Lead Security Governance & Risk Engineer

About the role: The Lead Security Governance & Risk Engineer is a senior, hands-on role at the point where security governance meets risk engineering. You will own the parts of the risk programme that turn policy and standards into measured, monitored, and automated risk decisions. Reporting to the Senior Manager, Security Risk Engineering and operating as a second line of defense, you will run the technology and third-party risk register, lead AI risk governance and ISO 42001 readiness, and build the automation that gives Klaviyo a continuously updated, quantified view of its risk posture. You will work alongside the Trust and Compliance team who are the custodians of our security policies and standards, making sure each one connects to a specific risk it reduces and is enforced through operational controls rather than living as a document. You will partner closely with Engineering, Product, GTS, Legal, Internal Audit, the ARIA team, and Finance to make risk legible across the business, and you will challenge first-line teams credibly while keeping your independence. This is a role for an engineer who thinks like a risk professional: someone who automates repeatable assessment, instruments controls, quantifies risk in financial terms, and treats AI as foundational infrastructure rather than an afterthought. How you'll have an impact: Operate and maintain the risk register and taxonomy. Run the technology and third-party risk register on a consistent standard (threat actor, technique, scenario, safeguard, loss event, quantification) so that risks aggregate, prioritise, and report meaningfully across the business. Lead AI risk governance and ISO 42001 readiness. Maintain the AI risk assessment methodology and risk criteria, maintain the consolidated AI risk register against the K:AI inventory, and define AI risk treatment plans that map each risk to specific controls and treatment decisions. Drive ISO/IEC 42001 readiness (Clauses 6.1 and 8.2/8.3) toward the certification target, working with the Trust & Compliance and ARIA teams. Drive third-party risk automation and risk scoring. Contribute vendor and application risk signals into the composite risk score, partnering with the TPRM lead who owns vendor onboarding automation and the TPRM process. Perform the hands-on risk quantification. Apply cyber risk quantification (expected loss, probability, and cost of remediation versus acceptance) so leadership and the Technology Risk Committee can make rational investment and risk-acceptance decisions rather than relying on qualitative severity labels. Support the risk governance cadence. Contribute to weekly risk huddles, monthly risk reviews, and the quarterly Technology Risk Committee (CIO, CISO, CTO), preparing accurate, succinct, decision-ready risk materials and translating high-severity findings into clear business impact. Operate as a second line of defense. Provide independent oversight, credible challenge, and guidance to first-line teams, apply consistent risk taxonomies and reporting standards, and escalate risks that exceed established tolerance. Partner cross-functionally and close the loop. Work with Engineering, Product, GTS, Legal, Internal Audit, ARIA, and Finance on risk and audit findings affecting systems and processes, tracking findings and remediation through to closure with clear ownership.

Who you are: 7+ years of experience in information security, technology risk, cyber risk, or operational risk within a large, complex, or high-growth organization, including hands-on risk engineering or quantitative risk work. Strong command of cyber risk quantification, able to express risk in financial and business terms (FAIR, riskquant, or similar) rather than qualitative severity ratings alone. Hands-on engineering ability: SQL, Python, and integrating with APIs to extract, transform, and load data between systems and to automate risk reporting. Experience building and running a technology and/or third-party risk register and taxonomy, with the tooling and process automation behind it. Working knowledge of security and AI frameworks (NIST CSF and RMF, ISO 27000 series, ISO 42001, SOC 2, PCI DSS, CIS Controls) and how they translate into credible control requirements. Hands-on familiarity with modern risk and security tooling: third-party risk platforms, cyber risk quantification, vulnerability management, and endpoint and data-security telemetry, with a clear point of view on where AI augments versus replaces human judgement. Experience authoring and maintaining security policies and standards, with a governance mindset that ties policy to the risk it reduces and to operational controls. Able to operate independently as a second line of defense while engaging credibly with senior engineers, architects, and security teams. Proficiency discussing complex, nuanced topics with technical and non-technical audiences alike, and translating technical risk into clear business impact. Excellent ability to plan, prioritise, and execute work cross-functionally and on time.

Nice to have: Experience leading an evolution from a traditional GRC / compliance model toward an automated, engineering-led, or AI-enabled risk capability. AI governance, model risk, or responsible-AI programme experience, and ISO 42001 readiness or certification work. Experience building metrics and dashboards (KPIs, KRIs, KCIs) using business intelligence or dashboarding tools like Tableau and so on. Experience in a regulated or high-trust environment (SOC 2, ISO 27000 series, ISO 42001, HIPAA, GDPR).Threat modeling or secure design reviews, and experience designing or implementing technical security controls in AWS.Experience securing web applications, Kubernetes clusters, and/or containers. Relevant professional certifications such as CISSP, CISM, CRISC, ISO 27001 Lead Auditor / Lead Implementer, an ISO 42001 / AI governance certification, or Open FAIR.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:$156,000—$234,000 USDThis 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.

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