Senior Manager, AI Marketing Initiatives
Seattle OfficeFull-TimeManagerAI / Data Science
Key Responsibilities:
- AI Ownership & Product Leadership
- Act as the product owner for a portfolio of Marketing AI initiatives across demand, growth, content, and marketing operations.
- Translate business challenges into prioritized AI use cases with clear ROI hypotheses.
- Rapidly prototype, test, and deploy AI workflows, moving from POCs to production with global adoption.
- Own prioritization across initiatives based on impact, scalability, and time to value.
- Demand, Growth & Lifecycle
- Apply AI to lead scoring, routing, personalization, and conversion optimization within HubSpot, our core system of record.
- Improve CPipe and QPipe efficiency through AI-driven targeting, forecasting, and lifecycle orchestration.
- Partner with Growth, Demand Generation, and Sales Development to scale high-intent pipeline motions.
- Content, Website & AI Search
- Build and deploy AI-assisted content and localization workflows across web and campaigns.
- Improve SEO and AI-search discovery through automated content generation, optimization, and testing.
- Increase speed and global consistency while maintaining brand quality.
- Marketing Operations & Productivity
- Embed AI into campaign operations, QA, reporting, and workflow automation across the MarTech stack.
- Eliminate manual processes and reduce cycle times across core marketing workflows.
- Drive measurable productivity gains per marketer and per dollar spent.
- Tooling, Data & Integration
- Design and implement AI workflows integrated with existing platforms, including:
- HubSpot CRM, Marketing Hub, Content Hub, lifecycle, and automation
- Salesforce for pipeline and revenue visibility
- GA4 and internal dashboards for performance insights
- AI Enrichment and Workflow Tools such as Clay for lead enrichment and AI-powered positioning/creative scale, and n8n (or similar: Zapier, Make, Workato) for AI workflow automation, particularly for content generation.
- Trustpilot, G2, Capterra for review generation, advocacy, and sentiment analysis
- Paid platforms including Google, Meta, LinkedIn, Bing, and Reddit
- Work fluently with APIs, data flows, and automation layers to connect systems.
- Partner with Product, Data, IT, and Legal to ensure security, compliance, and scalability.
- Measurement & Enablement
- Define KPIs tied to time saved, conversion lift, pipeline efficiency, and asset performance.
- Measure and report AI impact in business terms to executive leadership.
- Build playbooks, standards, and training to operationalize Human plus AI workflows across Marketing.
Qualifications:
- Experience
- 8–12+ years of experience in B2B SaaS marketing, marketing operations, growth, or product operations.
- Proven experience leading complex, cross-functional initiatives from ideation through scaled execution.
- Strong understanding of the full marketing funnel and revenue motion.
- Technical Aptitude
- Foundational and practical understanding of AI concepts and how they apply to real business problems.'
- Hands-on experience building POCs using modern AI tools and workflows.
- Comfortable with vibe coding, prompt engineering, rapid experimentation, and iteration.
- Working understanding of APIs, automation frameworks, and data integrations.
- Ability to bridge business requirements and technical execution without heavy translation layers.
- Ways of Working
- Builder mindset with a strong bias to action.
- Analytical and ROI-driven decision maker.
- Comfortable influencing and leading across a global, cross-functional organization.
- Success Looks Like
- AI embedded as standard operating practice across Marketing.
- Improved cost per pipeline and conversion efficiency vs baseline.
- 20–30% productivity lift across priority marketing functions.
- Faster campaign, content, and localization velocity globally.
- Clear, board-ready reporting on AI-driven outcomes.
