Product Manager - AI Platform
Product Manager - AI Platform

Product Manager - AI Platform

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the product roadmap for our innovative AI platform and drive impactful features.
  • Company: Join Carbon3, a pioneer in the UK's sovereign AI infrastructure.
  • Benefits: Competitive salary, performance-linked rewards, and opportunities for growth.
  • Why this job: Shape the future of AI while working with top industry leaders.
  • Qualifications: Experience in AI workflows, product management, and strong UX instincts.
  • Other info: Dynamic environment with a focus on sustainable innovation and career development.

The predicted salary is between 36000 - 60000 £ per year.

Carbon3 is building the UK’s sovereign AI infrastructure platform, combining renewable energy, distributed compute, and full data ownership to power the next generation of sustainable innovation. Our platform includes:

  • Carbon3 Orchestrator: Full-stack AI infrastructure management – from VMs and Bare Metal all the way to dedicated endpoints, with storage and data services.
  • AI Studio: Agent-based low/no-code development environment – for development with open source LLMs.
  • Model Hub: Model hosting, deployment, and performance monitoring – MLOps, feature stores and tooling to manage development and production inference.
  • AI Mesh: UK-wide sovereign compute backbone, interconnected with a high-speed fabric.

Role summary: We are hiring a Product Manager to own the roadmap and delivery across our core AI platform components. You will translate technical vision into usable, secure, and scalable products that let enterprises build, deploy, and operate AI workloads with confidence. You will work across infrastructure, engineering, design, go-to-market, and customer success to drive platform usability, customer value, and roadmap execution. You will engage directly with customers to validate needs and convert insights into clear product definitions and measurable outcomes.

Key Responsibilities:

  • Own the end-to-end lifecycle for Orchestrator, Model Hub, and AI Studio from discovery through launch and iteration.
  • Define user-centred product requirements that balance technical feasibility, customer need, and commercial impact.
  • Run structured discovery with customers and partners; convert insights into a clear, prioritised roadmap.
  • Partner with engineering, design, and architecture to deliver high-quality features on time and to spec.
  • Establish UX and API standards for both technical personas (DevOps, ML engineers) and business users (AI leaders, data owners).
  • Build product collateral, demos, solution briefs, use-case documents, and blueprint assets to support sales and delivery.
  • Instrument products with telemetry and define adoption, engagement, and reliability metrics; report progress to leadership team.
  • Ensure platform compliance with UK and EU data residency, security, and sovereignty requirements in partnership with legal and security teams.

Required Qualifications:

  • Working knowledge of AI workflows, model deployment, MLOps, and GPU compute environments – you know what tools and infrastructure AI development teams need to build value in their organisations.
  • Strong understanding of both enterprise and start-up developer infrastructure and tooling requirements in the AI and HPC domains.
  • Extensive product management experience in enterprise software, cloud platforms, AI/ML tooling, or infrastructure products.
  • Proven track record shipping complex technical products, including developer-facing tools or orchestration platforms.
  • Strength in writing clear PRDs, mapping customer workflows, prioritising roadmaps, and facilitating agile delivery.
  • Proven UX instincts and ability to simplify complex systems for enterprise users.
  • Experience in early-stage or high-growth environments.

Preferred Experience:

  • Experience building or managing AI and data platform products such as Vertex AI, SageMaker, or Weights & Biases.
  • Familiarity with agent-based automation, orchestration stacks, and MLOps platforms.
  • Knowledge of modern enterprise data platforms and how they integrate with AI and ML workflows.
  • Background in developer relations, cloud-native product design, or applied AI.
  • Exposure to UK and EU cloud sovereignty, ESG mandates, or carbon tracking systems.

Why Join Carbon3.ai:

  • Work on a next-generation AI product.
  • Operate at the forefront: Be part of a fast-moving, high-investment market shaping the future of sovereign compute.
  • Engage with senior leaders: Work directly with executives across government, enterprise and the technology ecosystem.
  • Influence market position: Help shape Carbon3’s role in high-impact industries and strategic partnerships.
  • Benefit from growth: Participate in performance-linked rewards within a mission-driven, scaling organisation.

Product Manager - AI Platform employer: Carbon3ai Limited.

Carbon3.ai is an exceptional employer, offering the opportunity to work on cutting-edge AI products that are shaping the future of sovereign compute. With a strong focus on employee growth and performance-linked rewards, our collaborative work culture encourages innovation and engagement with senior leaders across various sectors. Join us in a mission-driven environment where your contributions directly impact high-stakes industries and strategic partnerships.
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Contact Detail:

Carbon3ai Limited. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product Manager - AI Platform

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Carbon3. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by diving deep into AI platforms and MLOps. Show us you know your stuff and can talk about how you'd tackle challenges in the role.

✨Tip Number 3

Don’t just apply; engage! When you submit your application through our website, follow up with a message expressing your enthusiasm for the role. It shows initiative!

✨Tip Number 4

Be ready to showcase your past experiences. We want to hear about your successes in product management and how you've driven results in AI or cloud platforms.

We think you need these skills to ace Product Manager - AI Platform

Product Management
AI Workflows
MLOps
GPU Compute Environments
Technical Feasibility Assessment
User-Centred Product Requirements
Roadmap Prioritisation
UX Design Standards
API Standards
Telemetry Instrumentation
Data Residency Compliance
Enterprise Software Experience
Cloud Platforms
Agile Delivery Facilitation
Developer Relations

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Product Manager role. Highlight your experience with AI workflows and product management, and show us how your skills align with our mission at Carbon3.

Showcase Your Achievements: Don’t just list your responsibilities; we want to see what you’ve accomplished! Use metrics and examples to demonstrate how you've successfully shipped complex technical products in the past.

Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and structure your thoughts logically. We appreciate a well-organised application that’s easy to read!

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!

How to prepare for a job interview at Carbon3ai Limited.

✨Know Your Product Inside Out

Before the interview, dive deep into Carbon3's AI platform and its components like Orchestrator, ModelHub, and AIStudio. Understand how they work together and be ready to discuss how your experience aligns with their functionalities.

✨Showcase Your User-Centric Approach

Prepare examples of how you've defined user-centred product requirements in the past. Be ready to explain how you balance technical feasibility with customer needs, as this is crucial for the role.

✨Demonstrate Your Collaboration Skills

Since the role involves working across various teams, think of instances where you've successfully partnered with engineering, design, or marketing. Highlight how you facilitated communication and drove projects forward.

✨Prepare for Technical Questions

Brush up on your knowledge of AI workflows, MLOps, and GPU compute environments. Expect questions that assess your understanding of these areas, so be ready to discuss tools and infrastructure that support AI development.

Product Manager - AI Platform
Carbon3ai Limited.
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