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Responsibilities:
Receive inventory from vendors.
Prepare kits to the prod. Floor according to production plans.
Pick and pack products for delivery and prepare for shipment.
Support different departments in the organization (R&D, Engineering, Sales etc.).
Inventory count.

We are looking for a Product Data Director to lead our global product data strategy and governance. In this role, you will own the vision, implementation, and continuous improvement of how data is captured, structured, and leveraged across our product ecosystem. Youll partner closely with Product, Engineering, BI, and Operations teams to ensure data excellence, enable data-driven decision-making, and unlock insights that enhance our products, customer experience, and business growth.
Responsibilities:
Develop and execute a comprehensive product data strategy aligned with our business goals.
Define and own data standards, taxonomy, and governance frameworks across all product lines.
Partner with Product, BI, and Engineering to design scalable data models and infrastructure supporting product analytics, reporting, and performance tracking.
Lead a cross-functional data excellence initiative, ensuring high-quality, accurate, and consistent data.
Work with product managers to embed data-driven decision-making in product planning, experimentation, and optimization processes.
Oversee the implementation of data instrumentation and tracking for new product launches.
Collaborate with the Analytics and Data Engineering teams to ensure data availability and reliability across systems.

We are always looking for exceptional talent to join us on the journey!
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

We are seeking an experienced and strategic Senior Purchasing Manager to lead our procurement activities.
This role requires deep expertise in strategic sourcing, supplier relationship management, and driving cost reduction while ensuring supply continuity and quality.
Core Focus & Leadership:
Strategic Sourcing: Develop and execute global sourcing strategies for complex hardware, including semiconductors, custom mechanicals, PCBs, and EMS services.
Cost & Negotiation: Lead high-stakes, multi-million-dollar negotiations. Drive substantial year-over-year cost reductions through competitive bidding, Value Engineering, and Total Cost of Ownership (TCO) models.
Risk & Resilience: Proactively identify and mitigate supply chain risks (geopolitical, obsolescence, single source) and manage key supplier performance using QBRs.
NPI & DFC: Partner with Engineering and Product teams on vendor selection and Design for Cost (DFC) during the NPI process.
Team Leadership: Lead and mentor a team of purchasing professionals, ensuring compliance and strategic excellence.

Were looking for a Community Manager to take a key role in shaping one of the most valuable assets at our company, our community.
This is not a traditional community role. Youll take an already highly engaged audience and turn it into a structured, scalable, and impactful ecosystem that builds strong connections and drives meaningful results.
In this role, youll own our community strategy end-to-end, build meaningful relationships, drive engagement, and use community insights to improve product experiences.
Your main focus will be on highlighting and nurturing the company community, with a focus on our company Team, our core group of highly engaged users, creators, and future brand advocates.
What Youll Do
* Build and lead an engaged, actively connected community across platforms, structuring existing channels into a thriving ecosystem and maintaining meaningful daily interactions that spark real conversations between members
* Strengthen trust, belonging, and emotional connection within the community
* Identify, engage, and empower key members and community leaders
* Actively listen to community conversations to identify needs, pain points, and emerging trends
* Turn community insights into actionable recommendations that improve products, marketing, and overall community experience
* Act as the voice of the community within the company, working cross-functionally to drive impact
* Initiate and lead activities, conversations, and programs that increase participation and engagement, and the overall value members get from the community
* Support community members in their development into our company Teams Affiliate programs
* Manage feedback, complaints, and sensitive situations with empathy and professionalism, maintaining a safe, respectful, and inclusive environment

We are looking for a Senior Product Manager to join our fast-growing AI & Data Science group. Reporting to our AI Product Director, you will be supporting the team building products for the next era of AI & Agentic Ecommerce - Where AI agents discover, negotiate, and purchase on behalf of users. You will lead the development of agent-ready experiences, ensuring interoperability with industry protocols, while driving measurable conversion, fraud, and cost outcomes for merchants. The ideal candidate will have a strong background in product management, a deep understanding of AI technologies, a passion for data driven insights, and the ability to translate complex technical concepts into market-leading products.
Responsibilities:
Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.
Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows. Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay. Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, all while upholding Responsible AI guardrails.
Collaborate with cross-functional teams, including data science, engineering and commercial teams to bring products from conception to launch.
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.
Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.
Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.
Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.
Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.

We are seeking an experienced Vendor Scheduling admin to support the growing demand, and supply chain synchronization for our complex hardware portfolio.

Key Responsibilities:
Place recurring Purchase Orders and follow up on arrival and receiving of the material.
Follow up on shortages and deliveries.
Report statuses and escalate when required.
On going work with vendors locally and globally.
Implement working methods both internally and with vendors.

Were looking for a Senior Acquiring Product Manager for a 1- year temporary contract whos eager to shape the future of global payments. In this role, youll lead the evolution of our acquiring capabilities - expanding our product portfolio, optimizing existing solutions, and helping merchants grow through smarter, more reliable payment experiences. This is a hands-on, cross-functional role where youll turn strategy into execution, partner with teams across the company, and see your ideas come to life.
Responsibilities:
Own the full product lifecycle - from concept and design to development, launch, and continuous improvement.
Transform business needs and customer feedback into clear PRDs and actionable user stories that balance MVP scope, time-to-market, and long-term growth.
Collaborate closely with R&D, analysts, finance, operations, compliance, and external partners to deliver high-impact solutions.
Actively participate in Agile ceremonies (standups, sprint planning, retrospectives) to keep teams aligned, motivated, and focused on delivering value.
Define success metrics and KPIs, monitor performance, and use data to drive product decisions and prioritization.
Conduct ongoing market and competitive research to identify new opportunities and emerging trends in acquiring and payments.
Partner with clients and end-users to understand their needs and translate insights into meaningful improvements.
Ensure all acquiring products meet global security, compliance, and regulatory standards.

The Business Application Analyst will be responsible for supporting the configuration, maintenance, and enhancement of our Netsuite ERP system to meet the evolving needs of our organization. By working closely with the team, the Analyst understand the business requirements, translate them into technical solutions, and drive continuous improvement initiatives within the Netsuite environment.

Key Responsibilities:
Gather, analyze, and update business requirements for Netsuite ERP systems enhancements and customizations.
Configure Netsuite modules, workflows, and dashboards to support business processes and improve operational efficiency.
Serve as the primary point of contact for Netsuite end-users, providing training, support, and troubleshooting assistance, as needed.
Conduct ongoing system testing, validation, and quality assurance to ensure accuracy and reliability of Netsuite data and processes.
Follow Netsuite updates, releases, and best practices to identify opportunities for system optimization and enhancement.
Review and document system configurations, processes, and procedures to support knowledge sharing and ensure system integrity.

We are currently seeking for a Mechanical Assembler, as a temporary position for 6 months (that may become a permanent position in the future), who will be responsible for the assembly of complex products using a variety of tools and/or equipment according to required specifications, processes, and procedures in a manufacturing environment.
This is a full-time position.

Responsibilities:
Read, comprehend, interpret and follow basic blueprints, diagrams, engineering drawings, specifications, and other written instructions and follow established procedures to accurately assemble products.
Cable preparation; including stripping, tinning and labeling.
Mechanical type assembly using hand tools and power tools.
Gluing and sealing using Loctite, epoxy, RTV and other compounds.
Working with various sized materials from heavy parts to small intricate parts.
Perform quality testing/inspecting to ensure the product meets specifications and quality standards.
Identify product defects and report on issues to appropriate personnel
Rework and/or repair assembled products according to engineering specification changes.
Keep accurate records/logs etc.
Handling of ESD sensitive materials and equipment.