At a Glance
- Tasks: Lead the evolution of AI-driven logistics products and collaborate with customers to validate workflows.
- Company: IFS.ai Logistics, a leader in AI and optimisation for supply chain decision-making.
- Benefits: Flexible hybrid work, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and community.
- Why this job: Shape the future of logistics with cutting-edge AI technology and make a real impact.
- Qualifications: 5+ years in product management, experience in logistics, and strong prototyping skills.
The predicted salary is between 70000 - 90000 € per year.
We 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.
Role Summary
This is not a traditional “requirements writer” or coordination role. You will:
- Own product definition and delivery for AI-driven optimization capabilities
- Work directly with customers to explore and validate logistics decision-making workflows
- Personally craft prototypes, simulations, and experiments to shape product direction
- Actively push engineering teams to deliver high-quality, trustworthy, production-ready AI systems
You are expected to build, test, and learn, not just direct. You 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 Replit
- Creating lightweight working demos and agent behaviour experiments
- Using these artefacts to:
- Validate logistics workflows with customers
- Explore agent decision-making, failure modes, and trust
- Reduce risk before engineering investment
You do not need to be an engineer — but you must be hands-on and comfortable producing real artefacts that engineers can build from.
Lead discovery for agent-based and AI-first capabilities within IFS.ai Logistics. Work hands-on with:
- LLM-powered planning and decision workflows
- Agent interactions, escalation paths, and human-in-the-loop 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 outcome-oriented roadmaps for IFS.ai 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 production-grade, not experimental
What Success Looks Like (6–12 Months)
- IFS.ai Logistics roadmaps are:
- Outcome-driven
- 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 AI-enabled logistics capabilities
Why IFS.ai Logistics
IFS.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.
Product Management Basics
- 5+ years experience in software product management role
- Strong experience road-mapping and managing prioritisation within resource constraints
- B2B or Enterprise SaaS product management is essential
- Logistics/supply chain industry experience is essential
- 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
- Comfortable engaging deeply with engineers on technical trade-offs
- Uses data and artefacts — not opinions — to drive decisions
- Willing to push teams toward higher standards, not lowest-effort delivery
AI & Technical Fluency
- AI-native mindset with practical understanding of:
- Agents
- LLM-based workflows
- System limitations and failure modes
- Not a data scientist — but technically credible with AI and engineering teams
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.
Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics London, England, United[...] employer: Industrial and Financial Systems
IFS.ai Logistics is an exceptional employer that champions innovation and collaboration in the heart of London. With a strong focus on employee growth, we offer a dynamic work culture that embraces flexibility and hybrid working arrangements, allowing you to thrive both personally and professionally. Our commitment to fostering a sense of community ensures that you will be part of a team that values your contributions while driving the evolution of AI-native logistics solutions.
Contact Detail:
Industrial and Financial Systems Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics London, England, United[...]
✨Tip Number 1
Get your hands dirty! Don’t just sit back and wait for the perfect job to come to you. Dive into projects, create prototypes, and showcase your skills. This hands-on approach will not only boost your confidence but also make you stand out to potential employers.
✨Tip Number 2
Network like a pro! Connect with people in the industry through LinkedIn or local meetups. Share your insights on AI and logistics, and don’t be afraid to ask for advice. You never know who might have the inside scoop on job openings!
✨Tip Number 3
Showcase your work! Create a portfolio that highlights your prototypes, simulations, and any relevant projects. This is your chance to demonstrate your hands-on experience and how you can contribute to an AI-native product team.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who are eager to join our team. Make sure to tailor your application to highlight your experience in AI and logistics, and don’t forget to follow up after applying to show your enthusiasm!
We think you need these skills to ace Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics London, England, United[...]
Some tips for your application 🫡
Show Your Hands-On Experience:Make sure to highlight any hands-on experience you have with AI tools and product management. We want to see how you've crafted prototypes or worked directly with customers to validate workflows. This is your chance to show us you're not just about theory!
Be Clear About Your Impact:When detailing your past roles, focus on the outcomes you achieved. Use specific examples that demonstrate how your work has driven customer value or improved product delivery. We love seeing quantifiable results!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with our job description. Show us why you’re the perfect fit for the Senior Product Manager role at IFS.ai Logistics.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Industrial and Financial Systems
✨Know Your AI Tools
Familiarise yourself with the latest AI tools and technologies relevant to logistics and supply chain management. Be ready to discuss how you've used these tools in past projects, especially in prototyping and validating concepts.
✨Showcase Your Prototyping Skills
Prepare to demonstrate your hands-on experience with rapid prototyping. Bring examples of prototypes or simulations you've created, and be ready to explain how they helped shape product direction and validate customer workflows.
✨Understand the Customer's Perspective
Research the company's customers and their pain points in logistics decision-making. Be prepared to discuss how you would engage with customers to explore and validate their workflows, showing that you can bridge the gap between user needs and product development.
✨Emphasise Collaboration with Engineering
Highlight your ability to work closely with engineering teams. Discuss how you've previously pushed for high-quality outcomes and how you ensure that AI features are production-ready, not just experimental. This will show that you understand the importance of collaboration in delivering successful products.
