Intellisense
Product Manager
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Are you ready to deploy Agentic AI into the Industrial World?
IntelliSense.io is offering a great opportunity for a talented Product Manager to lead the development and delivery of Industrial AI agents for global Minerals and Metals operators. Today we are deploying AI-powered software solutions that drive real-time optimisation, delivering millions in value to some of the world’s largest industrial companies.
We are pioneers in Objective AI (ODAI) with fundamental physics that characterises the physical world with out-of-the-box industry-specific solutions. AI delivers high-value decision recommendations, acting as the brains of the operation. These recommendations are delivered to humans as their role-specific co-pilots augment human intelligence or direct to the execution systems (machines), making operations autonomous.
With a global team of 70 employees and offices across four continents, our HQ is in Cambridge, UK, with regional offices in Saudi Arabia, Chile, Australia, and Ireland.
About the Role
We are evolving our Industrial AI Operating System for the global mining sector from a suite of solutions into a unified platform. We're looking for a Product leader to own the foundational data architecture and cross-app consistency required for this transition. This role is ideal for an experienced professional who understands the critical impact of robust data strategy in industrial environments.
What You'll Own
- Data in/out governance: You will define and own how data enters and leaves the platform. Today that is ad hoc. You will replace it with a principled, scalable strategy (covering integration standards, ingestion rules, and egress governance) and make it stick across engineering and customer deployments.
- Cross-app feature strategy: Global optimisation configurations, Core Features (equations, alerts, and reports) that span every product and are the main tools of our agentic offering. Right now each app treats them differently. You will unify the strategy, resolve the inconsistencies, and produce specifications that engineering can build to consistently.
- Edge deployment: Our Edge recommendation layer is a core part of the product and the goal is to have it running on every mine. You will own decisions around model drift, update cadence, and auto-pause safety.
- Platform cost reduction: You will identify software patches and improvements that reduce the internal cost-to-mine, translating operational pain into a prioritised product roadmap.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
Essential
- 5+ years in enterprise software product management, owning a complex, multi-component product end-to-end
- Background in industrial, scientific, or process-industry software — mining, energy, manufacturing, chemicals, or similar
- Strong grasp of data integration patterns: APIs, event-driven architectures, ETL, and the governance challenges they bring
- Experience making cross-platform feature strategy decisions — what gets standardised, what gets customised, and why
- Able to move between strategic thinking and precise, buildable specifications without losing altitude
- Strong stakeholder management across engineering, sales, and customer success
- Experience working in highly automated, modern product operations environments
Nice to have
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Experience with edge computing or on-premise deployment in industrial environments
- Familiarity with ML model lifecycle management — drift detection, retraining, and what that means for end users
- Exposure to industrial data standards or ontologies (ISO 15926, OSDU, or similar)
- Experience working with mining, metallurgical, or geological domain experts
How We'll Measure Success
- A documented data strategy and governance framework in place and adopted by engineering
- Cross-app feature inconsistencies resolved and shipped as a unified standard
- Edge model drift policy defined, auto-pause safety specified, and customer communication framework live
- Measurable reduction in cost-to-mine from platform improvements
- Existing deployment base brought to a consistent, standardised state
Who You Are
You have spent your career making complex industrial or scientific software work for demanding customers. You understand that in this industry, a poorly governed data integration or an unexpected auto-pause event has real operational consequences, not just a ticket in the backlog. That understanding shapes how you write requirements, how you manage risk, and how you earn trust.
You are a systems thinker who can hold the end-to-end value chain in your head while staying precise about the detail that matters. You do not need a perfect brief to get started.
Why Join Us?
- Unlimited Holidays 🌴
- Flexible Working Conditions 🏡
- Paid parental leave and sick leave
- The opportunity to leave your mark on a game-changing technology company 🚀
Excited to shape the future of Industrial AI?
We’d love to hear from you!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills