Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.

The Okta

Secures AI Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era.

As organizations rapidly deploy AI, these non-human entities are acting with access to critical tools, often bypassing traditional perimeters and creating a 'Shadow AI' crisis. Our mission is to move identity from a reactive gatekeeper to a unified control plane, transforming AI risk into business ROI. We are driving innovation by defining the standards for Agentic Identity—including pioneer work with securing AI Agents and support for protocols like MCP.

You will be helping us build the infrastructure that allows enterprises to scale AI safely, ensuring every access decision—whether made by a human or an automated agent—is authenticated, authorized, and audited at scale. We’re looking for an Engineering Manager to lead the Agent Access Policies sub-team. Operating under the larger Okta Secures AI group, the Agent Access Policies team owns Agent Access Policies and enables least-privilege agentic access to enterprise resources, giving administrators per-agent control over which tools an agent may call and which employees it may act for.

This team works on policies that replace broad, connection-level agent access with per-agent, per-resource, per-tool policy decisions and enforcement evaluated at runtime on every request, including which employees a delegated agent is allowed to act for. Manage the team’s performance, goals, and career development, fostering a collaborative and inclusive environment where engineers can do their best work.



Partner with product management and technical leads to define the strategic direction and roadmap for the team Ensure the team maintains a high bar for quality, security, and operational excellence through effective processes, mentorship, and a focus on testing and automation.

Lead the team in adopting new technologies and practices, including the integration of AI into the software development lifecycle. Drive key projects from inception to delivery, ensuring effective cross-functional collaboration and clear communication with stakeholders. Recruit, hire, and retain top engineering talent, building a diverse and high-performing team for the long term.

Proven ability to lead, mentor, and develop a team of engineers, including performance management and career growth planning. Demonstrated experience managing technical projects from planning to execution, with a strong understanding of Agile methodologies (Scrum/Kanban) and CI/CD. Strategic mindset with experience contributing to product and technical roadmaps.

Technical Qualifications: A strong technical background in building scalable, secure, and high-performance web applications. Familiarity with server-side software architecture and frameworks including Java/C# and the Spring Framework. Understanding of web security principles, secure coding practices, and accessibility standards (WCAG).

Knowledge of cybersecurity principles and secure coding practice is a strong plus Prior experience leading a team of engineers through a meaningful shift in ways of working around AI adoption, developer tooling, or engineering culture change. Prior hands-on technical background in building, scaling, or securing AI-powered applications and agentic platforms is a strong plus.

Education and Training:



~ Bachelor’s or Master's degree in Computer Science or equivalent experience ~10+ years of software development experience, with at least 5 years of experience designing and building enterprise grade software ~2+ years managing engineering teams, balancing current feature/product development and maintaining existing features. It’s our expectation that our managers and leaders embody these core competencies: Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals. Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.

In addition, Okta offers equity (where applicable), bonus, and advantages, 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. The annual base salary range for this position for candidates located in Canada is between:: $168,000 CAD - $231,000 CAD Driving Social Impact Developing Talent and Fostering Connection + Community Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. 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.

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, pleaseclick here to view our full NYC AEDT Notice. #

📌 Manager, Machine Learning Engineering (Toronto)
🏢 Okta
📍 Toronto