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Tech Stack
Tools & technologiesCloudETL
About the role
Key responsibilities & impact- Own the Marketing AI roadmap and use-case portfolio
- Run the intake stage-gate from idea through pilot, production, and operational handoff
- Stand up and manage the agent and orchestration platform, including reusable components, data, and vendor integrations
- Own AI governance through agent audits, brand-risk scoring, and exclusion zones
- Drive organizational adoption and manage the network of embedded AI liaisons
- Build and lead a multidisciplinary team through hiring and talent integration
- Measure and report capacity gained, speed to market, business impact, and failed initiatives
- Shepherd AI initiatives from strategy through scaled implementation, including platform, integration, measurement, change management, and handoff
Requirements
What you’ll need- 10+ years in marketing technology, growth engineering, applied AI, or technical product
- 4+ years leading teams
- Production track record moving AI use cases from proof of concept to scaled operation
- Strong understanding of marketing operations and AI applications
- Technical knowledge of agent orchestration, data integration, and evaluation
- Familiarity with CDP, reverse ETL, cloud data platforms, and enterprise LLM tooling highly valued
- Experience running a center-led function, center of excellence, or platform team
- Experience managing brand, legal, and privacy risk in AI systems
- Ability to drive outcomes across teams without direct authority
- Experience evaluating and managing AI and martech vendors
- Bachelor's degree required
- Advanced degree in a technical or business field is a plus
Benefits
Comp & perks- Remote work from a physical location of choice
- Equity awards based on experience, performance, and location
- Flexible distributed work through Cloud HQ
- Equal employment opportunity and accommodation support
