Who we are

About Stripe 

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Analyze accounts and transactions to identify and predict risky behavior that could result in losses for Stripe or pose challenges to the broader payments ecosystem. 
• Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design strategies and solutions that might range from ML model features to manual review workflows. 
• Work with internal partners like Engineering, Product, Data Science and Operations to develop solutions that would mitigate fraud risk across different geographies, payment methods and products. 
• Work with Stripe users to educate them about and help prevent potential risks to their business. 
• Challenge the payments industry status quo to help enable innovative businesses to flourish online.

Who you are

Minimum requirements

Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Statistics, Finance, Engineering, or a related quantitative field plus 4 years of experience as a Risk or Fraud Strategist or a related occupation.

Must also have 3 years of experience in each of the following:

• Payments-related domains, including regional payment methods, risk management, fraud prevention, or trust and safety operations;
• Working with quantitative tools including Python, R or Stata;
• Using SQL;
• Project Management analytical tools including Jira, Asana, and Gantt charts;
• Predictive Analytics;
• Machine Learning;
• A/B Testing; and
• Databricks and Airflow.

Salary: $121,600.00 - $182,400.00 /yr.  

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

100 % Telecommuting permitted

Multiple Positions Available. 

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.CA62

#LI-DNI

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture.

We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer.

The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia.

What you'll do

As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Beyond assessments, you'll design and build offensive tooling and automation that amplifies the team's impact. You'll leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company.

Responsibilities

• Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure
• Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios
• Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams
• Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity
• Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks
• Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required
• Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage
• Build internal platforms and workflows that enable scalable, repeatable offensive operations
• Contribute to internal security tooling repositories and champion engineering best practices within the team
• Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices
• Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders
• Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives
• Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing
• Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in offensive security, penetration testing, red teaming, or a related field
• Strong programming skills in Python, Go, or similar languages, with demonstrated experience building tools, automation, or custom exploits
• Deep knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability classes (injection, auth flaws, business logic, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud-native attack techniques and misconfigurations
• Proficiency with offensive tooling such as Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound, or similar frameworks
• Familiarity with adversary tradecraft and frameworks such as MITRE ATT&CK, including TTPs for initial access, privilege escalation, lateral movement, and exfiltration
• Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, risk-based recommendations
• Ability to think like an adversary — creative, persistent, and able to holistically assess risk in complex environments

Preferred qualifications

• Experience conducting offensive security in fintech, financial services, or other highly regulated environments
• Background in vulnerability research, exploit development, or CVE discovery
• Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations)
• Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support
• Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows
• Interest or experience in agentic automation — using LLMs or autonomous agents to augment reconnaissance, vulnerability discovery, or exploitation workflows
• Experience testing AI/ML systems or LLM-based applications for security weaknesses (prompt injection, training data extraction, model manipulation, etc.)
• Contributions to open-source security tools, published research, blog posts, or conference presentations
• Relevant certifications such as OSCP, OSWE, OSEP, OSED, CRTO, CPTS, PNPT, GXPN, or cloud security certifications

Location

This role is remote within the United States. While you are welcome to visit Stripe offices for team meetings, on-sites, and events, our expectation is that you would regularly work from home. The team primarily coordinates across Eastern and Pacific time zones, with regular collaboration with stakeholders in Europe and Asia.

Compensation & Benefits

The annual US base salary range for this role is $170,400 – $255,700. This range may span multiple career levels and will be refined during the interview process based on experience, qualifications, and location.

Additional benefits include:

• Equity participation in Stripe's growth
• 401(k) plan with matching contributions from day one
• Comprehensive medical, dental, and vision coverage
• Wellness stipends
• Annual budget for training, certifications, and conference attendance

Who we are  

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

You'll be joining the Finance Operational Excellence team, reporting to the Head of Finance Operational Excellence. We are finance transformation and AI experts working side-by-side with Finance, Product, and Engineering teams to redefine processes and build the finance organization of the future. This is an opportunity for someone who enjoys working across disciplines: part solution developer, part data architect, part workflow designer, and part coach. You’ll have room to shape how applied AI is built and scaled both from a technical and end-user perspective.

What you’ll do

You'll work side-by-side with Finance subject matter experts to understand how work gets done, identify the highest impact opportunities, and partner with domain teams to chart a transformation plan which balances future ambitions with rapid impact.  You'll work independently to automate manual processes, design and build agents and required data solutions using internal platforms, and enable Finance teams to maintain these solutions long-term. 

You’ll build with your partner teams, not simply deliver solutions to them. You’ll help colleagues move from a manual workflow, to a first AI-enabled win, to a reliable solution they can confidently operate and improve themselves. Success means the workflow stays transformed after the initial build, the team trusts the output, and the people closest to the process can own what comes next. 

You’ll favor learning through building. When possible, you’ll put a useful prototype in front of a Finance user, test it against a real deliverable, and improve it quickly rather than spend weeks describing a theoretical future state. When you encounter platform limitations—which you will—you’ll find creative, supportable approaches, collaborate with Engineering to scope and test custom tools, and escalate strategically when needed.

This role requires a blend of process automation, data operations, technical problem-solving, and stakeholder enablement. You'll spend your time building agents, optimizing data pipelines that feed them, creating knowledge layers that make them more accurate, and training Finance teams to use and maintain them. Success means Finance teams can independently run agents you've built while you provide light support and focus on the next automation opportunity.

Responsibilities

• Embed with Finance teams to diagnose workflows, identify high-leverage opportunities, and translate business, data, and control requirements into practical AI and automation solutions.
• Build and operationalize AI agents for Finance use cases, delivering end-to-end solutions from prototype through validation, monitoring, documentation, and handoff.
• Write and optimize SQL for data extraction, transformation, calculation, and validation, ensuring Finance-facing outputs are accurate, explainable, and reliable.
• Design reusable knowledge layers, evaluation methods, validation patterns, data-quality frameworks, and components that improve agent accuracy and accelerate future use cases.
• Identify agentic limitations and new possibilities; determine when to use existing capabilities, develop an alternative approach, or partner with Engineering to scope and test custom tools and integrations, including tools using Model Context Protocol where appropriate.
• Build alongside users, gather feedback through real deliverables, and iterate until the solution fits the workflow and earns user trust.
• Enable long-term ownership through clear SOPs, runbooks, training, and self-service tooling; coach Finance teams to operate, maintain, and evolve what has been built.
• Establish monitoring and observability for deployed agents, including metrics, alerting, and incident-response processes that support reliable operation.
• Diagnose technical and data issues, resolve problems independently where possible, and collaborate with Engineering when solutions require deeper platform changes.
• Measure adoption and impact, share lessons and wins, and turn successful implementations into standards, components, and playbooks for the broader Finance AI portfolio.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in data analytics, technical operations, business intelligence, automation, solutions delivery, or a related field.
• Of which, 2+ years of experience in program management, working directly alongside business leaders to develop and execute process transformation programs
• Hands-on experience building AI-enabled tools, agents, automations, or workflows that changed a real business process—not solely using AI as a conversational tool, 
• Strong SQL proficiency, including experience writing complex queries using CTEs, window functions, and joins for data analysis, transformation, or pipeline logic.
• A track record of independently scoping and delivering technical solutions for process improvement, demonstrating ownership from problem definition through adoption.
• Strong analytical and investigative skills, including the ability to identify root causes, debug complex data problems, and resolve inconsistencies.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and work effectively with domain experts and Engineering partners.
• Experience teaching, coaching, enabling users, or transferring ownership of a solution through documentation, training, or self-service tools.
• Working knowledge of development practices such as version control, testing, code review, and iterative delivery.
• Experience using low-code tools, scripting, workflow automation, AI-assisted development, or custom integrations, paired with curiosity and the ability to learn evolving technologies.

You will also likely have (not required):

• Domain experience in Finance Operations, Financial Planning & Analysis (FP&A), Accounting, Treasury, Tax, Payments, or other areas.
• Familiarity with modern data tools and practices, such as Python, Databricks, ETL/ELT processes, data pipelines, and data-quality controls.
• Experience with Model Context Protocol or another extensibility or integration framework.
• Experience navigating financial systems and understanding how data flows through accounting, reporting, reconciliation, forecasting, or payments processes.
• Experience with change management, organizational transformation, or large-scale enablement programs.
• Experience building internal tools, templates, components, or playbooks that were adopted beyond the original team or use case.
• Experience working in a high-growth technology company with rapidly evolving processes and tools.

Note on technical depth: This role involves working at the intersection of no-code AI tools and custom development. While software engineering expertise is not required, you should be comfortable applying technical concepts, collaborating closely with Engineering teams, and using AI-assisted development tools to extend platform capabilities when needed.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE uses real-world attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale.

We partner closely with Fraud, Risk, Abuse Research, and Product Engineering to run rigorous experiments that balance effective risk mitigation with legitimate user activity and conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites to prevent threats from recurring and transfers mature controls to long-term product owners across Stripe.

What you’ll do

As an Abuse Control Engineer on the ACE team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors.

When emerging threat patterns reveal weaknesses in Stripe products, ACE rapidly builds and experiments with technical safeguards. Guided by empirical evidence and Stripe’s Fraud Taxonomy 3.0 (FT3) framework, you will translate threat intelligence into precise technical control requirements, such as API rate limits, step-up challenges, parameter validation, and pre-debit holds.

You will run experiments to evaluate risk reduction against the impact on legitimate user conversion, carefully balancing security and product velocity. You will manage controls through a structured incubation lifecycle, build automated regression suites to prevent threats from recurring, and partner with product engineering teams to transfer mature, long-term defenses.

Responsibilities

• Rapid control prototyping: Design, prototype, and deploy technical controls across API, protocol, and product boundaries to address high-impact abuse vectors.
• Evidence-based technical requirements: Translate empirical attacker evidence and FT3 threat research from Abuse Research, Fraud, and Security teams into precise technical abuse requirements and control specifications.
• Control co-design: Collaborate with teams across Stripe to design resilient, secure controls across payments, onboarding, identity, and Connect surfaces.
• Risk experimentation: Run rigorous experiments and A/B tests to measure risk reduction against the impact on legitimate user conversion, optimizing controls to minimize friction while neutralizing threats.
• Regression testing: Build comprehensive regression test suites and automated attack simulations with Abuse Research to ensure mitigated abuse vectors do not recur.
• Stakeholder management: Execute ACE’s incubation model by defining handoff criteria, operational documentation, timelines, and target dates for transferring successful controls to product teams.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience in security engineering, software engineering, application security, or anti-abuse engineering in a high-scale production environment.
• A bachelor’s or master’s degree in computer science, cybersecurity, software engineering, or a related technical field, or equivalent practical experience.
• A strong software development background, with proficiency in Python, Go, Java, or a similar production programming language, as well as advanced SQL skills for analyzing system telemetry.
• Experience using frontier AI models for software development, learning, and analysis.
• Hands-on experience building API-level safeguards, rate-limiting frameworks, authentication or authorization checks, or input-validation controls.
• Experience with automated testing frameworks, including writing unit, integration, and regression tests for critical backend software.
• Strong cross-functional collaboration and communication skills, with a track record of partnering across security, product, and platform teams to drive technical outcomes.

Preferred qualifications

• A track record of designing and executing A/B tests, evaluating control efficacy, and balancing security safeguards against user conversion friction.
• Expertise in threat modeling, secure systems architecture, and modern application-security design principles.
• Familiarity with established threat frameworks, such as FT3 or MITRE ATT&CK, and experience applying adversary kill-chain analysis to build resilient defenses.
• Knowledge of financial fraud vectors, threat-actor tactics, techniques, and procedures, and attacker infrastructure, including account takeover, card testing, and credential stuffing.
• Hands-on experience with large-scale data-processing platforms, such as Databricks, Trino, or PySpark, to monitor and measure control performance across distributed systems.
• Experience incubating software features, establishing clear operational handoff criteria, and transitioning ownership to partner engineering teams.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE uses real-world attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale.

We partner closely with Fraud, Risk, Abuse Research, and Product Engineering to run rigorous experiments that balance effective risk mitigation with legitimate user activity and conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites to prevent threats from recurring and transfers mature controls to long-term product owners across Stripe.

What you’ll do

As an Abuse Control Engineer on the ACE team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors.

When emerging threat patterns reveal weaknesses in Stripe products, ACE rapidly builds and experiments with technical safeguards. Guided by empirical evidence and Stripe’s Fraud Taxonomy 3.0 (FT3) framework, you will translate threat intelligence into precise technical control requirements, such as API rate limits, step-up challenges, parameter validation, and pre-debit holds.

You will run experiments to evaluate risk reduction against the impact on legitimate user conversion, carefully balancing security and product velocity. You will manage controls through a structured incubation lifecycle, build automated regression suites to prevent threats from recurring, and partner with product engineering teams to transfer mature, long-term defenses.

Responsibilities

• Rapid control prototyping: Design, prototype, and deploy technical controls across API, protocol, and product boundaries to address high-impact abuse vectors.
• Evidence-based technical requirements: Translate empirical attacker evidence and FT3 threat research from Abuse Research, Fraud, and Security teams into precise technical abuse requirements and control specifications.
• Control co-design: Collaborate with teams across Stripe to design resilient, secure controls across payments, onboarding, identity, and Connect surfaces.
• Risk experimentation: Run rigorous experiments and A/B tests to measure risk reduction against the impact on legitimate user conversion, optimizing controls to minimize friction while neutralizing threats.
• Regression testing: Build comprehensive regression test suites and automated attack simulations with Abuse Research to ensure mitigated abuse vectors do not recur.
• Stakeholder management: Execute ACE’s incubation model by defining handoff criteria, operational documentation, timelines, and target dates for transferring successful controls to product teams.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience in security engineering, software engineering, application security, or anti-abuse engineering in a high-scale production environment.
• A bachelor’s or master’s degree in computer science, cybersecurity, software engineering, or a related technical field, or equivalent practical experience.
• A strong software development background, with proficiency in Python, Go, Java, or a similar production programming language, as well as advanced SQL skills for analyzing system telemetry.
• Experience using frontier AI models for software development, learning, and analysis.
• Hands-on experience building API-level safeguards, rate-limiting frameworks, authentication or authorization checks, or input-validation controls.
• Experience with automated testing frameworks, including writing unit, integration, and regression tests for critical backend software.
• Strong cross-functional collaboration and communication skills, with a track record of partnering across security, product, and platform teams to drive technical outcomes.

Preferred qualifications

• A track record of designing and executing A/B tests, evaluating control efficacy, and balancing security safeguards against user conversion friction.
• Expertise in threat modeling, secure systems architecture, and modern application-security design principles.
• Familiarity with established threat frameworks, such as FT3 or MITRE ATT&CK, and experience applying adversary kill-chain analysis to build resilient defenses.
• Knowledge of financial fraud vectors, threat-actor tactics, techniques, and procedures, and attacker infrastructure, including account takeover, card testing, and credential stuffing.
• Hands-on experience with large-scale data-processing platforms, such as Databricks, Trino, or PySpark, to monitor and measure control performance across distributed systems.
• Experience incubating software features, establishing clear operational handoff criteria, and transitioning ownership to partner engineering teams.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE bridges the gap using real attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale. We partner closely with Fraud, Risk and Product Engineering to run rigorous experiments, balancing aggressive risk mitigation against legitimate user conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites in partnership with Abuse Research to permanently block threat recurrence and seamlessly transfers mature controls to long-term product owners across Stripe.

What you’ll do

As an Abuse Control Engineer on the Abuse Control Engineering (ACE) team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors.

Where emerging threat patterns identify Stripe product weaknesses, ACE steps in to rapidly build and experiment with technical safeguards. Driven by empirical evidence and Stripe’s FT3 (Fraud Taxonomy 3.0) framework, you will translate threat intelligence into hard technical control requirements (e.g., API rate-limiting, step-up challenges, parameter validation, pre-debit holds).  You will carefully balance security and product velocity, running experiments to evaluate risk reduction against user conversion impact. Managing controls through a strict incubation lifecycle, you will build automated regression suites to prevent recurrence and partner with native product teams to hand off mature, long-term defenses.  

Responsibilities

• Rapid Control Prototyping: Design, prototype, and deploy technical controls across API, protocol, and product boundaries to immediately close high-impact abuse vectors.  Evidence-Based Technical Requirements: Translate empirical attacker evidence and FT3 threat research Abuse Research, Fraud and Security into precise technical abuse requirements and control specifications. 
• Control Co-Design: Collaborate closely with teams across Stripe to co-design resilient, secure controls across payment, onboarding, identity, and Connect surfaces.  
• Risk Experimentation: Run rigorous experiments and A/B tests to measure risk reduction against legitimate user conversion impact, optimizing controls to minimize friction while neutralizing threats.  
• Regression Testing: Build comprehensive regression testing suites and automated attack simulations with Abuse Research to ensure mitigated abuse vectors do not recur. 
• Stakeholder Management: Execute ACE’s incubation model by defining handoff criteria, operational documentation, and target dates to transfer successful controls to product teams.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 3+ years of experience in Security Engineering, Software Engineering, Application Security, or Anti-Abuse Engineering in a high-scale production environment.
• B.S. or M.S. in Computer Science, Cybersecurity, Software Engineering, or a related technical field, or equivalent practical experience.
• Strong software development background with expert proficiency in Python, Go, Java, or similar production languages, alongside expert SQL skills for analyzing system telemetry.
• Hands-on engineering experience building API-level safeguards, rate-limiting frameworks, authentication/authorization checks, or input validation controls.
• Demonstrated experience with automated testing frameworks, including writing unit, integration, and regression tests for critical backend software.
• Strong cross-functional collaboration and communication skills, with a track record of partnering across security, product, and platform teams to drive technical outcomes.

Preferred qualifications

• Proven track record of designing and executing A/B tests, evaluating control efficacy, and balancing security safeguards against user conversion friction.
• Deep expertise in threat modeling, secure system architecture, and modern application security design principles.
• Familiarity with established threat frameworks (e.g., FT3, MITRE ATT&CK) and applying adversary kill chain analysis to build resilient defenses.
• Strong domain knowledge of financial fraud vectors, threat actor TTPs, and attacker infrastructure (e.g., Account Takeover, Card Testing, Credential Stuffing).
• Hands-on experience with large-scale data processing platforms (e.g., Databricks, Trino, PySpark) to monitor and measure control performance across distributed systems.
• Demonstrated capability in incubating software features, establishing clear operational handoff criteria, and seamlessly transitioning ownership to partner engineering teams.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team  works directly with impacted merchants to resolve technical incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world.

What you’ll do

You'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. By collaborating cross-functionally, you will drive improvements that enhance our fraud detection and prevention strategies at scale. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision.

Responsibilities

• Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate response.
• As part of incidents, analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors, classifying them using FT3 (Fraud Taxonomy 3.0) to standardize threat intelligence.
• Lead incident root cause analyses to identify gaps in current systems and strategies, leveraging the FT3 framework, data-driven model to drive enhancements and process improvements for emerging fraud risks.
• Streamline incident response capabilities, ensuring the tooling and processes are clear, accurate and efficient
• Work cross-functionally with security, fraud and data science teams to build agentic solutions for responding to abuse incidents at scale
• Effectively communicate cross-functionally with legal and policy teams to assess and mitigate risks, while demonstrating strong problem-solving under pressure.
• Collaborate effectively with teammates, leading projects, mentoring others, and developing and championing quality standards within the team

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience conducting incident response in security, product abuse or trust domains
• 10+ years experience analyzing large data sets to solve problems and/or building models with a behavioral approach to fraud detection
• B.S. or M.S. Computer Science or related field, or equivalent experience
• Expert knowledge of Python and SQL, and familiarity with other programming languages
• Existing experience with log analysis (e.g. first or third party applications, system / data access, event logs), network security, digital forensics, and incident response investigations
• Ability to communicate results clearly and focus on impact
• Ability to think creatively and holistically about reducing risk in a complex environment

Preferred qualifications

• An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors.
• Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.)
• Familiarity with common open-source frameworks for big data processing and/or data science (PySpark, Pandas, Sci-kit Learn, etc.)
• Experience with tactical threat intelligence and/or hunting for sophisticated threat actors in an enterprise environment
• Ability to proactively challenge the status quo by leveraging data and taking a user-centric approach to address complex product integrity challenges

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Research Group (ARG) handles proactive threat hunting and adversary behavior analysis across Stripe products. Rather than reacting to alerts, the team maps end-to-end fraud and abuse paths, validates novel attack vectors, and identifies product conditions that enable fraud. Using agentic automated testing and simulation tools, ARG translates research into actionable threat advisories, strategic control recommendations, and regression scenarios to systematically eliminate vulnerabilities.

What you’ll do

As an Abuse Research Engineer in the Abuse Research Group, you will play a critical role in safeguarding Stripe’s financial ecosystem by proactively hunting for advanced threats, dissecting complex fraud vectors, and extracting actionable adversary intelligence.  Rather than relying solely on reactive alerts, you will develop and execute hypothesis-driven threat hunting operations across internal telemetry and external sources to uncover fraudulent tools, tactics, and techniques (TTPs) before they impact Stripe’s platform. Central to this work is FT3 (Fraud Taxonomy 3.0), Stripe’s multi-layered taxonomy that decomposes monolithic fraud into structured kill chains.  Collaborating cross-functionally with Fraud Ops, Strategy, Risk, Onboarding, and Security, you will integrate threat intelligence, build agentic simulation workflows, and systematically eliminate product vulnerabilities.

Responsibilities

• Proactive Threat Hunting & Kill Chain Analysis: Formulate hypotheses and conduct iterative threat hunting operations across Stripe systems and external data.
• FT3 Taxonomy: Apply and enrich the FT3 framework across empirical datasets and incidents, standardizing threat intelligence across kill chain phases and targeted API endpoints.  
• Threat Intelligence & Signal Expansion: Partner with teams like Fraud Intelligence to integrate, curate, and automate threat feeds into engineering workflows.  
• Cross-Functional Advisories & Strategic Controls: Translate raw research and retrospective findings into actionable threat advisories and control recommendations (policy, technical systems, support workflows, and detection mechanisms) for stakeholders across Fraud, Risk, Onboarding, and Security.  
• Agentic Testing & Adversary Simulation: Utilize agentic automated testing frameworks to simulate adversary TTPs, validate whether deployed controls interrupt empirical kill chains, and generate regression scenarios to exercise controls.  

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience conducting threat intelligence, threat hunting, or technical incident response within cyber security, product abuse, or trust domains.  
• 5+ years of experience analyzing large, complex datasets using data analytics tools to identify anomalies, map behavioral trends, and solve complex fraud problems.  
• B.S. or M.S. in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.  
• Expert proficiency in Python and SQL, with demonstrated experience using code and scripting to automate workflows, build investigative tools, or query big data pipelines.  
• Hands-on experience in log analysis (e.g., application logs, API route telemetry, network security events), digital forensics, and cyber investigation methodologies.  
• Strong communication skills with a proven ability to translate complex technical research into clear, actionable recommendations and advisories for cross-functional partners.

Preferred qualifications

• Deep technical understanding of threat actor motivations, infrastructure, and TTPs specific to financial fraud (e.g., ATO, Card Testing, Credential Stuffing). 
• Familiarity with standardized taxonomies such as FT3 or MITRE ATT&CK.  
• Proficiency with engineering, data processing, and analysis platforms such as Databricks, Trino, PySpark, Pandas, or Scikit-Learn.  
• Proven background utilizing Threat Intelligence Platforms (TIPs), tactical threat feeds, OSINT, and breach intelligence. 
• Demonstrated capability building or leveraging agentic LLM tools, automated testing systems, or control validation frameworks to model adversary behavior at scale.  
• Participation in industry conferences, webinars, or threat-sharing groups, alongside relevant professional certifications (e.g., GCTI, GCFA, OSCP).