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Sr. Reliability Engineer, Digital Marketing

Job in Manhattan Beach, Los Angeles County, California, 90266, USA
Listing for: Skechers
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    IT Support
Salary/Wage Range or Industry Benchmark: 160000 - 190000 USD Yearly USD 160000.00 190000.00 YEAR
Job Description & How to Apply Below
The pay range for this role is $160,000 - $190,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

The Sr. Reliability Engineer, Digital Marketing is responsible for ensuring the reliability, observability, and continuous improvement of Skechers' global marketing technology ecosystem. This role owns end-to-end reliability across customer data, audiences, campaigns, journeys, loyalty events, and digital experience signals — building a more intelligent, resilient, and increasingly self-healing marketing stack.

Working closely with analytics, data engineering, and service provider teams, this engineer prevents issues before they impact customers, reduces operational toil through automation, and continuously monitors and validates the accuracy, completeness, and timeliness of customer data across marketing and loyalty platforms.

WHAT YOU’LL DO:

Platform Reliability Own service reliability across the full marketing platforms flow, including data ingestion, identity resolution, audience creation, segmentation, activation, campaign and journey execution, triggered and scheduled communications, loyalty program events, and downstream measurement.

Ensure Salesforce Data Cloud audiences are accurate, timely, and operationally dependable, with strong controls around data freshness, segmentation quality, publish success, and downstream activation.

Ensure Salesforce Marketing Cloud campaigns, journeys, automations, and email operations execute as designed, with clear operational thresholds, monitoring, and recovery playbooks.

Ensure Salesforce Loyalty Management processes including member activity, accrual, redemption, promotions, and related integration points are reliable, traceable, and aligned with customer experience expectations.

Observability & Monitoring Build and maintain observability across platform health, business process health, and customer-impact signals, including dashboards, alerts, trend reporting, and escalation paths.

Leverage Google Analytics and Quantum Metric to connect technical incidents to customer and business impact, including conversion degradation, journey drop-off, landing page friction, loyalty enrollment issues, and campaign experience problems.

Define and manage SLIs, SLOs, and operational thresholds for business-critical marketing services, with proactive detection of platform and data issues before they impact customers or campaigns.

Incident Management & Operational Readiness Own end-to-end operational response for priority incidents, including detection, triage, severity assessment, stakeholder communication, vendor engagement, mitigation, recovery, and post-incident review — translating technical issues into clear business impact across audience activation, journeys, loyalty activity, deliverability, and digital experience.

Lead incident coordination including bridge calls, cross-functional alignment, vendor escalation, recovery communication, and closure messaging, with defined update cadences for marketing operations, CRM, loyalty, analytics, leadership, and Salesforce support.

Own release readiness and go/no-go support for all product changes, including risk assessment, dependency checks, and rollback readiness.

Maintain steady-state operational risk reporting covering platform health trends, recurring failure patterns, deliverability risks, and proactive recommendations.

Automation & Reliability Engineering Design and implement automation that reduces manual work, speeds recovery, and enables safer scale, including AI-assisted alert enrichment, knowledge retrieval, incident summarization, runbook execution, and low-risk self-healing patterns under human oversight.

Define and maintain operational standards including runbooks, change controls, release readiness checks, and…
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