This role asks for someone who can set and connect product strategy across several streams, keep delivery healthy, and tie every initiative to clear success metrics. A strong candidate brings at least five years of product management with measurable results on business facing platforms, plus real skill in turning customer and data insight into roadmaps. It also calls for steady stakeholder work across engineering, design, research, commercial and operations, and the ability to coach other product managers.
How it fits the AI era
The product sits on top of robots that scan stock daily and feed an AI digital twin, so the work is about making that data useful and trustworthy for warehouse managers. AI speeds up analysis and surfaces patterns, but deciding which problems matter, judging evidence and aligning teams stay human. The role leans on data fluency and experimentation rather than building models directly.
How it builds AI experience
A candidate would gain hands on exposure to AI and analytics deployed in live warehouse operations, learning how digital twin data becomes product decisions. Building that experience means showing past work where AI or data products were measured against business outcomes, and comfort with defining metrics and running experiments. Familiarity with hardware and software together helps, since the robots and the software are one system.
Worth showing
- Outcome based OKRs
- KPI and metrics design
- Customer discovery at scale
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Dexory
Autonomous robots scan every pallet in a warehouse each day, per the company, and feed an AI digital twin, so a warehouse manager can see real stock levels instead of what the systems assume.
Product Manager employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
