Alteryx, Inc. is seeking an AI Operations Lead to architect and drive AI transformation strategy within the Marketing organization. You will serve as the technical leader pioneering how marketing leverages AI to drive efficiency and competitive advantage, balancing strategic vision with hands-on execution.
What You'll Do
- Architect and build rapid AI prototypes using APIs to validate high-impact use cases.
- Design and implement intelligent automation across the marketing stack using low-code platforms integrated with AI capabilities.
- Productionize machine learning models from the data science team into marketing platforms and 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.
- Develop and execute comprehensive AI enablement strategy across the marketing organization.
- Build champion networks and create scalable training programs, workshops, and self-service resources.
- Contribute to the AI center of excellence with playbooks, governance frameworks, and best practices.
- 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.
- Partner with data science leadership to define joint priorities, scope model requirements, and establish success metrics.
- Establish AI governance including ethics guidelines, data quality standards, responsible AI policies, and risk mitigation frameworks.
- Drive cross-functional alignment on initiatives spanning marketing, sales, IT, and data teams.
- Represent marketing operations as internal thought leader on AI capabilities and emerging technologies.
What We're Looking For
- 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 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.
- Proven success creating structured training programs with measurable adoption outcomes.
- Change management expertise: overcoming resistance, building champions, scaling adoption across organizations.
- Executive communication skills: ability to present complex technical concepts to C-level stakeholders.
- Mentorship experience developing technical capabilities of team members.
- Documentation excellence creating comprehensive playbooks, guides, and best practice libraries.
- Demonstrated experience building multi-year technology roadmaps aligned to business objectives.
- Business case expertise creating compelling ROI models that secure executive buy-in and budget approval.
- Prioritization mastery using frameworks (ICE, RICE, impact/effort matrix) to drive prioritization.
- Cross-functional leadership successfully coordinating initiatives across multiple teams.
Nice to Have
- Python or JavaScript for custom integrations, scripting, and automation.
- Cloud platform experience (AWS, GCP, Azure) and their AI services (Bedrock, Vertex AI, Azure OpenAI).
- Data engineering background including ETL, data pipelines, and data warehouse experience (Snowflake, BigQuery, Redshift).
- GitHub/version control for code management and documentation.
- API development experience building custom endpoints or webhooks.
- Product management background in B2B SaaS or MarTech companies.
- MBA or graduate degree in business, analytics, data science, or related field.
- Thought leadership through conference speaking, published articles, or industry recognition.
- B2B SaaS marketing operations experience at scale (500+ employees, $100M+ revenue).
- Marketing technology vendor experience understanding the product side of MarTech.
- Enterprise AI implementations at companies with complex technology stacks.
- Salesforce Administrator or Marketing Automation platform certifications (Marketo Certified Expert, HubSpot).
- AI/ML certifications from Google Cloud, AWS, Coursera, or similar platforms.
Technical Stack
- AI APIs: OpenAI, Anthropic, Google AI
- Low-code platforms: Zapier, Make, n8n, Workato
- Integration: REST APIs, Webhooks, iPaaS platforms
- Data & Querying: SQL
- Marketing automation: Marketo, HubSpot, Pardot, Eloqua
- CRM: Salesforce, HubSpot, Dynamics
- BI tools: Tableau, Looker, PowerBI
- Programming: Python, JavaScript
- Cloud platforms: AWS, GCP, Azure
- AI services: Bedrock, Vertex AI, Azure OpenAI
- Data warehouses: Snowflake, BigQuery, Redshift
- Version control: GitHub
Team & Environment
You will partner with data science, marketing leadership, and stakeholders across the organization.
Benefits & Compensation
- Salary range: $160,000-$175,000
- Equity compensation
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records.
