Key skills
SQLTableauAIMachine LearningMLLLMOpenAIAnthropicLookerBISalesforceCRMLeadershipSales
About this role
Role Overview
- Architect and build rapid AI prototypes using APIs to validate high-impact use cases in days, not months
- Design and implement intelligent automation across our marketing stack using low-code platforms (Zapier, Make, n8n, Workato) integrated with AI capabilities
- Productionize machine learning models from our data science team into Marketo, Salesforce, 6sense, and marketing workflows
- Own technical strategy for Marketing AI platform selection, integration architecture, and tool implementation
- Build or contribute to executive dashboards that surface AI insights, quantify ROI, and demonstrate business impact
- Mentor marketing operations team members on technical implementation, automation patterns, and AI integration best practices
- Develop and execute comprehensive AI enablement strategy across the marketing organization
- Build champion networks at all levels from individual contributors to executive leadership
- Create scalable training programs, workshops, certification paths, office hours, hands-on enablement sessions, and self-service resources
- Contribute to the AI center of excellence with playbooks, governance frameworks, best practices, and AI usage guidelines
- Measure and continuously optimize adoption metrics, user satisfaction scores, and organizational AI fluency
- Own the AI roadmap for marketing operations with detailed 1-year plan and strategic 3-year vision aligned to business goals
- Partner with data science leadership as peer: define joint priorities, scope model requirements, establish success metrics and governance
- Establish AI governance including ethics guidelines, data quality standards, responsible AI policies, and risk mitigation frameworks for marketing
- Drive cross-functional alignment on initiatives spanning marketing, sales, IT, and data teams
- Represent marketing operations as internal thought leader on AI capabilities, emerging technologies, and industry best practices
Requirements
- 5-7 years in marketing operations, marketing technology, revenue operations, or related technical roles
- 2+ years hands-on experience implementing AI/ML tools in business contexts
- Proven track record leading (not just supporting) technical initiatives from concept through production deployment
- Demonstrated success driving adoption of new technologies across 50+ person organizations
- Deep expertise with AI APIs (OpenAI, Anthropic, Google AI) building real business solutions
- Expert-level workflow automation skills using Zapier, n8n, Workato, or similar platforms
- Advanced integration expertise including REST APIs, webhooks, iPaaS platforms, and data flow architecture
- Strong SQL skills for data analysis, validation, and pipeline development
- Platform expertise with marketing automation (Marketo, HubSpot, Pardot, Eloqua) and CRM (Salesforce, HubSpot, Dynamics) systems
- Experience building dashboards in Tableau, Looker, PowerBI, or similar BI tools
- Understanding of ML model lifecycle (productionizing models, not building them from scratch)
- Advanced prompt engineering and LLM application development
Tech Stack
- SQL
- Tableau
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
- Bonuses
- Stock options