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Senior / Principal Product Manager-AI Agent Manager and AI Agent Workflows

Project44 · Chicago, IL · posted 1 day ago
FULL_TIME Product
SeniorSpark

Why project44?

At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.
Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.
AI at project44

We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers.
If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.

In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters four days a week. Together, we’re building something extraordinarily learn, grow, and thrive in our fast-paced, transformative environment.

The opportunity

Autopilot is project44’s no-code platform for deploying purpose-built workflows with AI agents into the mission-critical workflows supply chain teams run every day — calling carriers, collecting missing data, reconciling documents, resolving exceptions, and running mini-bids within guardrails. It is the product layer that sits on top of our agent portfolio (Freight Procurement, Disruption Management, Network Operations, Execution Recovery, Stockout Risk, and more) and gives customers the steering wheel: configurable triggers, transparent logic, audit history, and human checkpoints at every critical step.

This role owns three connected surfaces:

  • AI Workflows — the growing library of packaged, customer-deployable agent workflows (e.g., validate early ETAs, late-shipment carrier outreach, collect missing milestones, stale-position investigation). You define which jobs we automate next, in what sequence, and to what standard.
  • AI Agent Workflow Manager (fka Autopilot) — the no-code configurator itself: the trigger / condition / action canvas, workflow variants, multi-agent orchestration, human-in-the-loop controls, and the build-and-deploy experience that lets customers (and our own teams) ship workflows without engineering.
  • AI Agent Analytics & Reporting — the measurement layer (AI Agent Analytics, LunaIntel and LunaVoice dashboards, collaboration and carrier-performance reporting) that proves outcomes by use case and persona, exposes agent performance to customers, and closes the loop back into the roadmap.

The arc you’ll drive: from support, to augment, to automate. The first generation of AI workflows supported users — surfacing the right signal at the right moment. The current generation augments them — taking a discrete action inside a human-run workflow (make the call, collect the milestone, draft the response). The mandate for this role is to push to the next stage: multi-agent workflows that automate complete work tasks end to end — coordinating several agents across a full job (e.g., detect → reach out → confirm → reconcile → write back → close) so an entire operational task runs without a human in the loop, while staying transparent, auditable, and reversible. You’ll own that progression use case by use case, deciding when a workflow is ready to move from augmenting a person to automating the task outright.