• Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. • Support customers and partners in quickly implementing this architecture into sophisticated and reliable data center builds. • Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL). • Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. • Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness. • Review the operational efficiency, reliability, and readiness of data center infrastructure elements before initiating AI/HPC cluster deployments. • Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. • Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components. • Develop partner-facing playbooks, deployment guides, and guideline documentation specific to AI factory implementations using NVIDIA reference builds. • Provide hands-on mentorship to partners on deploying NVIDIA AI factory; conduct workshops and develop runbooks to build partners expertise. • Serve as the representative of the customer/partner within NVIDIA, conveying field insights, deployment challenges, and optimization opportunities to NVIDIA internal and product engineering teams to support the seamless integration of data center infrastructure solutions.

Role Description We are looking for a Contact Center Systems Lead to help us build and scale our cloud-based contact center infrastructure. In this role, you will lead the implementation and setup of our contact center platform, working closely with internal teams to design a solution that supports our operations and enhances customer experience. This is a high-impact role where you’ll take ownership of a critical system and help shape how we support our customers. What you will be doing - Implementation & System Ownership - Lead the setup and implementation of a cloud-based contact center platform - Define system structure, workflows, and deployment approach - Partner with operations and leadership teams to understand business needs - Act as the main point of contact for contact center technology initiatives - Platform Configuration & Design - Configure users, queues, routing logic, and call flows - Design and optimize customer journeys and IVR flows - Set up call routing, schedules, and operational workflows - Establish scalable and organized system structures - Integrations & Collaboration - Support integrations with CRM systems and other internal tools - Work with technical teams or vendors to ensure smooth system connectivity - Help bridge technical solutions with business requirements - Optimization & Continuous Improvement - Monitor system performance and identify improvement opportunities - Refine workflows and routing strategies to improve efficiency - Support reporting and insights for operational teams - Documentation & Enablement - Document system setup and processes - Train internal teams on platform usage and best practices - Help establish processes for long-term maintenance and scalability Qualifications - Experience with cloud-based contact center platforms (e.g., Genesys, Five9, NICE, Talkdesk, Amazon Connect, or similar) - Experience implementing, configuring, or managing contact center systems - Ability to translate business needs into technical solutions - Strong communication and stakeholder management skills - Comfortable working in a remote, cross-functional environment Requirements - Experience with Amazon Connect - Familiarity with AWS or other cloud platforms - Experience with CRM integrations (Salesforce, Zendesk, etc.) - Basic knowledge of APIs or automation - Background in customer experience or contact center operations Benefits - Fully Remote: Work from anywhere — no office required 🌍 - High Ownership Role: Real impact on systems and operations - Long-Term Opportunity: Grow with a scaling organization - Competitive Compensation: Based on experience and expertise - Career Growth: Build mission-critical systems, not just features - Autonomy: Lead architecture, automation, and system design

About Us We are a fast-growing startup (2.5 years in the market) entering a scaling phase. As we grow, operational efficiency becomes critical. Our focus is simple: - reduce unnecessary hiring through smart automation - eliminate manual work where possible - elevate team thinking toward AI-first problem solving What You’ll Do - Design and implement automation solutions using AI, low-code, and no-code tools - Identify repetitive workflows across teams (HR, Finance, Marketing, Support) and replace them with scalable systems - Independently define architecture and choose the right tools/stack - Collaborate with stakeholders to clarify requirements and shape solutions - Participate in brainstorming sessions to develop efficient, AI-driven approaches - Build lightweight internal tools and integrations - Present solutions and onboard teams - Run small workshops to improve AI literacy and adoption across the company Working Format - Part-time: 10–20 hours per week - ~10 hours/week overlapping with team for communication - Remaining hours flexible Hiring Process - Practical technical task - Discussion of your learning path and projects - Close evaluation of speed and quality during initial phase - Fast decision-making: if expectations are not met, we part ways quickly

• Lead discovery calls and workshops with client stakeholders to understand business requirements across Sales, Marketing, and Service teams. • Design and architect scalable HubSpot solutions using Sales Hub, Marketing Hub, and Service Hub (Operations Hub experience is a plus). • Develop detailed project scopes and SOW-style documentation, including deliverables, assumptions, exclusions, and acceptance criteria. • Support pre-sales activities by reviewing requirements and ensuring proposed solutions are feasible for delivery. • Lead project kickoffs and coordinate closely with delivery and engineering teams to ensure successful execution and quality control. • Drive client adoption through onboarding programs, training coordination, and regular business review (QBR) sessions. • Support long-term client engagement and help transition clients into ongoing support or retainer relationships.