Job title: Program Manager with AI/ML
Location: San Francisco CA
Hybrid
Job description:
Key Responsibilities
- Agentic AI Execution & Workflow Building
- Build configure and operate agentic workflows within AI tools (Open AI Tools Claude Jira automations Power Platform and internal AI agents etc.)
- Translate business needs into hands-on automations prototypes and small-scale agentic pilots.
- Maintain and improve automated processes-fix issues refine prompts adjust logic and optimize performance.
- Draft and refine AI playbooks templates and reusable components for PMO teams.
Program Implementation & Delivery Support
- Own the mechanics of program delivery: detailed planning RAID logs documentation sprint alignment and delivery tracking.
- Create and maintain execution-level artifacts such as schedules dependency maps action trackers and release plans.
- Directly update and manage Jira boards Confluence pages dashboards and reporting tools to ensure real-time accuracy.
- Dive into issues to unblock teams identify root causes surface gaps and drive follow-ups to completion.
Operational Excellence & PMO Improvements
- Redesign specific PMO workflows hands-on-rebuilding templates creating automations improving intake forms and streamlining status reports.
- Manage tool configurations across Jira Confluence Workfront and Microsoft 365 to improve hygiene and consistency.
- Build AI-powered dashboards that consolidate delivery signals and provide visibility to leadership.
- Test validate and continuously enhance PMO processes through rapid iterations.
AI Adoption & Enablement
- Train teams through hands-on demos quick-start guides and in-the-moment support.
- Help PMs set up agentic workflows automations and copilots for their day-to-day work.
- Gather feedback and immediately turn it into refinements updates and improved tools.
- Act as the first line of execution for new AI capabilities showing teams how to use them by doing the work alongside them.
Job title: Program Manager with AI/ML Location: San Francisco CA Hybrid Job description: Key Responsibilities Agentic AI Execution & Workflow Building Build configure and operate agentic workflows within AI tools (Open AI Tools Claude Jira automations Power Platform and internal AI agents etc....
Job title: Program Manager with AI/ML
Location: San Francisco CA
Hybrid
Job description:
Key Responsibilities
- Agentic AI Execution & Workflow Building
- Build configure and operate agentic workflows within AI tools (Open AI Tools Claude Jira automations Power Platform and internal AI agents etc.)
- Translate business needs into hands-on automations prototypes and small-scale agentic pilots.
- Maintain and improve automated processes-fix issues refine prompts adjust logic and optimize performance.
- Draft and refine AI playbooks templates and reusable components for PMO teams.
Program Implementation & Delivery Support
- Own the mechanics of program delivery: detailed planning RAID logs documentation sprint alignment and delivery tracking.
- Create and maintain execution-level artifacts such as schedules dependency maps action trackers and release plans.
- Directly update and manage Jira boards Confluence pages dashboards and reporting tools to ensure real-time accuracy.
- Dive into issues to unblock teams identify root causes surface gaps and drive follow-ups to completion.
Operational Excellence & PMO Improvements
- Redesign specific PMO workflows hands-on-rebuilding templates creating automations improving intake forms and streamlining status reports.
- Manage tool configurations across Jira Confluence Workfront and Microsoft 365 to improve hygiene and consistency.
- Build AI-powered dashboards that consolidate delivery signals and provide visibility to leadership.
- Test validate and continuously enhance PMO processes through rapid iterations.
AI Adoption & Enablement
- Train teams through hands-on demos quick-start guides and in-the-moment support.
- Help PMs set up agentic workflows automations and copilots for their day-to-day work.
- Gather feedback and immediately turn it into refinements updates and improved tools.
- Act as the first line of execution for new AI capabilities showing teams how to use them by doing the work alongside them.
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