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Compliance Operations Analyst

Klaviyo
Boston, QAT
Full Time
Mid
4 weeks ago
Anti Abuse DetectionData AnalysisSQLSplunkZendeskIncident Response
Free

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Anti Abuse DetectionData AnalysisSQL
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Role Overview

  • Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem.
  • The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

How You'll Make a Difference

  • Monitor anti abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
  • Investigate and address compliance and deliverability impacting abuse events, engaging and escalating for timely response and mitigation.
  • Perform customer impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow through.
  • Generate and review reporting related to threat alerts and user log behavior.
  • Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
  • Partner with Engineering and Security to test and implement signal tuning; develop in depth knowledge of Klaviyo’s sending infrastructure and compliance policies.
  • Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement.
  • Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
  • Contribute to cross functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
  • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
  • Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
  • Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day to day issues using established channels; document outcomes and surface recurring patterns to senior owners.

Who You Are

  • Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non technical audiences.
  • Self motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
  • Calm under pressure—with a track record of navigating fast paced, ambiguous environments with changing priorities.
  • Structured problem solver—known for technical investigation skills and a logical approach to triage and resolution.
  • Process oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
  • Collaborative by nature—thriving on cross functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
  • Growth oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

  • 3+ years in a technical SaaS company, anti abuse, trust & safety, or compliance operations role—preferably at an ESP or high volume marketing communications provider.
  • Data analysis proficiency—comfortable working with infrastructure level and behavioral data; SQL or equivalent query experience is strongly preferred.
  • AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools to accelerate investigation, summarize incidents, or draft communications.
  • Anti abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
  • Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
  • Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM style tools (e.g., Splunk, Datadog, or equivalent).
  • Familiarity with APIs, email and text message marketing platforms, and e commerce ecosystems.
  • Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
  • You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast.

Base Pay Range For US Locations

  • $96,000—$144,000 USD

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