Sr. Principal Technical Program Manager
New
G
G-PSaaS Employment Platform
United StatesFull-TimePrincipal
Salary$176,000 - $221,000 / year
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Job Details
- Experience
- Minimum of 10 years of experience
- Required Skills
- Artificial IntelligenceProduct ManagementJiraRelease ManagementConfluenceSaaSGoogle WorkspaceRisk Management
Requirements
- Minimum of 10 years of experience in SaaS product development, program management, and release management.
- Direct experience with AI-driven development lifecycles and utilizing AI/Agentic workflows to optimize program management architectures.
- BS in Computer Science, Engineering, Statistics, or a related technical field.
- Proven ability to earn trust quickly, mobilize teams, and set direction in highly ambiguous environments.
- Ability to deliver tough messages with grace, resolve conflict, and adapt to change rapidly.
- Experience and familiarity with industry-standard project management software (e.g., Jira, Confluence, Google Suite).
- Deep proficiency in the rapidly evolving AI landscape (LLMs, generative AI, agentic frameworks) preferred.
- Effective presenter, negotiator, and collaborator who can communicate with clarity and precision at all levels of the organization.
- A strategic mindset equally passionate about business outcomes and deep technology.
Responsibilities
- Manage multiple concurrent programs varying in size and complexity, maintaining objective oversight while demonstrating a deep passion for the program's success.
- Ensure every program aligns to a strict Program Playbook—meaning the technical capability is successfully delivered and the targeted outcomes are fully realized.
- Establish a consistent execution rhythm and rituals to force decision-making, remove blockers, and clarify ownership.
- Act as an 'information radiator,' utilizing clear reporting systems to communicate delivery health, milestone tracking, and look-ahead risk analysis to leadership.
- Integrate AI seamlessly into your program management workflows, such as utilizing AI and agentic tools to automate RAID logs and synthesize status updates into concise executive summaries.
- Govern the inherent unpredictability of AI development, adapting traditional program management to account for experimentation.
- Maintain a centralized Work Surface (e.g., Jira, Confluence) as the ultimate hub for tracking initiative status, critical paths, and dependencies.
- Identify and overcome delivery roadblocks in a complex environment, escalating risks quickly and effectively.
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