Remote Alteryx Jobs in Mesa, AZ (NOW HIRING)

Meet the Moment with AlteryxWe'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.You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.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 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 ResponsibilitiesLead Strategic Prototyping & Technical ImplementationArchitect and build rapid AI prototypes using APIs to validate high-impact use cases in days, not monthsDesign and implement intelligent automation across our marketing stack using low-code platforms (Zapier, Make, n8n, Workato) integrated with AI capabilitiesProductionize machine learning models from our data science team into Marketo, Salesforce, 6sense, and marketing workflowsOwn technical strategy for Marketing AI platform selection, integration architecture, and tool implementationBuild or contribute to executive dashboards that surface AI insights, quantify ROI, and demonstrate business impactMentor marketing operations team members on technical implementation, automation patterns, and AI integration best practicesDrive Adoption & Organizational TransformationDevelop and execute comprehensive AI enablement strategy across the marketing organizationBuild champion networks at all levels from individual contributors to executive leadershipCreate scalable training programs, workshops, certification paths, office hours, hands-on enablement sessions, and selfservice resourcesContribute to the AI center of excellence with playbooks, governance frameworks, best practices, and AI usage guidelinesMeasure and continuously optimize adoption metrics, user satisfaction scores, and organizational AI fluencyShape Strategy & Lead Cross-Functional PartnershipsOwn the AI roadmap for marketing operations with detailed 1-year plan and strategic 3-year vision aligned to business goalsPartner with data science leadership as peer: define joint priorities, scope model requirements, establish success metrics and governanceEstablish AI governance including ethics guidelines, data quality standards, responsible AI policies, and risk mitigation frameworks for marketingDrive cross-functional alignment on initiatives spanning marketing, sales, IT, and data teamsRepresent marketing operations as internal thought leader on AI capabilities, emerging technologies, and industry best practicesRequired Qualifications:Experience:5-7 years in marketing operations, marketing technology, revenue operations, or related technical roles2+ years hands-on experience implementing AI/ML tools in business contextsProven track record leading (not just supporting) technical initiatives from concept through production deploymentDemonstrated success driving adoption of new technologies across 50+ person organizationsTechnical & Prototyping:Deep expertise with AI APIs (OpenAI, Anthropic, Google AI) building real business solutionsExpert-level workflow automation skills using Zapier, n8n, Workato, or similar platformsAdvanced integration expertise including REST APIs, webhooks, iPaaS platforms, and data flow architectureStrong SQL skills for data analysis, validation, and pipeline developmentPlatform expertise with marketing automation (Marketo, HubSpot, Pardot, Eloqua) and CRM (Salesforce, HubSpot, Dynamics) systemsExperience building dashboards in Tableau, Looker, PowerBI, or similar BI toolsUnderstanding of ML model lifecycle (productionizing models, not building them from scratch)Advanced prompt engineering and LLM application developmentEnablement & Change:Proven success creating structured training programs with measurable adoption outcomesChange management expertise: overcoming resistance, building champions, scaling adoption across organizationsExecutive communication skills: ability to present complex technical concepts to C-level stakeholders with impactMentorship experience developing technical capabilities of team membersDocumentation excellence creating comprehensive playbooks, guides, and best practice librariesStrategic Planning & Execution:Demonstrated experience building multi-year technology roadmaps aligned to business objectivesBusiness case expertise creating compelling ROI models that secure executive buy-in and budget approvalPrioritization mastery using frameworks (ICE, RICE, impact/effort matrix) to drive prioritizationCross-functional leadership successfully coordinating initiatives across multiple teamsPreferred Qualifications:Advanced Technical Skills:Python or JavaScript for custom integrations, scripting, and automationCloud 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 documentationAPI development experience building custom endpoints or webhooksLeadership & Strategy:Product management background in B2B SaaS or MarTech companiesThought leadership through conference speaking, published articles, or industry recognitionIndustry & Platform Expertise:B2B SaaS marketing operations experience at scale (500+ employees, $100M+ revenue)Marketing technology vendor experience understanding the product side of MarTechEnterprise AI implementations at companies with complex technology stacksSalesforce Administrator or Marketing Automation platform certifications (Marketo Certified Expert, HubSpot)_ compensation 160,000-175,000 plus bonus and equityAI/ML certifications from Google Cloud, AWS, Coursera, or similar platformsFind 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 .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.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.

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