Senior Product Manager - Agentic Security (Auth0)
Okta is hiring a Senior Product Manager - Agentic Security (Auth0) in Toronto, Canada. It pays CAD 146k-CAD 218k a year and Level rates it ; you can apply on Okta.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Claude, Claude Code and AI agents.
- Level classifies it as a senior role.
- Level lists 388 other open roles at Okta.
AI in this role
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About the Role
We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision.
We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors.
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.
A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection — including scenarios where an agent may have been compromised or infiltrated.
Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors — Account Takeover (ATO), resource draining, and fraudulent account creation — as well as their evolving equivalents in multi-agent and autonomous system environments.
Key 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.
- Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. 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.
Required Qualifications
- 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. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection.
- Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments.
- Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field.
- General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2).
- Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization.
- 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.
- Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role.
- Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization.
#LIHybrid
#P-1164.1
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. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.
The annual base salary range for this position for candidates located in Canada is between:$146,000—$218,000 CADThe Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
How we rate this
Senior Product Manager - Agentic Security (Auth0) at Okta rates 77 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI product manager job
- $180k
Use the typical AI product manager figure as a reference when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Claude Code that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents, Claude, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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