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

project44•Chicago, IL

2d•Onsite

About The Position

project44 is redefining global supply chains with its Decision Intelligence Platform, Movement. By transforming logistics data into real-time, AI-powered insights, they empower companies to connect instantly, see clearly, act decisively, and automate intelligently. The company is headquartered in Chicago, IL with a second HQ in Bengaluru, India, and is powered by a diverse global team tackling tough logistics challenges. AI is integrated into every role at project44, with an expectation that all team members leverage AI effectively, curiously, and responsibly. The company is looking for candidates committed to an in-office presence four days a week to foster collaboration and innovation.

Requirements

5+ years in product management (more for Principal level), including hands-on ownership of a technical, data-rich, or AI/ML product through the full lifecycle — discovery, definition, GTM, and iteration.
Demonstrated customer obsession: a track record of grounding product decisions in direct research and of representing the customer credibly to engineering and to executives.
Fluency with AI / agentic systems — LLM-powered agents, orchestration, evaluation, human-in-the-loop design, and the practical realities of getting non-deterministic software production-ready and trusted.
An outcomes-first operating style: write requirements as goals, non-goals, and success metrics, and instrument and report on impact rather than output.
Strong analytical skills — comfort defining metrics, working in dashboards and warehouse data (e.g., Snowflake-backed analysis), and reasoning quantitatively about agent performance and ROI.
Excellent written and verbal communication; able to influence engineers, designers, sales, partners, customers, and corporate leadership, and to produce polished executive deliverables.
Comfort with ambiguity and speed; able to set the right throttle so the team ships fast without outrunning customer trust.

Nice To Haves

Logistics, supply chain, or transportation domain experience (visibility, TMS, YMS, procurement, carrier networks).
Experience building no-code / workflow-builder, automation, or analytics-and-reporting products.
Experience with conversational / natural-language interfaces (LLM chat, NL→SQL / NL→API) and shipping a shared experience across two product teams.
Familiarity with voice/communications platforms or outbound-contact compliance (TCPA, calling-hours rules).
Prior work running design-partner programs, CABs, or beta/pilot motions for net-new product categories.

Responsibilities

Own the customer problem before the solution, starting every workflow from a clearly stated customer problem and identifying who is impacted and when it occurs.
Run primary research continuously, including customer interviews, ride-alongs with operations teams, design-partner pilots, Customer Advisory Board (CAB) validation sessions, win/loss and churn intake reviews, and direct analysis of platform behavior.
Recruit and manage design partners for shadow-mode pilots to establish honest baselines and earn trust ahead of live deployment.
Be the domain and product expert in customer-facing settings, translating feedback into a prioritized, defensible roadmap.
Push the frontier of what agents can safely do in production, including autonomous voice and email outreach, document parsing and reconciliation, reason-code classification and write-back, and multi-agent workflows.
Move workflows up the maturity curve from supporting a user to augmenting them, to automating a complete work task end to end.
Make workflows authorable and executable in natural language through Mo, project44’s AI Supply Chain Analyst, owning the Autopilot side of the integration and mapping from natural language to triggers, conditions, and actions.
Design for trust with configurable controls, transparent logic, audit trails, intervention points, hallucination guards, and throttles tuned per use case.
Partner with engineering, applied AI, and design on workflow architecture and tooling to scale workflow production.
Stay ahead of the competitive field of agentic logistics startups, leveraging project44’s network and context as a durable advantage.
Author crisp PRDs framed around goals and non-goals, explicit success/failure metrics, and leading and lagging indicators.
Specify configurability deliberately, defining sensible pilot defaults versus tenant-tunable elements.
Maintain a prioritized backlog across the three surfaces and sequence it against customer value, trust gating, and business results.
Hold the gating bar for data availability, provider readiness, legal/compliance review, and human-QA thresholds before write-back or autonomous action is unlocked.
Define the metric model for every workflow before it ships and instrument it.
Own AI Agent Analytics and the LunaIntel / LunaVoice reporting experience so customers can see agent performance and outcomes.
Run the outcome loop by turning dashboard insights into roadmap decisions, throttle changes, and the next workflows to build.
Produce high-quality, executive-ready deliverables, including investment memos, roadmap reviews, launch readouts, and enablement.