AI Project Manager – Supply Chain Full Time

What does day-to-day life look like?

Design and develop multi-agent benchmark tasks involving:

Planning, scheduling, and resource allocation

Operational decision-making (project management, logistics, incident response, capacity planning)

Create constraint-rich problem statements with multiple interacting variables

Develop verification scripts to evaluate:

Feasibility (all constraints satisfied)

Completeness (all requirements addressed)

Optimality (efficient solutions)

Build decomposition strategies:

Split tasks across specialized sub-agents (resource-based, constraint-based, conflict resolution, optimization)

Model real-world operational scenarios with dependencies, timelines, and resource constraints

Collaborate on improving task quality, coverage, and evaluation rigor

Requirements

5+ years of experience in operations, project management, logistics, or supply chain

Strong ability to formalize constraints, dependencies, and scheduling logic

Proficiency in Python for building verification and validation scripts

Strong structured problem-solving and decomposition skills

Clear and precise technical writing skills

Experience with AI coding benchmarks (e.g., SWE-bench, Terminal-bench)

Hands-on experience with Docker (Dockerfiles, image builds, debugging)

Requirements

Experience with optimization techniques (linear programming, constraint satisfaction, scheduling algorithms)

Background in operations research

Experience with simulation or modeling tools

Knowledge of AI planning systems or automated reasoning

Project management experience or certifications (PMP, Agile, etc.)