AI Deployment Consultant

Treasure AI:

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action.

Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

As an AI Deployment Consultant at Treasure Data, you sit at the intersection of customer success and AI-powered innovation. This is a hands-on, customer-facing Professional Services role - you work directly with Fortune 1000 clients to deliver value from Treasure AI's data and experience platform, from initial implementation through ongoing use case expansion.

The role operates across two interconnected lanes. The first is CDP foundation work: while you don't own full CDP implementations, you bring genuine fluency in data flow, orchestration, and the implementation lifecycle. On Foundations engagements, you come in toward the end to deliver customer training and enablement, and to build a strategic use case roadmap, ideally AI-focused, that sets the customer up for long-term success.

The second, and increasingly primary, lane is AI deployment. This is where the practice is investing and where your impact will grow. You work with both new and existing customers to deploy AI agents and skills via Treasure AI Studio, designing and building autonomous processes and agent-based solutions that address real business needs. You don't just configure tools, you help customers understand what's possible, shape the solution, and own the outcome.

You're comfortable managing multiple customer engagements simultaneously, including escalations, and you bring the judgment to prioritize and adapt without losing quality. You're also a builder at heart: eager to shape the AIDC practice itself, contributing to playbooks, patterns, and methodologies, not just execute within it.

• Lead requirements elicitation and workshop sessions with business and technical stakeholders to uncover customer objectives, data challenges, and AI-driven solution needs.

• Analyze and document business processes, user journeys, data flows, and technical requirements, translating business goals into actionable solution designs.

• Partner with Solution Architects and Data Engineers to design and configure Treasure Data-based use cases, including segmentation, audience activation, personalization, AI-powered recommendations, and reporting.

• Design and deploy AI agent and skill-based solutions via Treasure AI Studio, building autonomous workflows that address specific customer business problems.

• Configure no-code/low-code elements of CDP workflows, user interfaces, AI agent pipelines, and data activation tools to meet client needs.

• Execute hands-on testing, validation, and troubleshooting of solution workflows, including AI and agentic components, prior to launch.

• Deliver customer enablement: workshops, training, and guided handoffs for both business end users and technical client teams across CDP and AI capabilities.

• On Foundations engagements, own the late-stage training program and strategic use case roadmap, ensuring customers leave with a clear path to AI-powered activation.

• Manage multiple active customer engagements concurrently, including escalations, with the organizational discipline to deliver quality across all of them.

• Advise clients on best practices related to responsible AI use, data governance, and compliance within the Treasure Data ecosystem.

• Actively contribute to building the AIDC practice - developing playbooks, reusable frameworks, and delivery methodologies that raise the bar for the whole team.

• Own documentation: requirements specs, functional design documents, data mapping sheets, AI workflow diagrams, and end-user guides.

• 5+ years of experience in functional consulting, business analysis, or solution delivery, preferably in SaaS, martech/adtech, or data-driven environments.

• Proven expertise gathering and interpreting complex requirements from diverse business and technical stakeholders.

• Hands-on experience designing and deploying AI-based solutions — agentic workflows, LLM applications, or intelligent decisioning — in a client-facing context.

• Genuine fluency in CDP or data platform concepts: data flow, segmentation logic, audience activation, and data transformation.

• Ability to break down ambiguous business problems and deliver structured, documentation-driven solutions that fit within broader project architecture.

• Demonstrated ability to manage multiple customer engagements simultaneously, maintaining quality and stakeholder trust across all of them.

• Strong communication and facilitation skills — comfortable leading workshops, delivering training, and translating technical concepts for…