About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT (Marketing Technology).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

This is an entry-level, hands-on role on the MarTech Platform & Integrations team for a Confidential Client. As an Agentic AI Orchestration Analyst you will operate, monitor, and troubleshoot pre-built agentic AI orchestration workflows (Optimizely Opal / “Mark”) that automate marketing tasks across the MarTech stack. This role focuses on reliable execution and operational support — not platform development — and is ideal for someone early in their career who wants practical exposure to AI agent orchestration and marketing automation.

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Key Responsibilities

• Execute and monitor pre-built orchestration agents within Optimizely Opal (Mark) following documented workflows and runbooks.
• Track agent runs for successful completion; log and escalate errors, failures, or unexpected outputs to senior team members.
• Perform first-line troubleshooting on failed or stalled agent executions using established runbooks and checklists.
• 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, triggers).
• Assist in testing new or updated orchestration agents prior to production rollout and document results.
• Collaborate with the MarTech 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.

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Required Qualifications

• Bachelor’s degree (Marketing, Business, Information Systems, Computer Science, Data Analytics, or related field).
• 0–1 years 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 (Excel / Google Sheets) to track and validate outputs.
• Clear written communication skills for logging issues and documenting processes.
• Ability to work independently in a remote environment and manage time across recurring operational tasks.

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Preferred Qualifications

• Exposure to Optimizely Opal / Mark, or other marketing automation platforms (HubSpot, Marketo, Salesforce Marketing Cloud).
• Basic familiarity with APIs, webhooks, or no-code / low-code automation tools (Zapier, Make).
• Coursework or personal projects involving AI agents, chatbots, or workflow automation.
• Familiarity with ticketing/documentation tools (Jira, Confluence, Notion).

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What Success Looks Like in the First 90 Days

• Independently execute and monitor assigned orchestration agents with minimal supervision.
• Accurately identify and escalate agent failures following the correct runbook and channel.
• Build working knowledge of the team’s MarTech stack and how orchestration agents support campaign workflows.
• Establish consistent documentation habits for agent runs, issues, and resolutions.

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Why Join This Team

• Hands-on exposure to agentic AI orchestration within a live marketing technology environment — a high-demand skill set.
• Mentorship from the MarTech Platform & Integration Manager and a clear path toward platform, integration, or automation-engineering roles.
• Opportunity to work across marketing operations and campaign teams and see direct impact from operational improvements.

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Compensation & Location

• Employment type: Full-time.
• Base salary range (reported by the client): $62,643 - $113,747 per year (range varies by labor market zone, location, and candidate experience).
• This is a remote-eligible role. Candidates must be located in the United States (role excludes Alaska). Primary authoritative location for this listing: Lockwood, MT.

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Additional Information

• The role may require a background check due to routine access to confidential client data. Qualified applicants with arrest and conviction records will be considered in accordance with applicable laws and local ordinances.
• Confidential Client and Careertakes are committed to non-discrimination. Reasonable accommodations are available for applicants with disabilities; please request any needed accommodation during the hiring process.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.