Company
AI
TechnicalAccountManager
Neural analysis suggests this role is
optimal for Senior candidates.
“Technical Account Manager. Skills: Technical Account Management, AI Adoption, Enterprise Deployment Leadership, Stakeholder Navigation, Cross-functional Orchestration. Own enterprise delivery end-to-end. Lead executive steering committees”
What You'll Achieve.
Drives efficiency and top-line revenue growth; Drives measurable outcomes; Value realization; Ensure performance, adoption, and sustained business impact
Industry & Context.
Turn ambiguity into clear specs; Identify gaps and best practices; Bringing clarity and process to ambiguous situations
Based in Taiwan, Comfort operating in both large enterprises and fast-moving startups
What They're Looking For.
Must Have
5+ years of delivery leadership experience in technical account management, implementation leadership, or technical consulting, AI architecture literacy, including generative AI, LLMs, embeddings, ingestion pipelines, and related components, Demonstrated success owning outcomes and driving expansion while managing complex, multi-party enterprise rollouts, especially in regulated or high-complexity sectors, Proven ability to execute at speed, bringing clarity and process to ambiguous situations and adjusting quickly, Track record leading high-stakes programs and bringing software or AI solutions into production (not POC), Executive communication
Nice to Have
University degree in Engineering, Computer Science, Information Systems, Business degree is ok if paired with clearly demonstrated technical depth
What You'll Do.
Own enterprise delivery end-to-end
Lead executive steering committees
Translate business workflows into technical requirements
Partner effectively across IT
Orchestrate cross-functional execution
Drive outcomes and product learning
Manage production launch and monitor performance
How You'll Work.
Team & Collaboration
Partnering closely with engineers; Partner with engineering team; Partner effectively across IT, InfoSec, legal, and compliance; Work closely across different teams including Product, Design, AI Engineering, and Architecture
Communication Scope
Executive communication
Process & Methodology
Delivery leadership, Engagement leadership, Keep momentum, Make sure every commitment is delivered with excellence, Turn ambiguity into clear specs, Map needs to AI capabilities, Maintain startup-level speed and adaptability, Align on scope, responsibilities, and a tight delivery cadence, Advise customers, Channel actionable insights into the company’s platform roadmap, Manage the integration, UAT, cutover, and post-launch monitoring, Ensure performance, adoption, and sustained business impact, Managing complex, multi-party enterprise rollouts, Execute at speed, Bringing clarity and process to ambiguous situations, Adjusting quickly, Leading high-stakes programs, Bringing software or AI solutions into production
Full Job Description
## Description Overview Our client is an AI adoption powerhouse, enabling enterprises with complex workflows to use purpose-built AI that drives efficiency and top-line revenue growth. Headquartered in the US and now expanding to Asia, they are looking for an exceptional Technical PM to join their growing team in Taiwan. Lead enterprise deployments while partnering closely with engineers to translate complex AI workflows into scalable solutions. This is a hands-on engagement leadership role that drives measurable outcomes in fast-changing environments. ## What You Will Do Own enterprise delivery end-to-end: Serve as the accountable lead from kickoff to value realization. Lead executive steering committees, keep strong momentum, and make sure every commitment is delivered with excellence. Translate business workflows into technical requirements: Turn ambiguity into clear specs, and partner with engineering team to map needs to AI capabilities (LLMs, RAG, agentic workflows). Navigate complex enterprise stakeholders: Partner effectively across IT, InfoSec, legal, and compliance while maintaining startup-level speed and adaptability. Orchestrate cross-functional execution: Work closely across different teams including Product, Design, AI Engineering, and Architecture to align on scope, responsibilities, and a tight delivery cadence. Drive outcomes and product learning: Identify gaps and best practices, advise customers, and channel actionable insights into the company’s platform roadmap. Manage production launch and monitor performance: Manage the integration, UAT, cutover, and post-launch monitoring to ensure performance, adoption, and sustained business impact. ## What You Will Need University degree in Engineering, Computer Science, Information Systems is preferred. Business degree is ok if paired with clearly demonstrated technical depth. 5+ years of delivery leadership experience in technical account management, implementation leadership, or technical consulting,
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