Job description

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. Your Role: 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. Responsibilities: • Lead requirements elicitation and workshop sessions with business and technical stakeholders to uncover customer objectives, data challenges, and AI-driven solution needs. • 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. Job Requirements: • 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 non-technical audiences. • Genuine curiosity and passion for AI — someone who follows the space, experiments independently, and brings energy to the AI deployment work, not just openness to it. • Collaborative and adaptable, with the initiative to help build and shape a growing practice rather than simply follow an established playbook. • Bachelor's degree or equivalent practical experience. Preferred Qualifications • Experience with Treasure AI platform, or equivalent enterprise CDP platforms, including configuration, onboarding, and functional design. • Background in customer data management, digital marketing execution, or data privacy/compliance (GDPR, CCPA). • Certifications or demonstrated skills in building, testing, or enabling AI/LLM/chatbot/decision agent solutions. • Experience working on multi-functional project teams with Solution Architects, Data Engineers, and Engagement Managers. • Strong consulting background, with experience advising enterprise clients on technology strategy and change management. Physical Requirements: Working out of the New York office according to our “Global Hybrid Working Policy.” Travel Requirements: Up to 20% travel. Perks and Benefits (US): Our benefit package showcases our culture of care and empathy with • Comprehensive medical, dental, vision plans and Employee Assistance Program (EAP) • Competitive compensation packages • Company paid life insurance 3x salary • Company paid short- and long-term disability coverage • Retirement planning (401K) with 4% company match • Restricted Stock Units (RSU) • Flexible Time Off (FTO) • Up to 26 weeks paid parental leave including a post-partum night nurse • Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit. Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation! This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.

Requirements

Must-haves

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

Nice-to-haves

Experience with Treasure AI platform, or equivalent enterprise CDP platforms, including configuration, onboarding, and functional design.
Background in customer data management, digital marketing execution, or data privacy/compliance (GDPR, CCPA).
Certifications or demonstrated skills in building, testing, or enabling AI/LLM/chatbot/decision agent solutions.
Experience working on multi-functional project teams with Solution Architects, Data Engineers, and Engagement Managers.
Strong consulting background, with experience advising enterprise clients on technology strategy and change management.

Application prep

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Benefits

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Dental

Vision

401k

Parental Leave