Principal Product Manager - Platform

United StatesFull-TimePrincipal
Salary not disclosed

Job Details

Languages
English
Experience
15+ years
Required Skills
AWSAgileArtificial IntelligenceCloud ComputingGCPMicrosoft AzureProduct ManagementSCRUMSoftware ArchitectureProduct DevelopmentStrategyServerlessCI/CDRESTful APIsMicroservicesSaaS

Requirements

  • 15+ years of deep Product Management experience, including owning large-scale technology platforms and developer-facing products.
  • Deep familiarity with Cloud platforms (AWS, Azure, GCP), SaaS business models, Microservices, Serverless computing, Event-Driven Architectures, and API-first design principles.
  • Experience managing Identity and Access Control (AuthN/AuthZ), OpenAPI, or platform security workflows.
  • Familiarity with how AI can be applied to product management workflows and platform use cases.
  • Ability to build platform services with empathy for developers.
  • Demonstrated ability to work closely with internal customers and build strong relationships.
  • Excellent skills in managing and prioritizing requirements, especially with conflicting needs.
  • High ownership mindset and ability to balance vision with short-term wins.
  • Outstanding communication skills, capable of engaging with diverse cross-functional teams.
  • Expertise in creating detailed product requirement documents (PRDs) and specifications.
  • Strong problem-solving abilities and strategic thinking.
  • Proficiency in defining and tracking KPIs and metrics.
  • Experience with Agile and Scrum methodologies.
  • Solid technical foundation, preferably with a degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Lead the end-to-end lifecycle of platform products from strategic planning to tactical execution.
  • Own and drive key horizontal platform capabilities like Identity and Access Control.
  • Define product roadmaps and strategy in partnership with engineering and security teams.
  • Collaborate with engineering to build solutions based on modern architectures (Cloud-native, SaaS, Microservices, Serverless, Event-Driven).
  • Drive a developer-centric approach for platform services.
  • Leverage AI-powered tools to improve workflows, analyze data, and enhance decision-making.
  • Work with cross-functional stakeholders to align priorities and gather requirements.
  • Ensure documentation, usability, and internal discoverability of products.
  • Drive KPIs reflecting platform usage, satisfaction, and adoption.
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