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Agentic AI Orchestration Analyst

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Directv
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 63000 - 114000 USD Yearly USD 63000.00 114000.00 YEAR
Job Description & How to Apply Below
## Agentic AI Orchestration Analyst Apply:
El Segundo, CA:
United States - Virtual:
Full time:
Posted Yesterday:
End Date:
October 21, 2026 (6 days left to apply):
R260319

The Mar Tech Platform & Integrations team is hiring an Agentic Orchestration Analyst to help operate and execute automated marketing workflows built on Optimizely Opal (now branded "Mark"). This is a hands-on, entry-level role for someone early in their career who wants to build practical experience with AI agent orchestration inside a marketing technology stack. You'll spend your time running, monitoring, and troubleshooting orchestration agents that connect and automate tasks across our Mar Tech tools — not building the platform itself, but making sure the agents we've configured run correctly, flag issues, and deliver value day to day.

** Here’s what you’ll do:*
* * Execute and monitor pre-built orchestration agents within Optimizely Opal (Mark) according to documented workflows and playbooks.
* Track agent runs for successful completion; flag, log, and escalate errors, failures, or unexpected outputs to senior team members.
* Perform first-line troubleshooting on failed or stalled agent executions, following established runbooks.
* Maintain accurate records of agent activity, execution logs, and outcomes for reporting and audit purposes.
* Support data hygiene and input-quality checks that feed orchestration workflows (e.g., verifying source data, tagging, and triggers).
* Assist in testing new or updated orchestration agents prior to production rollout, documenting results.
* Collaborate with the Mar Tech Platform & Integration Manager and cross-functional stakeholders (marketing ops, campaign teams) to understand workflow requirements and communicate agent status.
* Escalate platform bugs, integration failures, or data discrepancies to the appropriate internal or vendor (Optimizely) support channel.
* Contribute to internal documentation of agent configurations, standard operating procedures, and lessons learned.
* Participate in ongoing training to build proficiency in Optimizely Opal / Mark and broader marketing automation concepts.
** What you’ll need to be successful:*
* * Bachelor's degree required (Marketing, Business, Information Systems, Computer Science, Data Analytics, or related field).
* 0 – 1 years of professional experience; internships, co-ops, or coursework involving marketing technology, automation, or data tools are a plus.
* Strong attention to detail and comfort following structured processes and documentation.
* Basic understanding of, or strong interest in, marketing automation, workflow tools, or AI / agent-based systems.
* Comfortable working with spreadsheets and structured data (e.g., Excel / Google Sheets) to track and validate outputs.
* Clear written communication skills for logging issues and documenting processes.
* Ability to work independently in a fully remote environment and manage time across recurring operational tasks.
*
* Preferred Qualifications:

*
* * Exposure to Optimizely, Opal / Mark, or other marketing automation/orchestration platforms (e.g., Hub Spot, Marketo, Salesforce Marketing Cloud).
* Basic familiarity with APIs, webhooks, or no-code / low-code automation tools (e.g., Zapier, Make).
* Coursework or personal projects involving AI agents, chatbots, or workflow automation.
* Familiarity with ticketing / documentation tools (e.g., Jira, Confluence, Notion).
** What Success Looks Like in the First 90 Days:*
* * Independently executes and monitors assigned orchestration agents with minimal supervision.
* Accurately identifies and escalates agent failures following the correct runbook and channel.
* Builds working knowledge of the team's Mar Tech stack and how orchestration agents fit into…
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