Product Manager III

F5 F5 · Enterprise · Seattle, WA

Product Manager III to lead strategic modernization of enterprise systems supporting Customer Support and Success Teams, focusing on AI/ML driven automation within customer support workflows, including conversational assistants and automated knowledge generation, while ensuring security and compliance.

What you'd actually do

  1. Set long-term product strategy and roadmap for Customer Support and Success systems aligning to corporate OKRs and business partner priorities
  2. Design PLG efforts across Customer Support and Success: in-product triggers, guided onboarding, self-service funnels, activation metrics, and growth experiments that increase adoption and reduce costly assisted support
  3. Translate business requirements into Epics, Features, and User Stories with clear Acceptance Criteria
  4. Partner with InfoSec and Compliance teams to ensure AWS deployments meet security standards (FedRAMP, GovCloud, SOC 2, ISO 27001)
  5. Apply AI/ML concepts to identify opportunities for automation and intelligence within Customer Support and Success workflows

Skills

Required

  • Technical Product Management
  • Product Ownership
  • Business Systems
  • IT delivery roles for enterprise environments
  • designing and shipping enterprise-scale systems
  • customer support/service experience systems
  • cloud migration and modernization projects
  • AWS core services (Compute, Storage, Database)
  • Salesforce platform architecture
  • cloud migration patterns
  • enterprise system integrations
  • AI/ML driven automation
  • Agile execution
  • PLG thinking

Nice to have

  • AI/ML know-how
  • Azure DevOps
  • Jira

What the JD emphasized

  • enterprise-grade compliance
  • security standards (FedRAMP, GovCloud, SOC 2, ISO 27001)
  • responsible AI practices
  • data privacy
  • explainability
  • bias mitigation

Other signals

  • AI/ML driven automation
  • AI/ML concepts to identify opportunities for automation and intelligence
  • responsible AI practices with guardrails for data privacy, explainability, and bias mitigation classification, conversational assistants, and automated knowledge generation