CARBON3

Product Manager – AI Platform

CARBON3

full-time

Posted on:

Location Type: Hybrid

Location: 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

Cloud

About the role

  • Own the end-to-end lifecycle for Orchestrator, ModelHub, 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

Requirements

  • Working knowledge of AI workflows, model deployment, MLOps, and GPU compute
  • 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
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI workflowsmodel deploymentMLOpsGPU computeproduct managementcloud platformsdeveloper-facing toolsorchestration platformsUX designagile delivery
Soft skills
user-centred product requirementsclear communicationprioritisationcollaborationcustomer insightssimplifying complex systemswriting PRDsmapping customer workflowsfacilitating agile deliverypartnering with stakeholders