Product Manager, Agentic AI

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 extraordinary. Learn, grow, and thrive in our fast‑paced, transformative environment.

Autopilot is project
44’s no‑code platform for deploying purpose‑built workflows with AI agents into the mission‑critical workflows supply chain teams run every day. It is the product layer that sits on top of our agent portfolio 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:

We’re moving from support to augment to automate. 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 so an entire operational task runs without a human in the loop, while staying transparent, auditable, and reversible.

Natural‑language workflow authoring with Mo – project
44’s AI Supply Chain Analyst – is a core part of the role. You will make Autopilot workflows authorable and executable through Mo in plain language, partnering closely with the Mo product management team.

• Own the customer problem before the solution. Every workflow starts from a clearly stated customer problem, who is impacted (planners, logistics managers, appointment and yard managers, carrier dispatch, drivers), and when it occurs – not from a feature idea.
• Run primary research continuously: customer interviews, ride‑alongs with operations teams, design‑partner pilots, Customer Advisory Board validation sessions, win/loss and churn intake reviews, and direct analysis of platform behavior.
• Recruit and manage design partners for shadow‑mode pilots – where the agent logs what it would do before it acts – to establish honest baselines and earn trust ahead of live deployment.
• Be the domain and product expert in customer‑facing settings: demos, executive briefings, CAB, and conferences. Translate what you hear into a prioritized, defensible roadmap.

• Push the frontier of what agents can safely do in production: autonomous voice and email outreach, document parsing and reconciliation, reason‑code classification and write‑back, and multi‑agent workflows that coordinate several agents across a single business outcome.
• Move workflows up the maturity curve – from supporting a user (surfacing a signal), to augmenting them (taking one action in a human‑run flow), to automating a complete work task (a multi‑agent workflow that runs the whole job end to end). Define, for each use case, the workflow must clear to graduate to the next stage.
• Make workflows authorable and executable in natural language through Mo, so a user can describe a workflow conversationally and have Autopilot stand it up, run it, and report back. Own the Autopilot side of the integration and the mapping from natural language to triggers, conditions, and actions.
• Design for trust: configurable controls, transparent logic, audit trails, intervention points,…