Security Incident Response Manager, Abuse Operations
At a glance
Manager-level Security Operations & Analysis role at Stripe. Remote, United States · no salary stated · we estimate $97,875–$157,850 across the United States.
Stripe has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Lead fraud and abuse incidents from investigation through mitigation, coordinating workstreams and recommending actions under pressure
- Examine risky accounts for card testing, account takeovers and other fraud, using FT3 signals to classify threats
- Write and run response plans and playbooks, then improve detection and prevention capabilities
- Work with security, data science, legal and policy teams on automated response solutions, KPIs and incident reports
- Run practice exercises, mentor teammates and lead projects that improve incident response quality
What you bring
- At least ten years leading security or fraud incident response, plus a computer science degree or equivalent experience
- Expert Python and SQL skills, with working familiarity in other programming languages
- Experience analyzing logs, network security, digital forensics and incident investigations
- You have built automated response workflows, used threat intelligence and recommended risk mitigations
- Strong written and verbal communication, with a record of aligning teams independently
Who this fits
This manager role suits someone with deep fraud or security response experience who can investigate accounts, guide incident work and improve response systems. The team coordinates across Eastern, Pacific and Western European time zones.
From the employer
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 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
In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed and precision while continuously elevating Stripe's fraud and abuse incident response function.
Responsibilities
- Lead fraud and abuse incident response end-to-end as Incident Response Manager (IRM), coordinating workstreams, investigating high risk activity and accounts, and making actionable mitigation recommendations under pressure.
- Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped (Fraud Taxonomy 3.0) 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 to standardize threat intelligence.
- Develop, document, and execute incident response strategies, runbooks, and capabilities to continuously improve fraud and abuse detection and prevention.
- Partner cross-functionally with security, data science, legal, and policy teams to build agentic response solutions, refine KPIs, and deliver clear incident reporting.
- Mentor teammates, lead key incident response engineering projects, and elevate quality standards across 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 leading security or fraud incident response;
- B.S./M.S. in Computer Science 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
- Proven ability to build automated response workflows, leverage threat intelligence, and make risk mitigation recommendations.
- Strong written and verbal communication skills with a track record of driving cross-functional alignment with minimal oversight.
Preferred qualifications
- Broad expertise across fraud and abuse mitigation, risk management, product trust, and threat intelligence in a complex platform environment.
- 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.