.

Build the infrastructure and guardrails - linting rules, AI agent skills, solid APIs, and testing mechanisms - that let non-frontend developers ship features fast without compromising quality.

Own frontend architecture, reusable components, and UI patterns while partnering closely with backend engineers and product teams.

Drive features end-to-end, from design and implementation through testing, release, and production.

Build intuitive experiences for complex security workflows, dashboards, and large-scale datasets.

Help shape and evolve our design system and shared component library.

Improve frontend performance, scalability, and developer experience.

Move fast, iterate quickly, and help shape both the product and engineering culture as we grow.

Were looking for a Senior Backend Engineer to join our R&D team and help define the future of endpoint security.

Youll join a small, high-caliber engineering team that builds the services and data platforms powering our product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.

What You'll Do

Build and own backend services and microservices using Python and Go.

Design schemas, run migrations, and build the analytics layer on ClickHouse.

Deploy and operate services on AWS + Kubernetes

Improve reliability, performance, and observability; participate in design/code reviews.

Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.

Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.

Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

we are seeking a Principal Technologist to be a senior technical leader within our Pre-Sales organization, focused on the compute side of AI infrastructure. Join a dynamic and forward-thinking company at the forefront of AI infrastructure transformation. We partner with hyperscalers, emerging NeoClouds, and enterprises building AI/HPC GPU compute clusters, helping them get maximum performance and utilization out of their compute platforms. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact on multi-million-dollar customer engagements.
As a Principal Technologist, you will serve as the senior technical authority on AI compute infrastructure in complex pre-sales cycles. You will lead solution design for our company's most strategic opportunities globally - working independently or alongside Solutions Architects and Sales teams to translate customer compute and workload requirements into scalable, differentiated technical solutions. You will engage at the C-level and VP level with hyperscalers, NeoClouds, service providers, and large enterprises, and will serve as a thought leader and enabler both internally and externally on GPU/accelerator compute architecture.
Responsibilities
Own the technical architecture for our company's most complex and high-value customer opportunities - spanning AI/HPC GPU and accelerator compute cluster design, workload performance, and the compute-to-network interface.
Partner with Sales and Solutions Architects from early discovery through deal closure, establishing our company as the technically superior choice for customers building next-generation AI compute infrastructure.
Lead proof-of-concept design and execution - defining success criteria, driving GPU cluster benchmarking plans (training/inference throughput, scaling efficiency), and ensuring results are communicated with the rigor and clarity that wins technical confidence at the customer.
Engage directly with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises - building relationships that outlast any single deal.
Serve as a product feedback engine - capturing deep field insights on GPU/accelerator platform trends and workload behavior, translating them into concrete requirements for our company's Product Management and Engineering teams.
Define and publish architecture playbooks, reference designs, and best practices for AI compute infrastructure that scale our company's technical go-to-market across the Solutions Architect and Solutions Engineer community.
Lead and mentor Solutions Architects and Solutions Engineers, raising the overall technical bar of the pre-sales organization on compute and workload topics.
Represent our company at industry events, author white papers and technical blogs, and build our company's external technical brand in the AI compute infrastructure space.

We are looking for a seasoned QA / E2E engineer who can hold the entire our company Application Platform (DAP) in their head - from the UI and REST/gRPC APIs, through workflow-engine orchestration and microservices, down to configuration pushed onto real network elements - and prove with evidence that it works end to end.
This is not a single-service testing role. You will own end-to-end validation across the DAP platform and matrix-lead the work: bringing development teams, system architects, product, and other stakeholders into a shared definition of success. You will increasingly do this by directing AI agents rather than only writing tests by hand.
Responsibilities
Own end-to-end test strategy and execution across the DAP platform - translate features and epics into complete E2E test plans that trace each requirement/acceptance criterion to a concrete test.
Matrix-lead cross-team work: pull in developers from different teams, system architects, and product; align them on risk, coverage, and what "done" means.
Design and execute test plans for REST/gRPC APIs and workflow-engine functionality, including dynamic task addition, orchestration, and state transitions.
Validate configuration and provisioning flows end to end - from UI/CMS edits and config-template rendering through to the configuration applied on the target network element, confirming on-device before/after state.
Build automated suites for contract validation, regression, and critical-path coverage; design negative and failure-mode tests, not just happy paths.
Identify, reproduce, document, and track defects with self-contained, reproducible bug reports (exact flow, inputs, payloads, logs, on-device evidence) and drive them to verified closure.
Present plans, risks, and results clearly - in slides and live walkthroughs - so engineering and product can decide.
Direct AI agents (e.g. Cursor, Claude, agentic subagents) to author test plans, generate and execute tests, and triage failures - while owning correctness of the output.

We are establishing a new backend group that will take full ownership of a core application area.
We are looking for a Senior Backend Developer who will lead the backend effort end-to-end - from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution.
This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group.
We embrace an agile mindset - you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Take full ownership of the backend architecture for a major application area
Design and implement scalable, reliable, and maintainable backend systems
Lead technical design and decision-making, including technology and architecture choices
Work closely with product, frontend, platform, and other backend teams
Participate in product vision discussions, brainstorming, and planning sessions
Translate product requirements into robust technical solutions
Write high-quality, production-grade code
Drive debugging and root-cause analysis of complex production issues
Ensure best practices in performance, reliability, security, and observability
Mentor and technically guide other backend engineers as the group grows.

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're looking for an experienced Data Analyst to join our growing Data team and help shape one of our core functions.

This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.

You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.

If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.

What You'll Do

Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.

Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.

Design and evolve our data models, creating a unified language across data coming from multiple integrations and systems.

Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.

Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.

Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.

Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.

Help define the foundations of our data function by evaluating tools, methodologies, and best practices that will scale with the company.

Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.

Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product.

In this role, youll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team.

We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills.

** The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).**

As a Customer Support Engineer, you will:
Be in charge of our customer happiness and deliver amazing service.
Become a product expert who knows the ins and outs of what we have to offer by helping our customers maximize the value they receive from us.
Proactively identify opportunities and optimization points to help our customers grow.
Represent the customer voice internally in Product, Marketing, and Business Development discussions.

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.

The data-path group provides core components for our products. We design and develop the data plane features for a large-scale distributed system - for example, forwarding information base, quality of service, security and telemetry. We gain a deep understanding of ASIC architectures and work directly with chip SDKs to configure the hardware and implement these features.
We're looking for a software engineer with a passion for software development, solid C/C++ skills, and real excitement about the way AI is changing how software gets built. Our product evolves quickly and priorities shift, so we want someone who is easy-going, flexible, energetic, and adaptable to change.
Responsibilities
Design, develop and debug data-plane features in C/C++ for a large-scale distributed system
Own features end to end - from design through implementation, testing and production
Make AI tools part of your daily workflow to move faster and increase quality, and help the team discover new ways to use them
Investigate and resolve complex issues across a multi-component system
Collaborate closely with other engineering groups, QA and product teams
What We Offer
Work on core technology running in some of the largest networks in the world, including AT&T and Comcast
A team that adopts AI tools early and gives you room to experiment with them.

We're looking for a full-cycle SDR to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the Convert plan and Reviewers.com to Shopify merchants.

This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time.

As a Full Cycle SDR, you will:
Cold call Shopify merchants to upsell and cross-sell the Convert plan and Reviewers.com.
Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback.
Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign.
Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams.
Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion.
Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting.

We're building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.