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
