Technical Infra Program Manager, Corporate Network Engineering

Amazon Development Centre Canada ULC; Vancouver; Hybrid; CAD 134,000 - 160,000; Full time

Benefits offered by this job

Flexible paid time off

RRSP matching

Life insurance and disability benefits

Volunteer events

Job summary

Amazon Development Centre Canada ULC is seeking a Senior Program Manager to lead delivery of complex AI-driven programs across the Copperleaf portfolio. This role connects engineering execution with Product, Support and Operations, driving release readiness and cross‑pillar coordination.

You will orchestrate strategy into executable features, manage risk and scope, and engage customers to validate designs. Expect a hybrid Canada‑based role with a focus on delivering high‑impact software

Qualifications

• Senior-level program management experience with predictable delivery in agile software environments.
• Excellent communication, influence, and collaboration across senior, technical, non-technical, and customer stakeholders.
• Ability to navigate ambiguity and resolve cross‑departmental conflicts.
• Proficiency with AI tools and applying AI to improve delivery workflows.

Responsibilities

• Translate product strategy and epics into executable features and guide Champions on user stories.
• Lead delivery of the most complex program and manage risks, dependencies, and timelines.
• Coordinate release readiness, documentation, migration paths, and enablement materials before GA.
• Engage with customers to validate solution design and coordinate early access programs.
• Collaborate with Champions, architects, designers, developers, and operations to ensure delivery excellence.

Skills

Program management

Cross-functional leadership

AI fluency

Stakeholder alignment

Delivery excellence

Tools

IFS Copperleaf Suite

AI tools

Job description

We are looking for a Senior Program Manager to lead the delivery of complex, high-impact programs across IFS Copperleaf’s portfolio. Program Management is a function within Engineering and R&D. This role will be assigned to priority initiatives based on business needs, and its scope may evolve as the portfolio and organization grow.

Program Managers are the connective tissue between engineering execution and the rest of the organization. They operate within a three-tier model where Product Managers define epics (the strategic ‘what’ and ‘why’), Program Managers refine these into features and coordinate delivery across operating cells, and Champions (Technical Leads) own user stories and day-to-day execution within their cells. As a senior member of the function, this role also helps improve how that model operates across complex programs and team boundaries.

Reporting to the Senior Director, AI Engineering & Transformation, the Senior Program Manager plays a central role in delivering strategic AI and software initiatives and driving adoption of the Agentic Operating Model (an AI-agentic model that accelerates analysis and delivery). The role adapts delivery practices as the model matures and ensures we continue to deliver predictably to customers while the way we build software fundamentally changes. The Senior Program Manager also partners with the Release Manager on cross‑pillar release orchestration and with peer Program Managers when work spans program or pillar boundaries.

What makes this role distinctive is its breadth and impact. The Senior Program Manager will lead some of the organization’s most complex and strategically important programs, bringing clarity to ambiguity, aligning technical and business stakeholders, and turning ambitious product goals into predictable, high‑quality releases. The role is not tied to a single product or domain and may move across initiatives as organizational priorities evolve.

Key Responsibilities

Release Delivery & Coordination

• Translate product strategy and epics into executable features with clear outcomes and acceptance criteria; guide Champions on user story creation and share ownership of the most technically complex or cross‑cutting stories.
• Lead delivery of the most complex program and release scope, managing risks, dependencies, timelines, and scope alignment across multiple operating cells and functions.
• Follow the agreed escalation ladder: cell‑internal velocity issues sit with the Champion; cross‑cell or release‑commitment risks are owned by the Program Manager; cross‑pillar or strategic risks elevate to the Senior Director.
• Lead program inputs to release‑level gate reviews, including capacity, scope commitments, risks, dependencies, and readiness.
• Partner with the Release Manager on release‑level coordination by contributing program status, risks, and dependencies; coordinate with peer Program Managers across pillars when work spans organizational boundaries.
• Manage communication to stakeholders and ensure clear, consistent status reporting throughout the release cycle.
• Drive and resolve scope trade‑offs with Product and engineering leadership when risks or constraints emerge, informed by Champions’ assessment of cell capacity and technical complexity.
• Partner with technical champions, architects, designers, developers, and operations to ensure delivery excellence and support to their functions.
• Coordinate delivery cadence across assigned programs and operating cells, ensuring predictable, high‑quality, and on‑time outcomes.

Cross‑Functional Alignment

• Ensure alignment across Engineering, Product, Support, and Operations for assigned programs and their contribution to each release, in coordination with the Release Manager.
• Drive release readiness: confirm that documentation, known limitations, migration paths, and enablement materials are complete before General Availability (GA).

Customer Engagement (Within the Release Cycle)

• Engage directly with customers to validate that engineering’s solution design works in real‑world scenarios before release.
• Shape and coordinate early access programs for complex releases, including participant strategy, logistics, timelines, and structured feedback collection.
• Triage customer‑reported issues (tickets, defects) with Support teams that affect product usage and adoption, providing context for engineering prioritization.
• Synthesize pre‑release customer feedback operationally: friction points, defect patterns, reproduction steps, so engineering can act on it.
• Ensure release readiness from the customer’s perspective: documentation, known limitations, and migration paths are clear before the release ships.
• Operate within AOM practices as they become available, adopting AOM internal products as part of the delivery workflow.
• Collaborate with Champions and engineering leadership on AOM adoption within assigned operating cells; identify breakdowns, propose improvements, and help new AOM practices integrate effectively.
• Use AI tools to streamline workflows, improve communication, and support efficient, predictable delivery.
• Evolve agile practices within AOM, improving rituals and cadences as program needs change.

Governance & Process

• Uphold established delivery governance while identifying where it is breaking down and leading practical improvements within and across operating cells.
• Act as a point of contact for triage of bugs, backports, and cross‑cell issues that affect release scope; partner with Champions to ensure effective prioritization and resolution within their cells.

Building Knowledge

• Develop deep expertise in assigned product and customer domains, the IFS Copperleaf suite, and the technical components relevant to assigned programs and operating cells.
• Stay fluent in AOM practices, AI tools, and emerging capabilities, applying them to improve program outcomes and delivery practices.
• Actively engage with stakeholders across Product, Engineering, and Business to gather input and maintain awareness of priorities and constraints.
• Actively engage with customers to validate solution design, understand issues, and coordinate early access within release cycles.
• Lead with a customer‑first mindset, ensuring client feedback informs the solution adoption process.

Applying Skills

• Demonstrate strong business and technical acumen, aligning cross‑functional teams around shared outcomes for complex, high‑impact programs.
• Communicate release status, risks, and trade‑offs clearly to both technical and non‑technical audiences.
• Use AI‑powered tools to improve visibility, support decision‑making, and accelerate delivery workflows.
• Operate independently and decisively in fast‑moving, highly ambiguous environments, resolving cross‑functional issues with minimal escalation.
• Foster trust, collaboration, and clarity across distributed teams.
• Use familiarity with the IFS Copperleaf Suite and our customers’ operating environments to connect program delivery to measurable, real‑world customer value.
• Lead continuous improvement and reinforce a shared vision for the engineering function through thoughtful stakeholder engagement, influence, and communication.
• Promote program management best practices through documentation, knowledge‑sharing, mentoring, and cross‑pillar collaboration.

You Have the Following Background:

• Significant experience leading complex, high‑impact programs involving multiple teams, functions, and dependencies, with clear accountability for outcomes.
• Senior‑level program management experience with a strong track record of predictable delivery in agile software environments.
• Exceptional communication, influence, and collaboration skills, with the ability to align senior, technical, non‑technical, and customer stakeholders.
• AI fluency: comfort using AI tools as part of daily workflows, with an understanding of how AI is reshaping software delivery.
• Ability to navigate ambiguity, resolve cross‑departmental conflicts, balance competing priorities, and maintain momentum without relying on escalation.

Nice to Have

• Experience in enterprise software, AI‑enabled products, or asset‑intensive and regulated industries.
• Experience moving between product or domain areas and quickly building the context needed to lead new strategic initiatives.
• Experience delivering AI/ML, data‑intensive, or other high‑stakes products in complex environments.

What We’re Offering

• Salary Range: $134,000 to $160,000 CAD annually + variable bonus
• Flexible paid time off, including sick and holiday
• RRSP matching
• Life insurance and disability benefits
• Community involvement and volunteering events

Use of Artificial Intelligence in Recruitment

As part of our recruitment process, we may use automated tools, including artificial intelligence, to help screen and assess applications based on job-related criteria such as skills, experience, and qualifications. These tools do not make hiring decisions. All employment decisions are reviewed and made by members of our hiring team.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.