Principal Product Program Manager
New
G
G-PSaaS product development
Location: United Kingdom - Northern Ireland (Remote-First)Full-TimePrincipal
SalaryThe annual gross base salary range for this position is £82,000 - £102,000 plus variable compensation.
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Job Details
- Experience
- Minimum of 7 years of experience in SaaS product development, program management, and release management.
- Required Skills
- JiraRelease ManagementConfluenceGenerative AI
Requirements
- Have at least 7 years of experience in SaaS product development, program management, and release management.
- Bring direct experience with AI-driven development lifecycles.
- Have experience using AI and agentic workflows to optimize program management architectures.
- Hold a BS in Computer Science, Engineering, Statistics, or a related technical field.
- Demonstrate the ability to earn trust quickly, mobilize teams, and set direction in ambiguous environments.
- Be able to deliver difficult messages with grace, resolve conflict, and adapt rapidly to change.
- Be familiar with industry-standard project management software such as Jira, Confluence, and Google Suite.
- Preferred: Have proficiency in LLMs, generative AI, and agentic frameworks, and apply them to practical program management strategies.
- Preferred: Be an effective presenter, negotiator, and collaborator who communicates clearly at all organizational levels.
- Preferred: Bring a strategic mindset focused on both business outcomes and technology.
Responsibilities
- Manage multiple concurrent programs of varying size and complexity.
- Ensure each program follows the Program Playbook and delivers technical capabilities and targeted outcomes.
- Establish execution rhythms and rituals to drive decisions, remove blockers, and clarify ownership.
- Report delivery health, milestone progress, and look-ahead risks to leadership.
- Use AI and agentic tools to automate RAID logs and synthesize status updates into executive summaries.
- Adapt program management to the experimentation and unpredictability of AI development.
- Maintain a centralized Work Surface, such as Jira or Confluence, for initiative status, critical paths, and dependencies.
- Identify delivery roadblocks and escalate risks quickly.
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