L-com Global Connectivity

• Define, implement, and maintain a standardized performance measurement framework across all business units. • Establish enterprise-wide KPIs covering service, throughput, quality, and friction points to enable consistent, actionable performance evaluation. • Build governance processes to ensure data accuracy, consistency, and timely reporting across all teams and business units. • Partner internally to design and maintain scalable dashboards and reporting standards that provide clear, actionable insights for leaders and stakeholders. • Analyze trends, identify risks and opportunities, and provide executive-ready insights to guide strategic decision-making. • Translate performance data into operational improvements and measurable business impact through structured feedback loops. • Partner with business unit leaders to enable data-informed decisions and drive continuous performance improvement. • Validate data integrity and continuously refine reporting frameworks, methodologies, and processes for efficiency, accuracy, and clarity. • Serve as the enterprise-wide owner of performance visibility and insights, ensuring reporting is consistent, accurate, and actionable. • Proactively anticipate business needs, recommend predictive analytics, and identify emerging trends to optimize sales performance. • Collaborate cross-functionally to align metrics with organizational goals and support operational excellence initiatives.

• Define Processes and Standards: Establish and maintain enterprise-wide communication frameworks, including cadence, channels, and approval processes. • Develop and maintain playbooks, training guides, and documentation to ensure consistent knowledge sharing across all business units. • Change Management: Define and implement change management and rollout standards for planning, communication, and execution of new initiatives, processes, and system updates. • Training and Enablement: Design, coordinate, and deliver training programs and enablement materials to ensure teams are equipped with the knowledge and skills needed for success. • Cross-Functional Collaboration: Partner with Operations, Quality, IT, and other stakeholders to ensure readiness for launches, process updates, and organizational changes. Lead alignment and readiness calls to ensure smooth execution. • Communication Leadership: Deliver clear, timely, and actionable enterprise-wide communications regarding launches, pricing, process changes, and other key updates. • Adoption and Performance Monitoring: Track adoption metrics, identify gaps, and proactively implement corrective actions to reinforce consistency and alignment across the field. • Continuous Improvement: Collect feedback from teams and performance data to update playbooks, training, and communications for ongoing improvement. • Ownership and Accountability: Serve as the single owner of enterprise communications, playbooks, and training standards, ensuring consistent, aligned rollouts across all business units and driving operational alignment.

• Meet or exceed established quotas for the assigned brand/market. • Support trade shows, be involved in key organizations/groups, and have a strong background in social selling (LinkedIn). • Make outbound sales calls on sales leads and business development. • Provide primary interface with customers via video, phone, email, and live web chat. • Qualify opportunities and account potential with discovery questions. • Provide weekly sales reports, forecast, pre/post travel reports, and monthly pipeline funnel. • Complete daily sales activities from prospecting to customer follow-up. • Build a strong sales funnel with new targets, growth accounts, and account management of existing customers to push year-over-year growth. • Process RFQs, generate quotes, and follow up to closure. • Perform customer discovery and recommend appropriate associated products, including other brand solutions. • Build a solution for customers with complex Custom/Special requests. • Resolve customer issues, questions, and complaints in a professional and collaborative manner. • Maintain a sales funnel to convert prospects into sales. • Other duties as assigned.

• Responsible for delivering overall sales growth in the territory year on year with a continuous new opportunities pipeline and a high percentage close rate • Developing the existing customer base and distribution sales in a systematic and proactive way, utilizing the output from POS data analytics, Warm Leads, to drive demand • Deliver the overall value proposition and grow the existing customer base, increase the number of SKUs already purchased • Responsible for new demand creation with demonstrable success in closing opportunities on products and Value-Added/Bespoke solutions • Educate and train distributors and their end users on our products where needed to multiply your efforts and sales growth • Promoting new products and identifying new product opportunities through end customer and key distribution interaction • Support Marketing activities by providing market feedback and customer requests while attending trade shows, conferences, and other marketing events • Setting, monitoring and reporting on Independent Reps' performance metrics • Responsible for cultivating and managing deep relationships with key decision makers @ end-customers • Meet and/or exceed sales and activity goals • Reporting status and tracking opportunities on Global CRM(Salesforce.com) to report out monthly

• Manage a team of 7-10 engineers, run delivery cycles, and drive execution quality • Lead design and hands-on implementation of production-grade generative AI systems - agentic workflows, multi-step RAG pipelines, and LLM-powered applications integrated with enterprise data • Actively upskill engineers on GenAI concepts, patterns, and practices through pairing, code review, and hands-on demonstration • Own operational outcomes for production AI systems - reliability, latency, throughput, cost efficiency, and scalability targets • Collaborate with cross-functional stakeholders to align engineering execution with the broader product data and AI strategy

• Design and build production-grade generative AI systems - agentic workflows, multi-step RAG pipelines, and LLM-powered applications integrated with enterprise data and services • Define and implement reusable engineering patterns for prompt management, workflow versioning, structured outputs, tool orchestration, and rollback across production AI services • Apply judgment around model selection and routing, token and latency optimization, cost management, and the appropriate boundaries between AI-driven and deterministic application logic • Continuously evaluate emerging AI models, tools, and architectural approaches, incorporating improvements into existing systems incrementally • Integrate AI systems with enterprise data sources, internal APIs, and platforms to enable reliable, production-ready workflows • Own operational outcomes for production AI systems - reliability, latency, throughput, cost efficiency, and scalability targets • Implement and maintain monitoring, observability, tracing, and alerting frameworks to ensure operational visibility and rapid issue resolution • Design and maintain CI/CD pipelines for deployment, versioning, and release management of AI services • Lead production incident response and root cause analysis, driving systemic improvements that reduce recurrence • Build and maintain automated evaluation pipelines for LLM outputs - prompt regression testing, retrieval quality validation, and failure mode tracking • Implement human-in-the-loop controls, content guardrails, schema validation, and structured output enforcement to ensure trusted and auditable AI outputs • Secure AI systems against prompt injection, data leakage, and unauthorized access, aligning with enterprise compliance and security standards • Own the team's GenAI technical direction - defining and enforcing engineering standards, patterns, and best practices across all GenAI workstreams • Make and defend architectural decisions with clarity, providing the technical rationale needed for the Manager and stakeholders to align and move forward confidently • Work closely with the Manager, GenAI Engineering to receive, refine, and execute on scoped GenAI work - contributing technical judgment to prioritization and tradeoff decisions • Provide hands-on code review and technical guidance to engineers contributing to GenAI workstreams, raising overall quality through direct feedback and demonstration • Champion an iterative delivery culture - shipping incrementally, incorporating feedback, and improving continuously in a regular production release cadence

• Develop and manage relationships with new and existing customers to grow overall business. • Collaborate with regional manufacturer’s reps and distribution partners to expand market reach. • Represent multiple RF active and passive component brand portfolios with deep product knowledge. • Identify and develop strategic opportunities at key accounts to drive long-term growth. • Work directly with customer engineering and sourcing teams to secure print positions on upcoming production projects. • Support customer-specific prototyping and near-term project needs with RF component solutions. • Maintain a strong understanding of customer applications and technical requirements. • Provide timely feedback to internal product and marketing teams regarding market trends and customer needs. • Travel as needed to customer sites, trade shows, and partner meetings (primarily domestic, with occasional international exposure). • Develop new business relationships for new potential business ventures. • Work closely with other sales leaders in generating incremental sales and strategic business relationships at key customers.

• Develop and execute supplier strategies that align with overarching business and category objectives. • Lead joint business planning efforts with strategic and key suppliers to foster alignment and drive mutual growth. • Champion supplier-led innovation, support sustainability initiatives, and implement risk mitigation strategies. • Partner with cross-functional teams including operations, procurement, product development, finance, and quality to ensure supplier performance meets both operational requirements and strategic goals. • Utilize data and analytics to uncover opportunities for continuous improvement and total cost optimization. • Serve as the internal advocate for supplier capabilities and the external ambassador of our company’s values, expectations, and long-term vision. • Monitor supplier performance through scorecards, KPIs, and regular business reviews; address underperformance with corrective action plans. • Identify and mitigate risks related to supply continuity, compliance, financial stability, and geopolitical factors. • Foster a culture of transparency, accountability, and collaboration with suppliers to ensure mutual success. • Lead or participate in contract negotiations to ensure favorable terms, service levels, and long-term partnership value. • Ensure compliance with all regulatory, ethical, and corporate governance requirements in supplier dealings. • Support supplier onboarding and integration processes to streamline ramp-up and align capabilities with business needs. • Promote supplier diversity and inclusion initiatives in alignment with corporate responsibility goals. • Actively benchmark best practices in supplier relationship management and bring insights to improve internal processes.

• Define and maintain enterprise-wide cloud strategy and long-term architecture roadmap. • Design scalable, secure multi-cloud/hybrid architectures (Azure(Primary), AWS, GCP). • Lead cloud migration, modernization, and re-architecture initiatives. • Evaluate emerging cloud technologies and vendors to support business objectives. • Implement governance, FinOps, compliance automation, and cloud standards. • Implement Zero-Trust, DR/BCP, and resilience across cloud platforms. • Standardize landing zones, networking, identity, logging, monitoring, and automation. • Enable AI/GenAI workload deployment and cloud data ecosystem optimization. • Collaborate with cross-functional teams, including Infrastructure, Security, and DevOps. • Oversee cloud risk assessments and third-party vendor evaluations. • Mentor engineers and advise executive leadership on cloud strategy.