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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.

Rail Vision is seeking a Global Sales Director to lead the company’s worldwide sales activities, drive expansion into new markets, and manage strategic accounts within the railway sector. Key Responsibilities Lead global sales activities across international markets Proactively identify and develop new business opportunities, independently generating a strong pipeline and converting leads into closed deals. Manage and execute complex sales processes, including contracts and tenders Identify, recruit, and manage overseas agents and business partners Represent the company at international conferences, exhibitions, and business travel engagements Work closely with Business Development Representatives (BDRs) Collaborate cross-functionally with project management, product, engineering, and marketing teams This is an individual contributor role and does not include direct people management.

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.

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.