Key Responsibilities

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.
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.
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.
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.
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.
Tech Stack Exposure

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
Serverless: AWS Lambda, AWS ECS, Fargate etc
Infrastructure \& CI/CD: Terraform, GitLab CI, GitOps
Cloud Services: Broad AWS ecosystem (IAM, CloudWatch, S3, ECS, API Gateway, etc.)
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.

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Platform Product Owner