DSI Systems Inc., an Authorized AT&T Distributor Partner, is seeking a Platform Manager – Cresta to lead the administration, optimization, and strategic evolution of our Cresta AI platform. This role is responsible for maximizing the platform’s impact across Sales and Support by enhancing agent performance, improving operational efficiency, and strengthening the overall customer experience. Reporting to the Senior Director of Systems Operations, the Platform Manager serves as the subject matter expert for Cresta—overseeing configuration, integrations, analytics, and platform governance. This individual partners cross-functionally with Sales, Operations, Quality, and Training teams to translate business needs into scalable AI-driven solutions, ensuring consistent adoption, measurable performance improvement, and long-term platform value. About DSI Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency. At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one-stop solution across a range of markets—including mobility, broadband, video, commercial, residential, Lodging & Institutions, and Multi-Dwelling Units—empowering our sales partners to uncover new opportunities and maximize their potential. Responsibilities - Serve as primary owner and administrator of the Cresta platform - Configure and optimize workflows, playbooks, AI coaching features, and real-time agent assistance tools - Translate operational and performance needs into scalable platform configurations - Manage and maintain integrations with telephony systems, CRM platforms, and other enterprise tools - Build and refine dashboards, reporting, and performance analytics to support leadership insights - Monitor AI model performance and coordinate with vendor teams to ensure system accuracy and continuous improvement - Lead platform updates, feature evaluations, testing, and enterprise-wide rollouts - Provide Tier 2/3 support and manage escalations in partnership with Cresta Support - Drive adoption through user training, documentation, and best practice development - Partner with leadership to define KPIs that support coaching effectiveness and operational excellence

• Own and evolve the core integration and data backbone that underpins GTM Analytics, Enterprise-grade AI tooling, and Business-critical data flows across Semrush. • Design and operate secure, scalable cloud services and data integrations used across regions and teams. • Play a key role in supporting post-acquisition integration work with Adobe. • Design, build, and operate production APIs and cloud services (REST and/or gRPC) on Google Cloud Platform. • Own Cloud Deployed Solutions/Scripts (Cloud Run, Docker, etc.) that power integration, provisioning, and internal enablement platforms. • Build and maintain secure, event-driven integration patterns (Pub/Sub, async workflows). • Own business-critical data integrations, including global compensation and finance-adjacent feeds with SOX relevance. • Design and enforce security and access boundaries (IAM, secrets, service-to-service auth, cloud ↔ on-prem connectivity). • Drive cost-efficient cloud execution, including batching, async processing, and pricing-aware architecture decisions. • Build and operate enterprise-grade AI services, with clear cost, latency, and quality trade-offs. • Design reliable data ingestion patterns that support analytics, executive reporting, and downstream consumers. • Act as primary owner for integration infrastructure and enterprise AI tooling for the RevOps team. • Act as secondary owner for analytics pipelines to ensure coverage and eliminate single points of failure. • Lead operational ownership: monitoring, alerting, incident response, root-cause analysis, and audit readiness. • Partner with Analytics Engineering and Analytics teams to ensure stable, well-governed data flows. • Enable Go-To-Market Engineering teams through reliable APIs, integrations, and automation primitives. • Work with Security, Finance, and Legal stakeholders on access control, auditability, and compliance-relevant systems. • Support global teams across regions and time zones.

• Be an integral part of the Application Managed Services team, collaborating closely with application developers, infrastructure engineers, business analysts, and IT leadership to architect, maintain, and optimize mission-critical database solutions. • Design, maintain, and optimize relational database structures to support application and reporting needs. • Design, install, configure, and manage enterprise Microsoft SQL Server databases and Azure SQL services. • Architect and implement high availability (HA), disaster recovery (DR), and replication solutions. • Automate routine DBA tasks via PowerShell, T-SQL, and DevOps pipelines. • Perform advanced performance tuning, query optimization, indexing strategies, and capacity planning. • Analyse SQL execution plans and resolve complex database bottlenecks. • Enforce database security policies, including encryption, role-based access, and auditing. • Ensure compliance with GDPR, ISO27001, and other regulatory frameworks. • Define and test robust backup/recovery strategies and recovery time objectives (RTO/RPO). • Lead recovery efforts during critical incidents. • Act as SME for database architecture in projects and technical design reviews. • Partner with DevOps and development teams to align database design with CI/CD practices. • Create and maintain comprehensive documentation for systems, processes, and standards.

• Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers • Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity • Collaborate with platform and application engineers to identify friction points and implement incremental improvements • Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines • Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows • Have opportunities to propose ideas and improvements, with support and mentorship from the team