Incident Response Manager - Security

Who we are

About the team

The Security Incident Response team is responsible for triaging and assessing the severity of incoming security alerts, responding with initial containment measures and escalating as needed to incident responders for further investigation and resolution. They analyze a variety of data sources to identify potential threats, collect requirements for operational enhancements to detection and response systems, and generally scale security processes. From external attacks to insider threats, our goal is to respond with speed and precision, remediate, and support the incident postmortem process.

The team is distributed globally and regularly coordinates with stakeholders in North America, Europe, and Asia.

What you’ll do

You will leverage your security incident response experience to improve capabilities at Stripe. You will manage and coordinate the entire incident response process, developing and implementing incident response plans, conducting risk assessments, establishing procedures, leading workstreams, and ensuring timely and effective resolution. You will also act as incident commander, collaborating with various internal stakeholders, performing post-incident analysis and reporting, and making continuous improvements to Stripe’s security engineering and incident response function.

Responsibilities

• Lead and coordinate security incident response activities and workstreams as the incident response manager (IRM)
• Analyze and investigate a broad range of threats or activities occurring on client devices, maintaining a high level of confidentiality and documenting incident details accordingly
• Make decisions and recommendations based on the results of incident analysis and communicate the appropriate context to stakeholders, including insights to help identify, prevent, detect, and respond to anomalous or potentially malicious activity
• Develop, document, and implement strategies, runbooks, capabilities, and techniques for incident response
• Work cross-functionally with security engineering and data science teams to build solutions for analyzing security events data at scale and protecting Stripe networks, systems, and data from threats
• Strengthen KPIs and metrics for measuring response effectiveness and provide clear and consistent reporting to internal stakeholders
• Continuously improve security processes and response capabilities by building relationships with key stakeholders and collaborating with engineers and analysts
• Mentor and develop other teammates, championing quality standards within the team

Minimum requirements

• 5+ years experience in leading Security Incident Response
• B.S. or M.S. Computer Science or related field, or equivalent experience
• Working 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
• Hands-on experience in analyzing and responding to security events, such as conducting log analysis, developing queries and analytics, troubleshooting security issues, and correlating complex data sets.
• Proficiency with developing and using novel analytical methods to automate response processes
• Excellent written and verbal communication skills, proactive in informing stakeholders, and ability to operate with little oversight.
• Ability to identify trends, insights, and relationships between internal and external data and intelligence sources to make risk mitigation recommendations.

Preferred qualifications

• Broad knowledge and experience across the information security domain, including familiarity with endpoint, email, network, identity management, cloud security, vulnerability management, incident response, and threat intelligence.
• Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.)
• Familiarity with network observability, security software, or data engineering solutions (Chronicle, osquery, LogScale, Splunk, etc.)