This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

If you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context, you may be a good fit for this role.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations 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.

Staff Security Engineer

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

Responsibilities

The Staff Security Engineer is a key role for strengthening the organisation's security posture. You'll be responsible for performing security assessments of third-party integrations and connected apps, with a focus on mitigating API-related security risks. This position is vital for ensuring a 'secure-by-design' approach for critical systems within the organisation.

What You Will Do

• Lead Technical Security Reviews: Perform in-depth security reviews and threat modelling for complex enterprise applications and third-party integrations.

• Operationalize AI for Security: Take the lead in deploying and managing AI for Security use cases, such as integration security reviews, to automate and scale security operations.

• Risk Analysis & Documentation: Analyse and document API permissions and risk levels for major integrations (e.g., Salesforce, Slack, Google) to ensure they meet internal standards.

• Develop Workflow Processes: Collaborate with stakeholders to design and implement repeatable security review workflows, such as the Salesforce API Integration Review.

• Vulnerability & Control Gap Mitigation: Identify potential vulnerabilities and security control gaps in connected apps and recommend technical mitigation strategies to stakeholders.

• Report & Visualize Posture: Contribute to and maintain metrics and dashboards that demonstrate the organisation's overall security posture for leadership.

What You Bring

• Deep Technical Expertise: Proven experience in information security, specifically within application and enterprise security domains.

• API & Integration Specialist: Strong background in assessing and mitigating risks associated with third-party APIs and connected application ecosystems.

• Advanced Security Principles: Understanding of 'secure-by-design' principles and the 'least privilege' model.

• Practical Threat Modelling: Hands-on experience identifying attack vectors and conducting risk assessments for complex systems.

• Tooling & AI Proficiency: Experience working with security platforms for analysing application permissions and an interest or background in applying AI to streamline security tasks.

• Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.

• Education: A Bachelor's degree in Computer Science, information security, or a related field.

Benefits

In addition to the annual base salary range for this position, 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.

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You will be a member of the user well-being team, and your initial focus will be on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

Requirements:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred Qualifications:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

Compensation:

The annual compensation range for this role is $245,000-$285,000 USD.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time.

This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior.

Responsibilities

Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Vendor Operations

• Own end-to-end management of content moderation vendor relationships, including onboarding, performance management, quality assurance, and capacity planning
• Partner with internal stakeholders to define vendor scope, set SLAs, and evaluate vendor output quality on an ongoing basis
• Identify opportunities to scale content review operations efficiently as Anthropic's product surface area grows
• Develop and maintain standard operating procedures (SOPs) for all vendor-executed review workflows, ensuring consistency and accuracy across content

Regulatory Reporting and Enforcement

• Partner with Regulatory Operations to ensure that new product features and content surfaces are incorporated into Safeguards reporting workflows as they launch
• Own enforcement reporting for Regulatory Operations requirements, including maintaining and updating dashboards and tracking mechanisms that provide accurate, timely data to regulatory bodies
• Produce on-request read-outs of enforcement metrics over specified time ranges to support regulatory reporting obligations
• Identify and drive improvements to existing reporting infrastructure — including transitioning manual, spreadsheet-based workflows to more robust and scalable solutions
• Oversee the user-reported content review pipeline, including reviews submitted via the Content Reporting Form across all supported content surfaces
• Ensure SOPs for content review workflows are kept current as new features and surfaces are added
• Work collaboratively with the RegOps team to ensure intake processes are prepared to handle emerging report types (e.g., third-party MCP server reports)
• Maintain a strong understanding of Anthropic's policy framework to provide informed operational guidance and escalation support

Copyright Operations

• Oversee Safeguards copyright systems, ensuring the right operational processes are in place to handle copyright-related enforcement at scale
• Partner closely with the Regulatory Operations team to scale copyright operations as Anthropic's products grow, with a particular focus on reducing false positives and improving the accuracy of copyright enforcement workflows
• Identify gaps in current copyright operational processes and drive cross-functional solutions in collaboration with policy, legal, and engineering stakeholders

You may be a good fit if you:

• Have 5+ years of experience in trust and safety operations, content moderation program management, or a related field
• Have managed external vendor or contractor relationships, including performance management and quality assurance
• Are comfortable working across policy, legal, and operations teams to translate compliance requirements into practical workflows
• Have experience building or improving operational reporting, dashboards, or enforcement tracking systems
• Are highly organized, with a track record of maintaining rigorous documentation and SOPs in fast-moving environments
• Communicate clearly and precisely — both in writing and verbally — across technical and non-technical audiences
• Are energized by the challenge of building scalable systems in an environment where not everything is already figured out
• Care deeply about the responsible deployment of AI and the role enforcement operations plays in that mission

Strong candidates may also have:

• Experience working with regulatory reporting requirements, particularly in the context of online platforms or AI systems
• Familiarity with content moderation tooling and review workflows at scale
• Experience with copyright enforcement operations, including false positive mitigation strategies
• Background in policy enforcement, legal operations, or compliance program management
• Experience supporting or standing up a new operational function, including writing foundational SOPs and building institutional knowledge from scratch
• Comfort working with data and metrics to inform operational decisions and surface trends to leadership

The annual compensation range for this role is listed below.

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You'll lead the strategy, design, and execution of our QA program across FTE and vendor teams. Early on, you may be hands-on in building frameworks, calibrating reviews, and establishing reporting. As the program scales, you'll build and lead a team responsible for quality reviews, calibration, and performance insights across Support.

You'll work cross-functionally with Support, Learning & Knowledge, Support Operations, Product, and Engineering to ensure quality insights directly drive training, workflow improvements, automation strategy, and product feedback.

Responsibilities

• Build and lead the Support QA program, including evaluation frameworks, scoring models, review workflows, and calibration processes.
• Hire, develop, and manage QA specialists or analysts as the program scales.
• Define quality standards across ticket support, technical troubleshooting, and customer communication.
• Establish QA coverage strategy across FTE and vendor support teams.
• Lead calibration programs to ensure consistent quality standards across reviewers, teams, and regions.
• Partner with Learning & Knowledge to turn QA insights into training, onboarding improvements, and coaching strategies.
• Partner with Support Operations to embed quality signals into dashboards, reporting, and performance frameworks.
• Define and evolve quality standards for AI-assisted support, including agent assist usage, automation handoffs, and AI-generated content quality.
• Utilize Replit to build internal tooling and recommend external tooling when necessary to improve QA workflows and program scalability.
• Define and track key quality metrics (QA trends, CSAT correlation, escalation rate, escalation rate, repeat contact rate, policy adherence) and report insights to Support leadership.

Requirements

• 5+ years in Support Quality, Support Operations, Technical Support, or similar roles in a technology company.
• 2+ years in a people management or team leadership capacity.
• Experience building or significantly evolving a QA program, framework, or evaluation system.
• Strong understanding of customer support workflows, ticket lifecycle, and escalation patterns.
• Experience working with support platforms (Zendesk or similar) and QA tooling or review workflows.
• Strong analytical mindset with experience using data to identify trends and drive performance improvements.
• Experience working cross-functionally with Support leadership, Operations, and Enablement or Training teams.
• Strong written and verbal communication skills, including delivering structured performance feedback and coaching guidance.
• Experience working in fast-moving product environments with frequent releases and evolving workflows.
• Hands-on experience using AI tools (e.g., Replit, Claude, ChatGPT, or similar) to improve workflows, knowledge creation, training, or support operations.
• Experience managing or influencing quality across vendor or BPO support environments.

Nice to Have

• Experience designing QA programs for technical or developer-focused support environments.
• Experience building QA programs that support both human and AI-assisted support interactions.
• Experience partnering on support automation, routing, or workflow design decisions.
• Experience building QA dashboards, reporting frameworks, or performance analytics models.
• Background in coaching, enablement, or performance improvement programs.
• Experience scaling QA programs in high-growth or early-stage environments.

Bonus Points

• Has used Replit and built internal tooling
• Experience working with IDEs, terminals, or other common developer tools.

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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