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Own go-to-market execution and adoption for assigned enterprise healthcare products. Develop positioning, launch plans, beta programs, customer validation, sales enablement, and cross-functional readiness. Monitor adoption, usage, and revenue metrics; synthesize customer and competitive intelligence; support strategic deals and executive engagements; and influence product roadmap decisions. The role partners closely with Sales, Marketing, RevOps, Customer Operations, Support, and Product teams.

Lead complex, cross-functional software programs spanning product, engineering, infrastructure, and platform teams. Translate strategy and OKRs into execution plans, manage dependencies and risks, improve delivery flow using metrics and AI-driven insights, and facilitate alignment among senior stakeholders. Coach teams toward empowered, data-driven delivery while shaping program processes, tools, and operating culture.

Provide empathetic technical support for cloud-based healthcare applications used in long-term care. Troubleshoot issues through log analysis, research, and reproduction; document customer interactions and resolutions; collaborate with technical teams; maintain knowledge resources; and meet service-level KPIs. The role requires understanding clinical workflows, customer expectations, and SaaS support processes, with weekday evening coverage and occasional overtime, weekend, holiday, and on-call shifts.

Leads multiple enterprise customer-facing EHR implementation projects, serving as the primary client liaison. Responsibilities include defining scope, timelines, budgets, resources, and deliverables; coordinating stakeholders and implementation teams; managing risks, issues, dependencies, and communications; reporting project progress; supporting customer adoption and transition to ongoing support; and improving project management practices. The role requires strong leadership, communication, analytical, prioritization, and problem-solving abilities, with software implementation experience preferred.

Lead the architecture of PointClickCare’s AI Platform, including agentic runtime, MCP integration, model gateway, evaluation, and observability services. Guide AI engineers through technical decisions, design reviews, and mentorship. Partner with product teams to translate roadmaps into architecture requirements, document decisions, establish security and responsible AI standards, and provide reusable patterns that enable engineering teams to build scalable AI agents and solutions.

Manage and improve cloud-based database infrastructure supporting a mission-critical SaaS platform. Responsibilities include database observability, performance tuning, troubleshooting, migrations, schema improvements, high availability, disaster recovery, incident response, and root-cause analysis across SQL Server and PostgreSQL. The role also automates operational processes, standardizes configurations and deployments, supports Engineering and SRE teams, and manages database tickets and maintenance activities.

Administer and improve reliable, scalable infrastructure across on-premises and Azure/AWS environments. Automate provisioning and operational processes with Terraform, Ansible, and scripting. Manage Linux systems, VMware, storage, hardware, networking, security, monitoring, log aggregation, performance tuning, backups, and disaster recovery. Collaborate with development and IT teams to enhance system uptime, security, and operational excellence. Kubernetes, Kafka, IAM, and Active Directory experience are beneficial.

Design, build, test, and support backend services and web front ends. Own software delivery from requirements through production, debug distributed systems, improve reliability and security, automate repetitive work, participate in code reviews and sprint ceremonies, and join the on-call rotation. The role requires Java and Spring development, REST APIs, SQL, automated testing, Git workflows, and some front-end experience.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

Leads pricing and packaging strategy, monetization of new products, market and customer analysis, financial modeling, KPI tracking, and discounting optimization. Partners with Product, Marketing, Sales, RevOps, Finance, Sales Enablement, and Customer Success to operationalize pricing decisions, support complex deals, and develop value-based sales tools and training.