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Senior Product Manager, AI Product/Design Lead - Supply Chain/LogisticsIFS • London, England, United Kingdom
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Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics

IFS
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
Postuler Maintenant

À propos

Senior Product Manager, AI Product/Design Lead - Supply Chain/Logistics
Full-time
IFS Referral Bonus Code: SH
Job Location: Hybrid
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a
global, diverse environment;
you will be joining a
winning team
with a
commitment to sustainability;
and a company where we get things done so that you can
make a positive impact
on the world.
We’re looking for innovative and original thinkers to work in an environment where you can
#MakeYourMoment
so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
Product Area:
IFS.ai Logistics
Location:
London / UK (Office based or Hybrid)
Reporting to:
VP Optimization & Simulation
Role Summary
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 .
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 Logisticscombines
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 roadmapping 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.
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  • London, England, United Kingdom

Compétences linguistiques

  • English
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