Senior Manager, AI Marketing Initiatives - Bellevue

Role Mandate

As Senior Director, Marketing AI & Marketing Operations, you will lead AI as a core operating capability across Marketing  will own the strategy, hands‑on development, and scaled deployment of AI agents and workflows that drive pipeline efficiency, accelerate content and localization, and materially improve marketing productivity.

This role is for a hands‑on builder with strong technical fluency who can translate complex business problems into tangible, AI‑driven solutions. Success is measured in revenue impact, time saved, and operational efficiency.

This is a 3 day per week hybrid role based in our Bellevue office.

At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast‑paced, team‑driven environment where curiosity, trust, and impact matter, you’ll fit right in.

• 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 Hub Spot, 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 Mar Tech 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:
• Hub Spot 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, Linked In, 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.

• 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…