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As the Optimizely AI (Opal) & AI-focused Adoption Advisor, you will help customers operationalize AI across their digital workflows and ways of working. This role is ideal for someone who is not only customer-focused and consultative, but also deeply curious and hands-on with AI technologies, workflows, and emerging use cases. You will act as both a trusted advisor to customers and an internal advocate for AI-forward adoption strategies across the business. You will leverage your experience in consultative customer service/sales, solution optimization, and strong project management to help customers identify and implement Opal- and AI-driven workflows that increase the value they realize from their Optimizely DXP solutions. You will become a subject matter expert in Opal’s AI capabilities and its connection to Experimentation, CMS, CMP, ODP, and the broader Optimizely ecosystem.
Job Responsibility:
Build on previous product experience, cross-functional partnerships, and internal learning to become a subject matter expert in Opal and core AI use cases across Optimizely’s products. This includes understanding Opal’s AI workflows, credit consumption model, and common cross-product usage patterns
Deliver white glove customer experiences by consulting directly with high-risk or low-adoption accounts to assess their Opal usage, identify blockers, evaluate AI workflow maturity, and provide actionable guidance
Provide strategic guidance to support the adoption of Opal and product-embedded AI features, driving full value realization and helping customers implement scalable, efficient processes powered by AI
Support a unified customer experience by collaborating with Product, Customer Success, Onboarding/Education, and Professional Services to drive outcome-focused value through Opal’s capabilities and integration across the Optimizely suite
Manage all aspects of Opal adoption including scorecard analysis, maturity assessments, industry benchmarking, identification of AI-driven opportunities, and recommendations for future product functionality or workflow optimization
Maintain and provide comprehensive reporting on key business impacts including Opal adoption trends, credit usage patterns, churn reduction, and overall customer value outcomes tied to AI workflows
Help drive a continuous improvement environment by identifying opportunities to simplify and streamline Opal-related processes, playbooks, and cross-functional recommendations
Help champion and scale AI-forward ways of working internally and externally by identifying emerging AI use cases, sharing best practices, and helping customers and teams adopt AI-driven workflows
Partner cross-functionally to help shape scalable AI adoption motions, enablement approaches, and customer-facing best practices related to Opal and AI-assisted workflows
Translate practical AI usage into scalable customer adoption strategies that improve productivity, decision-making, experimentation velocity, or operational efficiency
Requirements:
2+ years of experience in customer consultation, product adoption, professional services, marketing technology, data-driven optimization, or AI/automation workflows
Strong collaboration and communication skills at all levels of an organization, including end users, vendors, management, and executives
Able to successfully manage and execute on AI-driven customer projects end-to-end in a fast-paced, dynamic environment
Demonstrated hands-on use of AI tools such as ChatGPT, Claude, Copilot, or agent-based workflows is strongly preferred. Candidates should be able to speak concretely about how they have applied AI to improve workflows, productivity, automation, customer engagement, or operational outcomes
Able to translate business problems into AI workflows or automation recommendations that improve productivity, insights, or decision-making
Comfortable independently experimenting with emerging AI tools and workflows, with a strong curiosity for how AI can reshape customer experiences, internal operations, and digital ways of working
Comfortable working with structured and unstructured data and evaluating customer readiness, use cases, and adoption signals across multiple products
Work efficiently in a dynamic setting engaging with numerous customers and supporting them through AI onboarding, enablement, and value realization
Experience working with global customers preferred
Bachelor's Degree or equivalent work experience
Nice to have:
Experience working with global customers preferred