Senior Manager, AI Marketing Operations
New
J
JobgetherB2B Technology
Based in the United StatesFull-TimeManager
Salary$160,000–$195,000 USD, including base salary and bonus.
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Job Details
- Experience
- 8–12 years of progressive experience
- Required Skills
- Microsoft Power BISalesforceTableauHubSpotLooker
Requirements
- 8–12 years of progressive experience in marketing operations, digital marketing, or growth marketing.
- 2–3 years of experience leading AI- or analytics-driven marketing initiatives.
- Proven experience designing and optimizing demand unit-based marketing models and buying-group identification.
- Demonstrated ability to apply predictive scoring, account-intent modeling, and next-best-action engines.
- Hands-on experience with marketing automation and CRM platforms such as Salesforce, Pardot, or HubSpot.
- Advanced knowledge of demand unit frameworks, funnel progression modeling, and marketing performance measurement.
- Experience with AI-enhanced analytics and visualization platforms like Power BI, Clari, Tableau, or Looker.
- Familiarity with data integration and workflow automation tools such as Zapier, Tray.io, or Snowflake.
- Working knowledge of machine learning concepts (predictive analytics, NLP, clustering).
- Experience in enterprise B2B SaaS or complex enterprise go-to-market environments.
- Understanding of data privacy, governance, security, and ethical AI principles.
- Bachelor’s degree in Marketing, Business, Data Science, or a related field.
Responsibilities
- Serve as a strategic advisor to marketing leadership to drive AI- and analytics-enabled demand generation.
- Design and optimize demand unit-based marketing models, including intent-based segmentation and multi-touch attribution.
- Align predictive scoring and next-best-action engines with demand unit frameworks to improve revenue growth.
- Implement and manage MarTech solutions, including data enrichment, personalization, and marketing automation.
- Utilize AI-enhanced analytics and visualization to improve forecasting, campaign performance, and ROI measurement.
- Manage internal teams and external agencies to establish clear OKRs and deliver performance improvements.
- Translate complex analytical findings into clear commercial insights for senior stakeholders.
- Incorporate data privacy, governance, and ethical AI principles into marketing operations.
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