> Markdown version of [/jobs/ext/4416104-implementation-engineer-crm-cdp-automation](https://www.wearedevelopers.com/jobs/ext/4416104-implementation-engineer-crm-cdp-automation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Implementation Engineer, CRM & CDP Automation - **Company:** Court Avenue - **Location:** Los Angeles, CA, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), User Authentication, BigQuery, Cloud Computing, Customer Data Management, Data Integration, JSON, Python (Programming Language), Standard Sql, SQL Databases, Systems Integration, Tag Management, Scripting, Postman, Snowflake, SOAPAPI, Data Layers, Restful APIs, Marketing Cloud, User Identification - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=514895708d5f66bb ## About the Role * 4+ years of hands-on experience in marketing technology implementation, including substantial production experience with Salesforce Marketing Cloud. * Demonstrated experience personally building and troubleshooting Marketing Cloud journeys, automations and audiences using Journey Builder, Automation Studio, Contact Builder and data extensions. * Strong SQL and AMPscript skills for segmentation, validation and personalization, plus working JavaScript skills for platform scripting, transformations or integrations. * Experience configuring at least one enterprise CDP, including customer profiles, identity resolution, segmentation and activation. * Experience connecting customer data sources or CDP audiences to Salesforce Marketing Cloud. * Experience with REST APIs, authentication, JSON payloads and scheduled data integrations, using tools such as Postman. * Understanding of analytics events, data layers and tagging, including their impact on downstream profiles and activation. * Practical experience implementing consent, communication preferences and suppression rules. * Experience working directly with client technical and business stakeholders, with clear documentation and troubleshooting skills., * Hands-on Salesforce Data 360/Data Cloud experience. * Salesforce Marketing Cloud Developer, Marketing Cloud Consultant or Data Cloud certifications. * Experience with SSJS, custom journey activities and API-triggered communications. * Experience with email deliverability, IP warming and sender reputation troubleshooting. * Deeper analytics implementation, tag management or server-side collection experience. * Experience with Snowflake, BigQuery or Python. * Automotive, OEM or dealer-network CRM experience. * Background in MarTech consulting or agency delivery. ## Description * Build and maintain Salesforce Marketing Cloud journeys and automations using Journey Builder, Automation Studio, Contact Builder and data extensions. * Write SQL, AMPscript and platform scripts for audience preparation, personalization, suppression and recurring campaign processes. * Implement journey entry, exit, re-entry, eligibility, prioritization and frequency rules. * Configure CDP ingestion, attributes, identity rules, segments and activation into Marketing Cloud and other destinations. * Build and troubleshoot integrations using REST and SOAP APIs, Marketing Cloud Connect, connectors and scheduled file transfers. * Validate subscriber and contact identifiers, field mappings, audience counts, consent and suppression across connected platforms. * Support reliable email and SMS execution and integrations with direct mail providers. * Investigate failed automations, incomplete imports, incorrect personalization, audience discrepancies and journey execution issues. * Partner with analytics and tagging engineers to validate how behavioral events update customer profiles, qualify audiences and trigger communications. * Work directly with client marketing, CRM and data teams to clarify requirements, explain issues and guide implementation. * Document configurations, dependencies, QA results, deployment procedures and operational runbooks.