Director, Marketing – Digital Customer Experience

Join Prologis in Denver and lead the next phase of global digital customer experience with an AI-first transformation mindset. In this onsite role, you will own the strategy and roadmap for digital experience platforms, driving AI-enabled capabilities from early experimentation through production, adoption, and measurable improvement.

What you’ll help build

• Global Digital Customer Experience strategy that embeds AI, automation, data, and intelligent experiences as foundational design principles
• An evolution of customer journeys and digital experiences across marketing operations, content workflows, search, personalization, analytics, and employee workflows
• A modernization approach for the web and digital experience ecosystem that improves customer experience, marketer autonomy, content reuse, localization, accessibility, performance, scalability, and intelligent automation

Responsibilities

• Define and lead the global Digital Customer Experience strategy, roadmap, and priorities with AI, automation, data, and intelligent experiences embedded as design principles
• Continuously reimagine customer journeys and digital experiences, including marketing operations, content workflows, search, personalization, analytics, and employee workflows through an AI-first lens
• Identify, assess, and prioritize AI and automation opportunities using factors such as customer and business value, feasibility, data readiness, risk, effort, adoption readiness, and alignment with enterprise strategy
• Lead AI-enabled DCE capabilities from discovery and experimentation through production, adoption, measurement, and continuous improvement
• Drive adoption of generative AI, conversational AI, intelligent search, personalization, automation, analytics, copilots, and agentic workflows where they create measurable customer or business value
• Identify opportunities for AI agents and copilots, define product and business requirements, and partner with Enterprise AI and engineering teams on orchestration, tool access, guardrails, monitoring, and deployment
• Manage digital platforms as products with measurable outcomes, product roadmaps, continuous improvement, and feedback loops across customers and stakeholders
• Oversee the digital marketing technology portfolio, including CMS/DXP, property search, DAM, marketing automation, analytics, consent/tagging, search, personalization, and customer-facing integrations
• Use data, experimentation, customer insights, and AI-driven analytics to improve journeys, engagement, conversion, operational efficiency, and decision-making
• Partner with Enterprise AI, IT, Enterprise Architecture, Security, Legal, Data, Privacy, Procurement, and Vendor Management to ensure solutions are scalable, secure, governed, and responsible and aligned with enterprise standards
• Help shape practical enterprise AI patterns by bringing forward DCE requirements, use cases, lessons learned, and reusable capabilities
• Collaborate with enterprise technology teams to leverage shared AI platforms, models, knowledge capabilities, agent frameworks, orchestration services, and integration patterns
• Lead strategic vendor and implementation-partner relationships while maintaining Prologis ownership of product strategy, architecture decisions, customer experience, and institutional knowledge
• Drive adoption and organizational change through experimentation, education, communications, training, new ways of working, and measurement of business outcomes
• Build and develop a high-performing DCE team emphasizing AI fluency, experimentation, data-driven decision-making, customer-centric product thinking, and continuous reinvention
• Establish clear global and regional governance, prioritization, product ownership, and operating models

Requirements

• 10+ years of experience in digital customer experience, digital product management, digital marketing, marketing technology, AI-enabled products, or related fields
• Proven leadership of enterprise digital platforms or customer-facing digital products, including ownership of strategy, roadmaps, business outcomes, and organizational change
• Demonstrated ability to use AI to transform digital products, customer experiences, marketing operations, or business workflows, moving AI-enabled capabilities from experimentation into production with measurable adoption
• Strong working knowledge of generative AI, LLMs, RAG, conversational AI, intelligent search, personalization, AI agents, copilots, workflow automation, evaluation approaches, human-in-the-loop patterns, and responsible AI practices
• Ability to identify and prioritize AI opportunities based on customer value, business value, feasibility, data readiness, risk, effort, and adoption readiness
• Experience translating business and customer problems into AI-enabled product opportunities, requirements, experiments, and measurable outcomes
• Strong experience working across Marketing, Product, Technology, Data, and AI organizations
• Experience with CMS/DXP platforms, marketing automation, digital asset management, analytics, personalization, search, and customer journey design
• Strong understanding of enterprise architecture, integrations, APIs, data, security, privacy, and technology governance as they impact AI-enabled products
• Experience partnering with AI, engineering, architecture, data, security, privacy, and governance teams to move AI-enabled capabilities into enterprise production
• Experience using data, experimentation, customer insight, and business metrics to evaluate decisions and measure value
• Experience leading global programs, vendors, budgets, roadmaps, and organizational change
• Strong executive communication, stakeholder management, product leadership, and cross-functional leadership skills
• Ability to balance innovation and experimentation with scalability, governance, customer experience, business value, and responsible technology practices

Tools and Technologies

CMS/DXP, web and CMS, property search, digital asset management, marketing automation, analytics, personalization, conversational AI, generative AI, LLMs, RAG, intelligent search, AI agents, copilots, workflow automation, evaluation approaches, human-in-the-loop patterns, APIs, Drupal, Adobe Experience Manager, Contentful, Sitecore, Marketo, Bynder.

Benefits

• Health insurance, dental, and vision insurance for employees and eligible dependents
• 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation
• PTO with a starting accrual of 22 days per year in addition to paid holidays and volunteer time
• Robust benefits package including several other wellness, financial, and work/lifestyle-specific benefits

Compensation and Employment Details

• Employment type: Full time
• Location: Denver, Colorado (onsite)
• Additional locations: Phoenix, Arizona; San Francisco, California
• Salary range: USD 149,000 - 205,000 per year
• Whole compensation package: bonus target and LTI (Long Term Incentives) to be determined based on location, education, experience, knowledge, skills, abilities, internal equity, and alignment with market data

Preferred Qualifications

• Experience deploying generative AI, conversational AI, intelligent search, personalization, copilots, or AI agents in customer-facing or employee-facing environments
• Experience designing or managing AI-enabled products using enterprise knowledge, RAG, tool integration, workflow automation, agentic patterns, or human-in-the-loop processes
• Familiarity with AI evaluation, observability, guardrails, prompt and context management, and measurement of AI product quality
• Experience with enterprise platforms such as Drupal, Adobe Experience Manager, Contentful, Sitecore, Marketo, Bynder, or comparable technologies
• Experience leading large-scale digital modernization or AI-enabled transformation initiatives
• Experience identifying where traditional digital experiences or workflows should be redesigned rather than simply enhanced with AI
• Experience working within an enterprise AI operating model with centrally established AI platforms, governance, and standards while business and product teams own use-case discovery, product experience, adoption, and outcomes
• Experience in a global B2B organization