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Technical Account Manager; TAM

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Treasure AI
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Consultant
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
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 Initiatives
  • Guide 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 experience
  • 5+ years of experience in technical consulting or solutions architecture
  • Strong experience with:
    • Data connectivity and ingestion architectures
    • Solution architecture and system design
    • Data engineering principles and practices
    • Basic understanding of AdTech and…
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