• Develop and implement comprehensive sales strategies to promote and sell/engineer DAS solutions to new and existing clients. • Lead the design and development of wireless solutions, to include macro, small cell, DAS, CBRS, and private networks, ensuring they meet client needs and industry standards. • Build and maintain long-lasting customer relationships through consultative sales approaches and excellent client service. • Identify market opportunities and develop key client accounts in the telecom, real estate, and public sectors. • Collaborate with internal engineering and operations teams to deliver customized DAS solutions that meet client needs. • Lead negotiations and close high-value sales deals, ensuring alignment with company revenue goals. • Stay informed on industry trends, technological advancements, and competitive landscapes to drive continuous growth.

• Partner with the sales team to qualify leads, deliver compelling technical presentations, and help close deals—especially within large enterprises. • Collaborate with the Channel team to recruit, train, and support partners. Build credibility with partner technical teams. • Join strategic calls with key accounts to troubleshoot complex issues and offer expert insight on challenging use cases. • Coordinate with Product and Support teams to design tailored solutions and escalate critical feedback. • Serve as a trusted advisor on CMMC, DFARS/NIST compliance, enterprise IT, and PreVeil’s platform for both customers and partners. • Lead technical discussions around PreVeil’s Compliance Accelerator. Complete security questionnaires and support audits. • Contribute to the enhancement of Compliance Accelerator tools by providing input on content, usability, and technical accuracy. • Mentor and assist in onboarding new Sales team members.

• Serve as the primary technical point of contact for partners, guiding them through API usage, integrations, and best practices to ensure successful implementation • Collaborate with partners and internal teams to design, implement, and continuously monitor integrations, ensuring they are delivering maximum value and meeting both business and user experience goals • Advocate for the end-user experience within integrations, ensuring flows are intuitive, performant, and aligned with partner and customer needs • Work with the GTM team to evaluate partner technical requirements, develop proof-of-concepts, and provide demos to support the sales process • Ensure smooth partner onboarding, troubleshoot technical issues, monitor performance metrics, and make recommendations to improve adoption, engagement, and ROI • Develop technical guides, API documentation, and sample integrations that prioritize usability and help partners and customers succeed independently • Partner with Product, Engineering, and Sales teams to provide feedback from partners and users, influence product roadmap, and prioritize enhancements to integrations • Track partner and user success metrics, identify friction points, and implement solutions to improve adoption, satisfaction, and overall impact • Stay current with trends in API integrations, developer experience, and partner ecosystems to continually enhance partner enablement and user experience

• Serve as the technical and architecture lead on client engagements focused on implementing agentic AI-based solutions • Architect and develop agentic AI solutions using Azure AI services and third-party platforms via xAI’s API • Design end-to-end technical architectures that leverage Azure services, large language models (LLMs), agent frameworks, and secure data pipelines • Oversee end-to-end implementation of agentic AI solutions, including model training, integration, and testing within Azure environments • Ensure compliance with industry standards (e.g., GDPR, HIPAA) and Azure security best practices • Monitor AI solution performance using Azure monitoring tools • Work with product owners, project managers, and engineering teams to translate business requirements into actionable solution architectures • Define system interfaces, APIs, microservice architectures, and orchestration strategies for intelligent agent workflows • Ensure technical deliverables meet standards for scalability, security, and maintainability • Lead architectural reviews, participate in sprint planning, and ensure alignment with DevSecOps and MLOps best practices • Collaborate with stakeholders to evaluate new tools, models, and AI patterns that align with customer goals • Prepare technical documentation, diagrams, and architecture artifacts for internal and external stakeholders • Stay current with emerging technologies in AI, LLMs, and cloud computing • Contribute to internal knowledge sharing and training programs to upskill team members