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Zendesk

Senior Principal Product Manager

Zendesk

Senior Principal Product Manager leading the AI Platform at Zendesk. Overseeing product strategy and driving adoption across teams.

Posted 7/1/2026full-timeMelbourne • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product strategy and roadmap development for AI platforms, with a strong focus on driving platform adoption and enhancing developer experience. Possesses a deep understanding of AI/ML concepts and the ability to manage complex, multi-layered platform initiatives.

Highest-signal resume keywords
Product Development ExperienceAI/ML InfrastructurePlatform EngineeringStakeholder ManagementDeveloper-Facing APIs

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI/ML ConceptsModel LifecycleAgent ArchitecturesDistributed ExecutionPlatform EngineeringExperimentation ManagementEvaluation PlatformsAgent FrameworksInternal ToolingDeveloper Platforms
Soft Skills
Exceptional CommunicationStakeholder ManagementBalancing Competing PrioritiesManaging AmbiguityDriving Consensus
Industry Keywords
Product StrategyRoadmap DevelopmentPlatform AdoptionInternal AI PlatformCross-Team Collaboration

About the role

Key responsibilities & impact
  • Own the end-to-end product strategy and roadmap for Zendesk's internal AI Platform
  • Drive platform adoption across vertical AI teams
  • Lead the development of Zendesk's A2A (Agent-to-Agent) layer and agent registry
  • Conduct internal user research and external industry research to define a forward-thinking roadmap
  • Collaborate with stakeholders to translate evolving machine learning and AI platform needs into clear, actionable requirements
  • Manage cross-team collaboration, prioritization, and trade-offs

Requirements

What you’ll need
  • 5+ years of product development experience
  • Significant experience in developer platforms, AI/ML infrastructure, or internal tooling at scale
  • Deep understanding of AI/ML concepts, model lifecycle, agent architectures, distributed execution, and platform engineering
  • Technical background and 10 years product management experience
  • Proven ability to drive platform adoption and developer experience for internal customers
  • Experience leading multi-layered platform initiatives with strong strategic vision
  • Demonstrated success managing experimentation and evaluation platforms, developer-facing APIs, agent frameworks, or AI developer ecosystems
  • Exceptional communication and stakeholder management skills
  • Skilled in balancing competing priorities, managing ambiguity, and driving consensus in complex environments
  • Passion for building scalable, reliable, and easy-to-use AI infrastructure products

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities