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Position Overview
We seek a plan-driven Project Manager with proven, hands-on experience delivering agentic AI projects (not just theoretical knowledge). You will lead Agentic AI + MCP initiatives using classical (waterfall) project management—WBS, Gantt, EVM, formal change control—while managing AI engineering teams.
Key Responsibilities
Project Management (Classical)
Mandatory: Proven Agentic AI Experience
We seek a plan-driven Project Manager with proven, hands-on experience delivering agentic AI projects (not just theoretical knowledge). You will lead Agentic AI + MCP initiatives using classical (waterfall) project management—WBS, Gantt, EVM, formal change control—while managing AI engineering teams.
Key Responsibilities
Project Management (Classical)
- Lead end-to-end waterfall/hybrid agentic AI projects from conception to closure.
- Create WBS, Gantt charts (CPM), and specifications (Agent Capability Matrix, MCP Tool Registry).
- Monitor progress via Plan vs. Actual and Earned Value Management (CPI/SPI) .
- Manage agentic AI–specific risks: goal misalignment, token cost blowouts, MCP downtime, unsafe tool calls.
- Implement formal change control for scope/timeline/budget.
- Coordinate internal AI engineers and third-party MCP vendors.
- Lead and hold accountable ML engineers, MCP developers, and safety testers.
- Manage team capacity across multiple agent projects.
- Conduct performance evaluations based on delivery and baseline adherence.
- Run milestone reviews, change control boards, and daily stand-ups.
- Maintain task boards, production readiness checklists, and documentation wikis.
Mandatory: Proven Agentic AI Experience
- Must have delivered at least one agentic AI project in production or pilot (e.g., autonomous customer support agent, multi-agent workflow, tool-using LLM system).
- Must be able to describe in interview: agent architecture (ReAct, planner-executor, etc.), tools used, how you handled non-determinism, safety guardrails implemented, and lessons learned from failures.
- Experience with MCP (Model Context Protocol) is highly preferred but not mandatory—agentic AI without MCP still qualifies.
- 5+ years project management
- Bachelor’s degree in one of the following or related fields: Business Administration, Management, Industrial Engineering, Information Systems, Operations Management, Project Management.
- Expert in WBS, Gantt, CPM, EVM (CPI/SPI), formal change control.
- PMP or PRINCE2 advantageous.
- Structured thinking, accountability, proactive leadership.
- Excellent documentation and communication.
Key Skills
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- Posted
- May 28, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Estonia
- Company
- PST.AG
Industries
Software Development
Categories
Project Management
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Fully Remote Project Manager Agentic Ai
2026-05-28
Full-time
Not Applicable
Finland
Software Development
Project Management
View Job Details
Related
Staff Product Designer - Design Systems - 100% Remote - EMEA
2026-05-28
Full-time
Not Applicable
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Design
View Job Details
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Senior Backend Engineer, Booking Platform - 100% Remote - EMEA
2026-05-28
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