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:

Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement

Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces

Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation

Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels

Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements

Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces

Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics

Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

Required

5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs

Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist

Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination

Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations

Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity

Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings

Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred

Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity

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

Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows

Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance

Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions

Education: At least a Bachelor's degree in a relevant field, or equivalent experience.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $230,000-$270,000 USD

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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:

• Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement
• Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces
• Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation
• Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels
• Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements
• Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces
• Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics
• Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

• 5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs
• Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist
• Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination
• Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations
• Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity
• Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings
• Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred qualifications include familiarity with the AI/ML ecosystem, experience conducting threat actor profiling or open-source investigations, and experience working with generative AI products.

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Responsibilities:

• Lead the Bangalore Fraud Operations Centre, managing team leads and senior associates
• Own core fraud investigations and complex investigations, including escalations and time-sensitive incident response in partnership with global Fraud/Risk stakeholders
• Establish and run the operating system for the org: goal setting, team cadences, SOPs, change management, queue health, SLAs, QA programs, calibration, and readiness for new products/markets
• Define, develop, and represent key operational and risk metrics for the Bangalore centre (through dashboards and recurring readouts), translating data into actions and priorities
• Drive process development and continuous improvement: root cause analysis, defect reduction, policy adherence, and consistency across reviewers and teams
• Partner with other Risk teams to evolve fraud tooling and workflows (manual and automated actioning), including safe rollout and measurement of changes
• Support outsourcing relevant workflows: identify transition candidates, design/standardize processes for hand off, and support training as needed
• Own staffing models, capacity planning, scheduling, hiring plans, onboarding, and training strategy to meet business needs while maintaining a high bar for quality and user experience
• Maintain close “floor” engagement: regularly dive into cases, review decisions, support frontline judgment, and ensure feedback loops translate into measurable improvements
• Partner with recruiting to define role profiles and interview loops, drive bar-raising hiring decisions, and build a diverse team
• Own career development and succession planning, team health and engagement
• Build a great culture, a destination workplace, fostering our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment

You are an operations leader who can scale fraud investigation and review programs while staying close to the details. You are fluent in running high-performing teams through clear metrics and operating cadence, and you can partner cross-functionally to evolve tooling and processes. You bring sound judgment, calm execution under pressure, and a bias toward data-backed solutions and measurable improvements in both fraud outcomes and user experience.

Minimum requirements:

• Experience leading cross-functional initiatives and driving change through ambiguity, including new workflows for new products, markets, or emerging fraud patterns
• Experience leading fraud, risk, trust & safety, or investigations operations in a high-scale environment, including managing managers/team leads
• Ability to partner effectively with internal globally distributed stakeholders and comfortable leading internal teams and vendors
• Proven ability to define and operationalize metrics (e.g., accuracy/quality, SLAs, throughput, loss outcomes, appeals/rework, user friction) and use data to drive priorities
• Comfort working across detection systems and manual/automated actioning systems; ability to translate operational needs into product/engineering requirements
• Strong operational background including new process launches, service delivery and strong at building operating models
• Excellent written and verbal communication skills, including presenting in operational reviews and representing the team in high-pressure escalations in English
• Skill and credibility doing the core work of a user-facing team with a high bar for quality, and a willingness to lead by example
• At least 7+ years of direct people management experience; this includes handling performance management and proactively coach/mentor individuals
• Experience with payments, risk, compliance, or financial industry operations

Preferred qualifications:

• Demonstrated ability to run an operations centre: capacity planning, scheduling, queue management, performance management, and quality programs
• Strong fraud domain depth across investigation workflows, risk vectors, and decision frameworks; able to independently review cases and guide frontline judgment
• Experience scaling or transforming fraud review operations through process redesign, tooling improvements, and/or vendor partnerships
• Experience with payments risk (CNP/card testing, ATO, merchant fraud, transaction fraud) and familiarity with how upstream detection and downstream enforcement interact
• Strong analytics proficiency (building/owning dashboards; querying data directly) and comfort partnering deeply with data science/engineering
• Experience operating in a global, follow-the-sun model and partnering across time zones

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