Okta
Sr. Product Manager - Agentic Security
Toronto, Ontario, Canada · Senior
Sponsorship not specified$146k-$218kDetected 9 days ago
OAuthMachine LearningData AnalysisAgentic AIComplianceWireframingProduct ManagementProduct StrategyAgileResearchLeadershipCommunicationCollaborationProblem Solving
About the role
- The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured.
- This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code.
- Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces.
Responsibilities
- Product Strategy & Roadmap: Define and champion a clear product strategy and roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders.
- Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization.
- Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences.
- Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery.
- Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings.
- Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption.
- Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars).
- Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer.
- Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption.
- AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation.
Requirements
- AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents.
- Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime.
- Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments.
- Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments.
- Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle.
- Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned.
- Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs.
- Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization.
Compensation
- The annual base salary range for this position for candidates located in
- Below is the annual salary range for candidates located in Canada.
- Your actual salary will depend on factors such as your skills, qualifications, and experience.
Company info
- We are the team that builds solutions that protect our customer's Auth0 environments.
This listing is sourced directly from Okta's careers page and normalized into a canonical job model.