Staff Product Manager, Agentic AI

Why project44

At project44 we believe in better. We challenge the status quo because we know a better supply chain isnt just possibleits essential. Better for our customers. Better for their business. Better for the world.

With our Decision Intelligence Platform Movement were 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 youre building product serving customers managing people or running operations AI is a tool youre expected to use with intent curiosity and judgment. We dont 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 teams AI fluency because we believe its a competitive advantage for every person at project44 not just our engineers.

If youre 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 were building something extraordinarily learn grow and thrive in our fast-paced transformative environment.

The opportunity

Autopilot is project44s no-code platform for deploying purpose-builtworkflows withAI agentsinto 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:

1. AI Workflows the growing library of packaged customer-deployable agent workflows ( 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.

1. AI Agent Workflow Manager (fkaAutopilot) 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.

1. AI Agent Analytics & Reporting the measurement layer (AI Agent AnalyticsLunaIntelandLunaVoicedashboardscollaborationand 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 arcyoulldrive:from support to augment to automate.The first generation of AI workflowssupportedusers surfacing the right signal at the right moment. The current generationaugmentsthem 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 that progression use case by use case deciding when a workflow is ready to move from augmenting a person to automating the task outright.

Natural-language workflow authoring with Mo.Mo is project44s AI Supply Chain Analyst a conversational agent embedded in Movement that lets users ask questions of their own data in natural language (NLSQL / NLAPI) grounded in their shipments business rules and carrier history. Mos roadmap runs fromsearchtoanalyzetoact and Autopilot is the act. A core part of this role is making Autopilot workflows authorable and executable through Mo in plain language set up a workflow that calls the carrier whenever an FTL shipment is running two hours late and update the ETA and surfacing Autopilot task history and run status back inside Mos the Autopilot side of that integration and partner closely with the Mo product management teamon the shared experience the trigger/condition/action vocabulary Mo maps natural language onto and the guardrails for letting a conversational agent stand up an autonomous workflow.

Weremoving fast from shippingroughly oneworkflow a week to one a day and the bar is high:very littlevibe-coded software is production-ready and customers only adopt agents they the throttle use case by use case so speed never outruns trust.

What Youll Do:

Lead with customers and research

• Own the customer problem before the solution. Every workflow startsfroma clearly stated customer problem who isimpacted(plannerslogisticsmanagers appointment and yard managers carrier dispatch drivers) and when it occurs not from a feature idea.

• Run primary research continuously: customer interviews ride-alongswith 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 where the agentlogswhat itwoulddo before it acts toestablishhonest 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.

Drive AI innovation

• 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 fromsupportinga user (surfacing a signal) toaugmentingthem (taking one action in a human-run flow) toautomatinga complete work task (a multi-agent workflow that runs the whole job end to end). Define for each use case thebara workflow must clear to graduate to the next stage.

• Make workflows authorable and executable in natural language through Mo project44s AI Supply Chain Analyst 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 partnering with the Mo product management team.

• Design for trust: configurable controls transparent logic audit trails intervention points hallucination guards and throttles tuned per use case. Decide where humans stay in the loop and where agents can act autonomously.

• Partner with engineering applied AI and design on workflow architecture triggers conditions actions contact-resolution strategy retry and cadence logic and closure semantics and on the tooling that lets us scale workflow production toward one per day.

• Stay ahead of a fast-moving competitive field of agenticlogisticsstartups; know precisely why project44s network and context are the durable advantage and build the product to exploit it.

Write outcomes-based requirements

• Author crisp PRDsalong with rapid around goals and non-goals explicit success/failure metrics and leading and lagging indicators not feature checklists. (A workflow marked completed isnot the same asa workflow that succeeded;youlldefine success by the outcome itproduced.)

• Specify configurability deliberately: what is a sensible pilot default versus what each tenant must be able to tune (thresholds conditions allow/block lists cadence channels).

• Maintain a prioritized backlog across the three surfaces and sequence it against customer value trustgating and business results. Synthesize complex multi-mode use cases (FTL LTL ocean drayage intermodal) into an actionable roadmap.

• Hold the gating bar: data availability provider readiness legal/compliance review (e.g. TCPA and calling-hours guards for outbound contact) and human-QA thresholds before write-back or autonomous action is unlocked.

Measure and report outcomes

• Define the metric model for every workflow before it ships and instrument it: validation/completion rates outcome classification confidence reduction in manual coordination and exception handling accuracy improvements (e.g. ETA MAPE/MAE) freight-spend and disruption-cost impact response and reach rates and adoption.

• Own AI Agent Analytics and theLunaIntel/LunaVoicereporting experience so customers can see agent performance and outcomes by use case and persona and so we can prove ROI in renewals QBRs and executive reviews.

• Run the outcome loop: turn what the dashboards reveal (non-response patterns ambiguous outcomes value by segment) back into roadmap decisions throttle changes and the next workflows to build.

• Produce high-quality executive-ready deliverables investment memos roadmap reviews launch readouts and enablement with the same attention to detail you bring to the product.

What success looks like in the first year

• A steadily expanding high-trust AI Workflow library shipping at an increasing cadence with each workflow tied to a measured customer outcome.

• At least one flagshipmulti-agent workflow that fully automates a complete operational taskend to end moving a meaningful job from human-run to agent-run without eroding trust with a clear repeatable bar for graduating future workflowsfrom supportto augment to automate.

• Autopilot workflows authorable and executable through Mo in natural language with adoption measured by workflows created and triggered via Mo shipped in partnership with the Mo product management team.

• Measurable business impact from deployed agents in the range project44 alreadydemonstratestoday: meaningful reductions in freight spend and manual coordination double-digit reductions in manual exception handling materially improved ETA accuracy and faster sourcing cycles.

• AI Agent Analyticsadoptedas the system of record for agent performance used by customers CX and the executive team alike.

• Rising adoption and trust among Autopilot customers reflected in NPS and renewal/expansion with no trust-eroding incidents from agents acting beyond their guardrails.

Whatwerelooking for

• 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.

• Demonstratedcustomer obsession:a track recordof grounding product decisions in direct research and ofrepresentingthe customer credibly to engineeringand toexecutives.

• Fluency withAI / 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.

• Anoutcomes-firstoperating style: you write requirements as goals non-goals and success metrics and you 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 have

• 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 NLSQL / NLAPI) and shipping a shared experience across two product teams.

• Familiarity with voice/communications platforms or outbound-contact compliance (TCPA calling-hours rules).

• Priorworkrunning design-partner programs CABs or beta/pilot motions for net-new product categories.

• • In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office FOUR days weekly

Compensation and Benefits:

We continually evaluate our pay ranges to reflect skills experience and market conditions. The base salary offered will be determined by assessing a candidates experience and skills relative to the scope and responsibilities of the position as well as the specific geographic location where the job will be performed. Base salary is one component of project44s total compensation package which also includes stock options for all EOR and project44-employed team members bonus or commission eligibility depending on role and a benefits package tailored to your country of employment. Specific benefits package offerings vary by country and may include health dental and vision coverage retirement plans and paid time off in line with local market standards and statutory programs. The base salary range for this position is $160000 $240000 USD.

Diversity & Inclusion

Were designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique as the communities we are building for. Its up to us to create a company where anyone can bring their authentic self to work every day. Were constantly working to improve and we accept our responsibility to elevate the voices left in the margins. Its on every one of us.

Our focus on inclusion manifests in the way we hire the customers we serve and the regions we prioritize. Were building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.

We pride ourselves on celebrating everyone project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves wed love to review your application!

For any accommodations needed during the hiring process please email Even if you dont meet 100% of the above qualifications you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the roles requirements.