Platform Product Owner

Key Responsibilities:

1. Product Ownership & Stakeholder Management – 40%

• Act as the voice of the platform's users – mainly developers, ML engineers, and infrastructure teams.
• Define and prioritize the product backlog for the platform engineering team.
• Translate high-level product requirements into user stories with clear acceptance criteria.
• Work closely with stakeholders to align on platform goals, usage patterns, and pain points.
• Own sprint planning, backlog grooming, and cross-team coordination.

2. Platform Architecture & Technical Guidance – 20%

• Provide input on high-level architectural decisions around EKS, serverless designs, and multi-account AWS architecture.
• Collaborate with architects and senior engineers to evaluate tools and frameworks.
• Review technical designs to ensure alignment with business objectives and platform standards.
• Act as a bridge between business requirements and technical feasibility.

3. Roadmap Planning & Execution – 15%

• Define short and long-term roadmap for internal platform capabilities (e.g., CI/CD tooling, observability, infrastructure automation).
• Track feature delivery and adoption across teams.
• Lead regular planning and review meetings with platform stakeholders.

4. Developer Experience & Enablement – 15%

• Champion self-service capabilities that improve the developer journey.
• Promote adoption of best practices around GitOps, CI/CD pipelines, and automated deployment workflows.
• Gather and analyze feedback from internal users to iterate on platform features.

5. Documentation & Communication – 10%

• Create and maintain internal documentation for platform capabilities, APIs, and operational practices.
• Communicate changes, new features, and support processes across engineering teams.
• Contribute to onboarding guides and knowledge base articles.

You don't need to be hands-on every day, but you must understand and influence decisions across the following areas:

• Container Orchestration: Amazon EKS, Helm, ArgoCD
• APIs: REST/gRPC-based APIs, API lifecycle management
• MLOps: Support for ML workflows (e.g., model serving, experiment tracking)
• Security & Governance: RBAC, policy-as-code, least-privilege access

What We're Looking For:

• 5+ years of experience in Product Management, Technical Program Management, or Platform Engineering roles.
• Proven experience working on cloud-native platforms and internal tooling.
• Familiarity with platform architecture and modern DevOps practices.
• Strong communication skills and stakeholder management.
• Experience working in Agile teams and driving product lifecycle end-to-end.

Nice to Have:

• AWS Certification (e.g., Solutions Architect, DevOps Engineer).
• Exposure to MLOps tooling like Kubeflow, MLflow, SageMaker.
• Prior experience in a similar Platform Product Owner role.