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About the Role

Serve as a technical lead and subject matter expert on an agile, high-impact team, conducting technology, cybersecurity, and AI-related audit engagements. Independently drive audit execution across various departments with minimal supervision, contextualize control gaps, mentor junior team members, and foster continuous improvement.

Responsibilities

• Independently lead technology, cybersecurity, and AI-related risk assessments to identify key enterprise risks, define audit scope, and prioritize testing strategies.
• Design comprehensive, risk-based audit programs and testing procedures tailored to the technology environment.
• Apply professional judgment in setting audit objectives, sequencing fieldwork, and managing competing priorities.
• Independently lead process walkthroughs and execute fieldwork in alignment with Internal Audit methodology.
• Evaluate the design and operational effectiveness of key technology, cybersecurity, and AI-related controls.
• Prepare detailed workpapers documenting scope, testing results, evidence, and conclusions.
• Leverage data analytics, AI tools, and emerging technologies to enhance audit efficiency and evaluate AI/ML controls.
• Contribute to the identification and documentation of process improvements within the Internal Audit methodology.
• Pinpoint systemic root causes of control weaknesses and associate them with specific business processes.
• Contextualize audit findings and recommendations within Okta's wider risk, control, and governance environment.
• Draft clear, concise audit reports presenting findings with appropriate business impact framing.
• Gain independent stakeholder agreement on root cause conclusions and corrective actions.
• Partner with teams to track and ensure the timely completion of agreed-upon remediation activities.
• Provide risk-based advisory support to management during business process improvements, new system implementations, or emerging technology assessments.
• Mentor and provide structured guidance to Associate and Staff Auditors on audit methodology and workpaper standards.
• Champion Internal Audit methodology standards across the team, identifying and proposing improvements.

Requirements

• Bachelor's degree in Computer Science, Information Systems, STEM, Accounting, or a related field.
• 3-6 years of audit experience with a focus on technology, cybersecurity, or related field.
• 2+ years of audit experience in diverse technology environments (e.g., operating systems, networks, public/private cloud, third-party cloud-based applications and platforms).
• 2+ years of audit experience with technology operational processes (e.g., software development lifecycle, system integration and monitoring, data protection, identity and access management).
• Experience assessing emerging AI risks (e.g., generative AI, ML models, automated decisioning, AI-enabled third-party services).
• Demonstrated ability to execute complex audit engagements independently, with minimal supervisory oversight.
• Proven ability to identify and articulate systemic root causes of control deficiencies.
• Strong understanding of IT general controls (ITGCs) and IT application controls (ITACs), including cybersecurity, SDLC, access and change management, logging and monitoring, disaster recovery, and cloud computing.
• Technical expertise in IT systems including infrastructure, cybersecurity, and familiarity with IT governance frameworks (e.g., NIST CSF, COBIT, ISO 27001).
• Strong analytical and critical thinking skills.
• Strong written and verbal communication skills, including interviewing skills and the ability to effectively present audit findings.
• Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI, or equivalent).
• Familiarity with AI-assisted audit tools (e.g., Claude, NotebookLM, Gemini).
• Excellent interpersonal skills, with demonstrated ability to independently manage client relationships.

Skills

• Technology Auditing
• Cybersecurity Auditing
• AI Auditing
• Risk Assessment
• Audit Program Design
• Control Evaluation
• Workpaper Preparation
• Data Analytics
• AI Tools
• Root Cause Analysis
• ITGC
• ITAC
• NIST CSF
• COBIT
• ISO 27001
• SQL
• Python
• Tableau
• Power BI
• Stakeholder Management
• Mentoring

Location

• San Francisco

Work Type

• Hybrid

Experience Level

• Senior
• 3-6 years
• 2+ years

Education Level

• Bachelor's degree in Computer Science, Information Systems, STEM, Accounting, or a related field

Salary/Compensations

• $117,000—$160,600 USD (San Francisco Bay Area)
• $104,000—$143,000 USD (California excluding San Francisco Bay Area, Colorado, Illinois, New York, Washington)

Benefits

• Equity (where applicable)
• Bonus
• Health insurance
• Dental insurance
• Vision insurance
• 401(k)
• Flexible spending account
• Paid leave (including PTO and parental leave)

About the Company

• Okta is the foundation for secure connections between people and technology.
• Harnessing the power of the cloud, Okta allows people to access applications on any device at any time, while still enforcing strong security protections.
• Integrates directly with an organization's existing directories and identity systems.
• Thousands of customers, including Adobe, Allergan, Chiquita, LinkedIn, and Western Union, trust Okta to help their organizations work faster, boost revenue, and stay secure.
• To learn more about Okta, visit: https://www.okta.com.

Equal Opportunity

• 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.