What you'll do
The Digital Marketing Manager will own Salesforce Marketing Cloud Account Engagement Advanced, including Einstein activation, segmentation governance, and nurture architecture. Working cross-functionally with Marketing, Sales, IT, Data, and Global teams, this individual will create durable systems that standardize launch execution, improve targeting precision, and accelerate time to revenue.
Location
: Kennesaw, GAThis is a hybrid position requiring three days per week in-office.
Key Responsibilities:
Attribution and Measurement Infrastructure
Establish closed-loop reporting between Salesforce CRM and Account Engagement Advanced. Define and formalize ICP segmentation in partnership with Sales, including baseline ICP coverage metrics. Build and maintain reporting dashboards for marketing-sourced pipeline, MQL to SQL conversion, opportunity influence, and time-to-adoption for new product launches. Create standardized launch measurement frameworks including clearance-to-first-order and adoption tracking.
Salesforce Marketing Cloud and Automation Architecture
Own Journey Builder, Email Studio, and Einstein AI configuration and governance. Deploy Einstein lead and behavioral scoring with documented scoring criteria aligned to Sales qualification standards. Design automated segmentation, nurture journeys, and adoption acceleration programs tied to product priorities. Ensure CRM data hygiene, field governance, suppression logic, and lifecycle stage accuracy.
Website, Tracking, and Conversion Governance
Own website governance including CMS standards, hosting coordination, security compliance, and structured release management in partnership with IT and Global teams. Ensure full integration between website, CRM, analytics, and marketing automation platforms for account-level tracking and attribution. Lead technical SEO, schema implementation, AI discoverability optimization, and structured content architecture to improve authority and visibility. Optimize conversion pathways and lead capture flows aligned to ICP targeting.
Trade Show And Commercial Enablement Integration
Design structured pre-, during-, and post-event automation campaigns aligned to priority congresses. Ensure ICP-aligned lead capture and qualification workflows are in place for all major events. Support Showpad enterprise deployment by aligning digital journeys and content delivery with sales enablement governance standards.
Lifecycle Insight and Survey Automation
Deploy automated lifecycle survey infrastructure in partnership with Sales Operations. Build reporting frameworks that deliver quarterly customer experience insight summaries to senior leadership. Ensure lifecycle engagement data feeds back into segmentation and nurture strategy.
AI-Enabled Marketing Workflows
Implement AI-assisted campaign build frameworks to reduce cycle time and increase execution velocity. Develop structured AI-generated commercial intelligence briefs summarizing competitive, pipeline, and engagement insights. Embed AI productivity workflows across marketing operations to improve revenue per FTE.
Qualifications:
- Bachelor’s degree in Marketing, Business, Communications, or related field.
- Minimum five years of digital marketing experience with demonstrated ownership of automation architecture and attribution systems.
- Hands-on experience with Salesforce Marketing Cloud Account Engagement Advanced, including Einstein configuration.
- Experience building closed-loop CRM attribution and defining MQL and SQL governance frameworks.
- Strong understanding of technical SEO, structured data, website integration, and analytics architecture.
- Demonstrated ability to translate data insights into measurable revenue outcomes.
- Excellent communication, analytical, and cross-functional leadership skills.
- Experience in regulated or healthcare-related environments.
- Experience supporting enterprise sales organizations with structured lifecycle automation.
- Familiarity with Power BI, GA4, and advanced reporting environments.
- Closed-loop attribution live and validated.
- Einstein scoring deployed and adopted.
- Baseline MQL to SQL conversion and marketing-sourced pipeline established.
- Time-to-adoption metrics defined for priority product launches.
- ICP coverage baseline established and improved.
- Lifecycle survey framework deployed and producing quarterly insights.
- Website conversion performance and AI search inclusion improved year over year.
Interested in this role?
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