Senior Product Manager, AI ProductDesign Lead Supply ChainLogistics

Handson AgentFirst

• Product Area:  Logistics
• Location: London / UK (Office based or Hybrid)
• Reporting to: VP Optimization & Simulation

Role Summary

We are looking for a handson AInative Product Manager (Product Manager 2.0) to lead the evolution of Logistics as we move to an agentfirst AInative product operating model.

This is not a traditional requirements writer or coordination role.

You will:

• Own product definition and delivery for AIdriven optimization capabilities
• Work directly with customers to explore and validate logistics decisionmaking workflows
• Personally craft prototypes simulations and experiments to shape product direction
• Actively push engineering teams to deliver highquality trustworthy productionready AI systems

You are expected to build test and learn not just direct.

AINative Prototyping & Discovery

You will use modern AI tooling to collapse the gap between idea and learning within the Logistics portfolio.

This includes:

• Rapid prototyping using tools such as Replit
• Creating lightweight working demos and agent behaviour experiments
• Using these artefacts to:
  • Validate logistics workflows with customers
  • Explore agent decisionmaking failure modes and trust
  • Reduce risk before engineering investment

You do not need to be an engineer but you must be handson and comfortable producing real artefacts that engineers can build from.

AINative & AgentFirst Product Thinking

• Lead discovery for agentbased and AIfirst capabilities within  Logistics
• Work handson with:
  • LLMpowered planning and decision workflows
  • Agent interactions escalation paths and humanintheloop controls
  • Simulation and synthetic data as discovery and validation tools
• Use prototypes and experiments to answer questions such as:
  • What decisions should the agent take vs. the user
  • Where is explainability mandatory
  • What does trust mean in a logistics planning context

Roadmapping Delivery & Engineering Quality

• Own outcomeoriented roadmaps for Logistics capabilities
• Connect:
  • Customer value
  • Commercial priorities
  • Platform and AI strategy
• Use discovery artefacts (prototypes simulations experiments) to:
  • Justify roadmap decisions
  • Align stakeholders
  • Push for the right solutions not just faster delivery
• Act as a strong partner and challenger to engineering:
  • Raise the bar on quality usability and system behaviour
  • Ensure AI features are productiongrade not experimental

What Success Looks Like (612 Months)

• Logistics roadmaps are:
  • Outcomedriven
  • Credible
  • Clearly connected to customer problems
• Prototypes are routinely used to:
  • Validate ideas early
  • Reduce delivery risk
  • Improve engineering focus
• Engineering teams feel:
  • Challenged
  • Aligned
  • Supported by clear product direction
• Customers trust and adopt AIenabled logistics capabilities

Why Logistics

Logistics combines AI simulation and optimisation to support complex logistics and supplychain decisionmaking at scale.

This role sits at the heart of that ambition shaping how AInative products are discovered designed and delivered across the IFS portfolio.

Qualifications :

Product Management Basics

• 5 years experience in software product management role
• Strong experience roadmapping and managing prioritisation within resource constraints
• Strong customer understanding skills - communication research usage analysis etc.
• B2B or Enterprise SaaS product management is essential
• Logistics/supply chain industry experience is essential

HandsOn Product Leadership

• Proven experience personally prototyping product ideas
• Comfortable using AI tools to explore and validate concepts
• Strong bias toward learning by making
• Able to translate rough prototypes into clear product direction

Product Manager 2.0 Mindset

• Outcomedriven not backlogdriven
• Comfortable engaging deeply with engineers on technical tradeoffs
• Uses data and artefacts not opinions to drive decisions
• Willing to push teams toward higher standards not lowesteffort delivery

AI & Technical Fluency

• AInative mindset with practical understanding of:
  • Agents
  • LLMbased workflows
  • System limitations and failure modes
• Not a data scientist but technically credible with AI and engineering teams

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time