Technical Account Manager (TAM)

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:The Technical Account Manager (TAM) at Treasure AI is a technical specialist role focused on providing advanced platform expertise and implementation support to both enterprise customers and strategic partners. As Treasure AI evolves into an AI-native company where the CDP serves as the contextual data foundation powering AI agents and intelligent automation the Technical Account Manager (TAM) plays a key role in guiding customers through this transformation.Responsibilities:Be the technical authority for Treasure AI platform capabilities, serving as the primary escalation point for complex technical challenges faced by customers and partners.Guide technical solution design and architecture, providing expert guidance on data connectivity, ingestion patterns, and implementation approaches.Lead technical deep-dives and knowledge transfer sessions to enable customers and partners on platform features, focusing on technical best practices and optimal implementation patterns.Proactively monitor and optimize customer environments, identifying opportunities for technical enhancements and providing clear visibility into platform performance.Create and maintain technical documentation, including solution architecture documents, implementation guides, and best practice recommendations.Drive technical product adoption by assessing the feasibility of proposed solutions, advising on platform capabilities, and ensuring successful implementation of complex use cases.Provide technical leadership in partner and customer implementations, coordinating with implementation teams to ensure architectural integrity and best practices are maintained.Deliver regular technical status updates and recommendations, effectively communicating complex technical concepts to various stakeholders.Stay current with the latest platform features and capabilities, providing technical guidance on new functionality and potential applications.This is a hands-on role – be ready to jump in and use the product from day one.AI-Native InitiativesGuide customers in adopting Treasure AI's AI-native tooling including Treasure Code (CLI/SDK), Treasure Studio, and the AI Agent Foundry to accelerate implementation workflows and enable AI-assisted operations.Support the design and deployment of AI agents (Audience Agents, Custom Agents) from POC through production, helping customers unlock value from Treasure Data's agentic capabilities.Identify opportunities within customer accounts to drive adoption of AI-powered features across Personalization, Engagement, and Creative AI Suites, contributing to AI Credit consumption growth.Leverage AI tools internally (Treasure Studio, Claude-powered skills) to accelerate technical discovery, solution design, and documentation modeling AI-native ways of working for the broader TAM organization.Job Requirements:Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience5+ years of experience in technical consulting or solutions architectureStrong experience with:Data connectivity and ingestion architecturesSolution architecture and system designData engineering principles and practicesBasic understanding of AdTech and MarTech ecosystemsAdvanced SQL knowledge and data modeling experienceExperience with ETL/ELT processes and data pipeline designStrong technical documentation and communication skillsPreferred Qualifications:Experience with Treasure Data or similar CDP platformsAdvanced knowledge of marketing technology and advertising technology landscapesExpertise in one or more specialty areas:Advanced data modelingMachine learning and AI applicationsReal-time data processingPrivacy and compliance architectureFamiliarity with AI/LLM technologies such as prompt engineering, AI agent configuration, or conversational AI workflowsBackground in partner or customer-facing technical rolesExperience with agile development methodologiesPhysical Requirements:Working out of the Mountain View, California office according to our “Global Hybrid Working Policy”: 3 days in office, 2 days remote.Travel Requirements:25% travel average with the opportunity to travel more if desired.Perks and Benefits (US):Our benefit package showcases our culture of care and empathy withComprehensive medical, dental, vision plans and Employee Assistance Program (EAP)Competitive compensation packagesCompany paid life insurance 3x salaryCompany paid short- and long-term disability coverageRetirement planning (401K) with 4% company matchRestricted Stock Units (RSU)Flexible Time Off (FTO)Up to 26 weeks paid parental leave including a post-partum night nurseComprehensive 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.