AI Operations Lead, Marketing

Alteryx•New York, MA

About The Position

We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. AI Marketing Operations Lead We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. Position Overview In this impact-oriented role, you’ll architect and drive our AI transformation strategy within Marketing. You’ll serve as the technical leader pioneering how our marketing organization leverages AI to drive efficiency, effectiveness, and competitive advantage. This role balances strategic vision with hands on execution. You’ll spend of your time prototyping AI solutions, enabling adoption across marketing teams, and shaping strategy and leading cross functional initiatives. You’ll partner with data science, marketing leadership, and stakeholders across the organization to turn AI from buzzword to measurable business advantage. You’ll lead by example by building rapid prototypes to prove value, driving organizational change to ensure adoption, and establishing the standards and best practices that others follow. This is a greenfield opportunity to define how a modern marketing organization harnesses AI.

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
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 with impact
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

Nice To Haves

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

Responsibilities

Lead Strategic Prototyping & Technical Implementation - 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
Drive Adoption & Organizational Transformation - 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 selfservice 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
Shape Strategy & Lead Cross-Functional Partnerships - 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

Benefits

Alteryx has amazing benefits for all Associates which can be viewed here.
For roles in San Francisco and Los Angeles: 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.

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