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ManagerFull-timeAI
Salary Range
$150,000 - $170,000 /year
About the Role
Technical Program Managers at PointClickCare are strategic enablers of product outcomes, connecting strategy, delivery, and learning across our product and engineering ecosystem. You'll orchestrate complex initiatives that span products, platforms, and domains, ensuring empowered teams have the clarity, alignment, and flow to deliver meaningful customer and business impact.
Key Responsibilities
- →Enable product outcomes by partnering with Product and Engineering Leads to translate strategy and OKRs into coordinated execution plans.
- →Orchestrate multi-team initiatives spanning product, infrastructure, and platform capabilities, ensuring alignment and sustainable flow.
- →Drive clarity and flow by connecting business intent to execution signals and using delivery metrics to inform decision-making.
- →Harness AI for insight by using AI-driven analytics to surface risks, detect bottlenecks, and generate proactive recommendations.
- →Champion empowered delivery by coaching teams on healthy operating rhythms and data-driven practices.
- →Bridge strategy to execution by facilitating alignment between senior product, design, and engineering leaders.
- →Shape systems and culture by contributing to how PointClickCare executes at scale, evolving shared tools, processes, and frameworks.
- →Travel to company onsite -25% for eligibility.
Requirements
- ✓Bachelor’s degree in computer science, Engineering, or related field, or equivalent practical experience.
- ✓5+ years of experience leading complex software programs in TPM/EPM or similar roles.
- ✓3+ years driving multi-team initiatives across product and platform or infrastructure.
- ✓Experience translating strategy and OKRs into execution plans, managing dependencies, risks, and delivery health signals.
- ✓Proficient with program execution and delivery tooling (Jira, Confluence, Aha! or equivalents).
- ✓Technical fluency in modern software systems (APIs, architectures, integration patterns) and ability to engage in technical design conversations.
- ✓Experience using metrics to improve predictability, flow, and outcomes; comfort using AI tools to support analysis and decision-making.
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