Zoom Video Communications

2 weeks ago

AI Deployment Strategist (Tokyo Based) - Chiyoda-ku, Tokyo, Japan

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Deploy production AI agents for strategic customers throughout the sales cycle, moving Zoom Virtual Agent from proof-of-concept to trusted daily use within 90 days. Partner with Sales, Product, and Engineering to validate technical value using voice AI, integrations, and real customer data. Convert field insights into scalable platform capabilities, while bringing contact-center and LLM/agent deployment expertise to ensure measurable performance before go-live.

Location: Tokyo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Deploy production AI agents for strategic customers during the sales cycle, taking Zoom Virtual Agent from proof-of-concept to live use within 90 days.
•Partner across Sales, Product, and Engineering to prove technical value using voice AI, integrations, and real customer data.
•Turn field insights into platform capabilities that scale and make each deployment faster.
•Apply voice stack expertise (ASR, TTS, turn-taking, barge-in) and tune at least one major provider.
•Contribute to agent performance validation by writing tests, logging failures, and iterating against measurable targets before go-live.

Key Requirements

•6+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar).
•Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments.
•Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia, or similar).
•Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems like CRMs and telephony platforms.
•Write tests and log failures to iterate against measurable targets, and communicate technical concepts clearly to business and engineering stakeholders.

Experience:6+ yearsSaaSAI/MLCustomer-facing technical rolesContact centerRegulated industriesHealthcareFinancial servicesTelecom

Skills:CommunicationStakeholder managementClarityConfidenceTestingIteration

Languages:JapaneseEnglish

Tech Stack:PythonTypeScriptGoLLM-based agentsTool useMulti-step orchestrationGuardrailsASRTTSTurn-takingBarge-inElevenLabsAzureCartesiaCRMsTelephony platformsGenesysFive9NICEZoom Contact Center

Company Brief

Zoom Video Communications

Provides video conferencing, chat, phone, webinar, and collaboration software for businesses, schools, and individuals. Its platform is widely used for remote meetings, virtual events, and hybrid work communication.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2011

Website LinkedIn

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Zoom Video Communications

2 weeks ago

AI Deployment Strategist (Tokyo Based) - Chiyoda-ku, Tokyo, Japan

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Deploy production AI agents for strategic customers during the sales cycle, taking Zoom Virtual Agent from proof-of-concept to live use within 90 days.
•Partner across Sales, Product, and Engineering to prove technical value using voice AI, integrations, and real customer data.
•Turn field insights into platform capabilities that scale and make each deployment faster.
•Apply voice stack expertise (ASR, TTS, turn-taking, barge-in) and tune at least one major provider.
•Contribute to agent performance validation by writing tests, logging failures, and iterating against measurable targets before go-live.

Key Requirements

•6+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar).
•Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments.
•Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia, or similar).
•Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems like CRMs and telephony platforms.
•Write tests and log failures to iterate against measurable targets, and communicate technical concepts clearly to business and engineering stakeholders.

Experience:6+ yearsSaaSAI/MLCustomer-facing technical rolesContact centerRegulated industriesHealthcareFinancial servicesTelecom

Skills:CommunicationStakeholder managementClarityConfidenceTestingIteration

Languages:JapaneseEnglish

Tech Stack:PythonTypeScriptGoLLM-based agentsTool useMulti-step orchestrationGuardrailsASRTTSTurn-takingBarge-inElevenLabsAzureCartesiaCRMsTelephony platformsGenesysFive9NICEZoom Contact Center

Company Brief

Zoom Video Communications

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2011

Website LinkedIn