AI Operations Lead, Marketing

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.

Primary 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

Required Qualifications:

Experience:

- 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

Technical & Prototyping:

- 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

Enablement & Change:

- 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

Strategic Planning & Execution:

- 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

Preferred Qualifications:

Advanced Technical Skills:

- 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

Leadership & Strategy:

- 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

Industry & Platform Expertise:

- 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)

_ compensation 160,000-175,000 plus bonus and equity

- AI/ML certifications from Google Cloud, AWS, Coursera, or similar platforms

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.

Benefits & Perks:

Alteryx has amazing benefits for all Associates which can be viewed here.

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.