AI Operations Lead, Marketing; remote
Springfield, Hampden County, Massachusetts, 01119, USA
Listed on 2026-05-31
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IT/Tech
AI Engineer
Meet the Moment with Alteryx
We’re living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.
AI Marketing Operations LeadWe’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 OverviewIn 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 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.
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
- 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
Required Qualifications:
- 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
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