Platform Product Manager

CARBON3

Technical Platform Product Manager at Era4 developing AI cloud infrastructure for enterprise customers. Focus on improving developer workflows and defining validation strategies with engineering teams.

Posted 7/7/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AnsibleCloudKubernetesTerraform

About the role

Key responsibilities & impact

Embed with engineering to act as the voice of the customer and own the validation strategy for developers.
Define acceptance criteria, real-world workflows, and release strategy with platform engineering.
Make Era4’s AI cloud platform easier to operate and consume by turning developer workflows, failure modes, incidents, and the developer experience into roadmap priorities.
Execute integration testing in staging environments, work closely with the platform engineers to build repeatable test frameworks, and shadow internal and external AI infrastructure engineers to translate their real-world usage patterns into automated in-house test cases.
Establish strict quality gates, performance SLOs, and scheduling benchmarks for compute and orchestration services before production deployment.
Review, refine, and author technical guides, API documentation, and CLI guides, using them as blueprints for testing the platform.

Requirements

What you’ll need

Proven experience of infrastructure across bare metal, virtualisation, and Kubernetes.
Track record designing comprehensive test strategies, validation frameworks, and acceptance criteria for highly technical cloud-native, API, or infrastructure-as-a-service (IaaS) products.
Analyse infrastructure services, CLIs, and APIs from a developer’s perspective to identify friction points, usability gaps, and reliability risks.
Working knowledge of modern CI/CD pipelines, automated testing, and automation tooling (e.g., GitLab CI, GitHub Actions, Terraform, Ansible) to help engineering shape automated quality gates.
Prior experience in a highly technical role embedded directly within a core infrastructure or platform engineering team.
Exposure to high-performance computing (HPC) setups, large-scale cluster scheduling (e.g., Slurm), or infrastructure optimized for heavy AI/ML training workloads would be an advantage.
Knowledge writing or structuring technical documentation, API reference guides, and developer tutorials from scratch.

Benefits

Comp & perks

Diversity & Inclusion : Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Test Framework DevelopmentAcceptance Criteria DefinitionIntegration TestingAPI AnalysisCloud-Native Product Validation

Soft Skills

CollaborationAnalytical ThinkingCommunication