Job description

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo is looking for a Senior Security Engineer to add to our growing Detection & Response Team. This is an engineering role that spans the full detection and response lifecycle - leveraging software development practices to build detections, triaging alerts, lead investigations, respond to incidents, perform threat hunting, and build the tooling that keeps us from doing the same work twice. As a member of the team, you will have the opportunity to work on complex large-scale security challenges across Klaviyo’s enterprise, cloud, and product environments, and shape how an engineering-first D&R function uses automation and AI in production, at scale, alongside talented and ambitious colleagues spanning multiple regions and timezones. How you will make a difference: Leverage engineering practices to develop, test, and deploy high-fidelity rule-based and anomaly-based detections-as-code Detect and respond to cyber threats using security data lake, SIEM, and cloud platforms Respond to alerts, cyber threats, and drive end-to-end incident response investigations Perform digital forensic investigations to include collection and analysis of evidence Automate and codify detection and response workflows and processes Build security tooling to drive automation across D&R lifecycle Improve and maintain detection and response pipelines and underlying systems Work with our Threat Intelligence team to identify and respond to sophisticated threats Develop AI-first security systems to automate detection and response operations Conduct threat hunts across corporate, cloud and product environments Support data engineering workflows for core security data lake and SIEM platforms Be an active member of D&R on-call rotations Coach and mentor security engineers within the detection & response team We’d love to hear from you if you have: 5+ years of hands-on security experience in modern cloud environments Experience in triaging and responding to cyber threats Experience in large-scale log analysis, incident response and/or digital forensics Experience with centralized security data lakes and SIEM solutions Hands-on experience in writing detections-as-code Solid data querying skills (e.g. SQL, Splunk) Familiarity with large-scale data pipelines and data engineering techniques Proficient in programming languages to automate / build (e.g., Python, Go or similar) Proven experience with git/GitHub and CI/CD automations Familiarity with tactics, techniques, and procedures used by threat actors Experience being part of detection and response or incident response on-call Engineering-first and AI-first approach for all work performed Strong passion for continuous learning and staying updated on evolving technology Strong oral and written communication skills Team player with a strong, self-managing work ethic Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $141,600 — $212,400 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process . For more information about how we process your personal data, see our Job Applicant Privacy Notice . Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Requirements

Must-haves

Leverage engineering practices to develop, test, and deploy high-fidelity rule-based and anomaly-based detections-as-code
Detect and respond to cyber threats using security data lake, SIEM, and cloud platforms
Respond to alerts, cyber threats, and drive end-to-end incident response investigations
Perform digital forensic investigations to include collection and analysis of evidence
Automate and codify detection and response workflows and processes
Build security tooling to drive automation across D&R lifecycle
Improve and maintain detection and response pipelines and underlying systems
Work with our Threat Intelligence team to identify and respond to sophisticated threats
Develop AI-first security systems to automate detection and response operations
Conduct threat hunts across corporate, cloud and product environments
Support data engineering workflows for core security data lake and SIEM platforms
Be an active member of D&R on-call rotations
Coach and mentor security engineers within the detection & response team
We’d love to hear from you if you have:
5+ years of hands-on security experience in modern cloud environments
Experience in triaging and responding to cyber threats
Experience in large-scale log analysis, incident response and/or digital forensics
Experience with centralized security data lakes and SIEM solutions
Hands-on experience in writing detections-as-code
Solid data querying skills (e.g. SQL, Splunk)
Familiarity with large-scale data pipelines and data engineering techniques
Proficient in programming languages to automate / build (e.g., Python, Go or similar)
Proven experience with git/GitHub and CI/CD automations
Familiarity with tactics, techniques, and procedures used by threat actors

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythongoci/cd

Platform: greenhouse
Effort: quick