2 hours ago
Base Salary
$142k - $212k/yr
Responsibilities
- Build systems that support security observability for detection and response.
- Develop AI-first systems to automate detection and response operations.
- Onboard, normalize, and optimize security logging data for large-scale analysis, detection engineering, ML model deployment, and incident querying.
- Develop high-fidelity rule-based and ML-based detections as code.
- Respond to security alerts, cyber threats, and security incidents.
- Drive end-to-end incident response investigations.
- Automate and codify detection and response workflows and processes.
- Conduct ad hoc threat hunts and participate in D&R on-call rotations.
Requirements
- 5+ years of experience in software, security, and/or data engineering.
- An automation-first and AI-first approach to work.
- Experience with centralized logging, data lakes, and SIEM solutions.
- Familiarity with large-scale data pipelines and data engineering techniques.
- Proficiency in programming languages such as Python or Go.
- Proven experience with Git, GitHub, and CI/CD automation.
- Familiarity with threat actor tactics, techniques, and procedures.
- Experience participating in detection and response or incident response on-call rotations.
- Strong continuous-learning, communication, teamwork, and self-management skills.
Benefits
- Base salary and potential annual cash bonus, equity, sign-on payments, and health, welfare, and wellbeing benefits based on eligibility.
- The role may require up to 10% travel, coordinated in advance, for onboarding, partner or client work, team meetings, and industry events.
About Klaviyo
Klaviyo (NYSE: KVYO) is the autonomous B2C CRM. Powered by its built-in data platform and AI, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 193,000 brands like Mattel, Glossier, Daily Harvest, and Liquid Death deliver 1:1 experiences at scale, improve efficiency, and drive revenue.