At a Glance
- Tasks: Lead the development of AI solutions for global mining operations and optimise data strategies.
- Company: Join a pioneering tech company transforming the industrial world with AI.
- Benefits: Enjoy unlimited holidays, flexible working, and paid parental leave.
- Other info: Collaborate with a global team and drive significant operational improvements.
- Why this job: Make a real impact in the future of Industrial AI and shape innovative technology.
- Qualifications: 5+ years in product management with a focus on complex software solutions.
The predicted salary is between 60000 - 80000 £ per year.
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.
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
- 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!
Product Manager in Cambourne employer: IntelliSense.io
IntelliSense.io is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about shaping the future of Industrial AI. Located in a vibrant tech hub, employees benefit from continuous professional development opportunities, a supportive team environment, and the chance to make a significant impact on real-time optimisation strategies for the minerals and metals industry.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager in Cambourne
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like IntelliSense.io!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at IntelliSense.io would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at IntelliSense.io through your school's career services!
We think you need these skills to ace Product Manager in Cambourne
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager position at IntelliSense.io. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at IntelliSense.io
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
