Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics job opportunity at IFS.

Home Jobs In United Kingdom Tag: AI Product/Design Lead - Supply Chain/Logistics Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics position at IFS


Date2026-04-23T18:34:54.933Z bot
IFS Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics
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AI Product/Design Lead - Supply Chain/Logistics

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loacation London, England, United Kingdom
loacation London, Englan..........United Kingdom
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Job DescriptionHands‑on, Agent‑FirstProduct Area: IFS.ai LogisticsLocation: London / UK (Office based or Hybrid)Reporting to: VP Optimization & SimulationRole SummaryWe are looking for a hands‑on, AI‑native Product Manager (Product Manager 2.0) to lead the evolution of IFS.ai Logistics as we move to an agent‑first, AI‑native product operating model.This is not a traditional “requirements writer” or coordination role.You will:Own product definition and delivery for AI‑driven optimization capabilitiesWork directly with customers to explore and validate logistics decision‑making workflowsPersonally craft prototypes, simulations, and experiments to shape product directionActively push engineering teams to deliver high‑quality, trustworthy, production‑ready AI systemsYou are expected to build, test, and learn, not just direct.AI‑Native Prototyping & DiscoveryYou will use modern AI tooling to collapse the gap between idea and learning within the IFS.ai Logistics portfolio.This includes:Rapid prototyping using tools such as ReplitCreating lightweight working demos and agent behaviour experimentsUsing these artefacts to:Validate logistics workflows with customersExplore agent decision‑making, failure modes, and trustReduce risk before engineering investmentYou do not need to be an engineer — but you must be hands‑on and comfortable producing real artefacts that engineers can build from.AI‑Native & Agent‑First Product ThinkingLead discovery for agent‑based and AI‑first capabilities within IFS.ai LogisticsWork hands‑on with:LLM‑powered planning and decision workflowsAgent interactions, escalation paths, and human‑in‑the‑loop controlsSimulation and synthetic data as discovery and validation toolsUse 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 QualityOwn outcome‑oriented roadmaps for IFS.ai Logistics capabilitiesConnect:Customer valueCommercial prioritiesPlatform and AI strategyUse discovery artefacts (prototypes, simulations, experiments) to:Justify roadmap decisionsAlign stakeholdersPush for the right solutions, not just faster deliveryAct as a strong partner — and challenger — to engineering:Raise the bar on quality, usability, and system behaviourEnsure AI features are production‑grade, not experimentalWhat Success Looks Like (6–12 Months)IFS.ai Logistics roadmaps are:Outcome‑drivenCredibleClearly connected to customer problemsPrototypes are routinely used to:Validate ideas earlyReduce delivery riskImprove engineering focusEngineering teams feel:ChallengedAlignedSupported by clear product directionCustomers trust and adopt AI‑enabled logistics capabilitiesWhy IFS.ai LogisticsIFS.ai Logistics combines AI, simulation, and optimisation to support complex logistics and supply‑chain decision‑making at scale.This role sits at the heart of that ambition — shaping how AI‑native products are discovered, designed, and delivered across the IFS portfolio.

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