Manager, MarTech & AI
Listed on 2026-10-03
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IT/Tech
Data Analyst, Digital Marketing
Marketing Technology Administrator
We're hiring a hands-on Mar Tech administrator who thrives on operational excellence and smart automation. You will own the day-to-day administration, enablement, and maintenance of our marketing technology stack, centered on Marketo, and help operationalize campaign intake, build, QA, lead management, and measurement. Bringing an AI-first mindset, you'll apply tools like Zapier, Azure services, and LLMs to reduce manual work, harden processes, and scale execution in partnership with Marketing, Inside Sales, and Revenue Ops teams.
This role is core to our priorities around AI-driven campaign orchestration and Mar Tech and data operations.
- Administer and optimize key Mar Tech platforms:
Marketo, webinar (e.g., ON24), ABM tools (e.g., 6sense), and website chat tools, including management, governance, and enablement. - Manage integrations (e.g., Marketo-SFDC, form capture, event/webinar, chat, enrichment) with close attention to data quality, sync health, and error handling.
- Implement and optimize lead lifecycle processes from acquisition to sales handoff (statuses, routing, dedupe, compliance), partnering with Sales/Rev Ops.
- Maintain and iterate on lead and account scoring (behavioral/firmographic/signals) with clear documentation, analysis, and testing of scoring changes.
- Support campaign intake and execution: support and maintain Asana workflows, SLAs, and checklists for email, landing pages, webinars, lists, UTMs, and SFDC campaign setup.
- Campaign infrastructure management:
Own and maintain reusable campaign assets and operational programs (e.g., email and landing page templates, nurture streams, webinar blueprints, list processing and UTM tracking). - Contact database stewardship:
Execute routine data hygiene, enrichment, and deduplication tasks; maintain suppression, preferences, and compliance fields to protect deliverability and segmentation quality. - Reporting and analysis:
Develop and maintain Marketo/Salesforce reports and dashboards focused on database quality, segmentation readiness, and campaign performance. - Document and standardize operational procedures (SOPs) for campaign build, QA, launches, data hygiene, Mar Tech documentation, and reporting.
- Instrument KPIs (e.g., time-to-launch, error rates, contact database, lead flows) and drive continuous improvement.
- Automate repetitive workflows using Zapier/Make, Azure, and LLMs where applicable.
- Leverage AI tools and workflows for QA checklists and campaign operations processes with strong guardrails around data privacy and accuracy.
- Pilot, measure, and maintain automations and workflows to scale across the team.
- Identify opportunities to apply AI tools and emerging technologies to solve operational bottlenecks, with the instinct to experiment and iterate.
Must-Have
- 3-6 years in Marketing Operations/Marketing Automation with deep hands-on Marketo administration (program/channel setup, smart campaigns, tokens, schemas, forms, landing pages, email templating, assets, MSI), plus Salesforce experience.
- Proven Mar Tech administration across webinar and chat tools, including integration setup and troubleshooting.
- Experience building and maintaining campaign processes (intake to build to QA to launch to measure) with task/work management tools (e.g., Asana).
- Lead lifecycle and scoring administration, with change documentation and testing discipline.
- Meticulous attention to data quality, governance, and documentation; comfort working across time zones.
- Demonstrated automation mindset using Zapier/Make and familiarity with Azure services or LLMs, OR evidence of a builder instinct - experimenting with AI tools like Claude Code, Cursor, ChatGPT, or Copilot; building personal workflows or automations; or teaching yourself something technical to solve a real problem. High curiosity, comfort with ambiguity, and a bias for action.
Nice-to-Have
- Marketo Certified Expert (MCE), SFDC Admin/Consultant exposure.
- Experience with 6sense (segments/signals/routing), or data enrichment tools.
- Familiarity with email deliverability practices and preference centers.
- Experience with Python scripting or API integrations.
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