Google

Runs Search and YouTube and builds Gemini AI

AI Outcome Customer Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours

Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or equivalent practical experience.
Seven years of experience troubleshooting technical issues for internal or external partners or customers.
Experience leading technical delivery strategies, debugging systems, and collaborating with product and engineering organizations.
Experience with enterprise integrations such as application programming interfaces, enterprise content management systems, or identity; cloud infrastructure; or artificial intelligence or machine learning model deployments.
Experience in system design or orchestration frameworks.
Ability to communicate fluently in English and Japanese to support client relationship management in the region.

Responsibilities

Partner with Account teams and practice Customer Engineers during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate Forward Deployed Engineering engagement requests.
Lead upfront technical design for enterprise-grade artificial intelligence solutions, ensuring secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Diagnose and resolve complex customer implementation issues at the code level, identify core product bugs, and test workarounds to remove execution roadblocks.
Serve as the liaison to core Product and Engineering teams, troubleshoot systemic deployment blockers, and translate field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning delivery technicalities alongside customer-facing teams.
Architect integrations into customer IT ecosystems, including connectors, identity, data residency, and legal constraints, and drive technical delivery strategy from start to finish.
Coordinate technical design, systemic debugging, Product and Engineering integration, and strategic Forward Deployed Engineering alignment.
Shape solutions during technical evaluation for strategic accounts with a focus on adoption, rapid activation, and viable delivery.

Desired Qualifications

Experience orchestrating specialized technical resources to execute complex builds.
Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
Ability to investigate novel technical problems, resolve ambiguity, diagnose bugs, and develop credible architectural solutions.
Executive communication skills to translate technical integration issues into business impact.

Partner with Account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
7 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience leading technical delivery strategies, debugging systems, and collaborating with product/engineering organizations.
Experience with enterprise integrations (e.g., APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
Experience in system design or orchestration frameworks.
Ability to communicate in English and Japanese fluently to support client relationship management in this region.

Preferred qualifications:

Experience orchestrating specialized technical resources to execute complex builds.
Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

As an AI Outcome Customer Engineer, Forward Deployed Engineering, you will be responsible as an enterprise architect, technical debugger, and engineering liaison. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery.

You will be overarching Enterprise Architect and Technical Delivery Manager charting the course. You will also be responsible for technical design, systemic debugging, Product and Engineering integration, and strategic Forward Deployed Engineering (FDE) alignment. You will architect how these technical marvels actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints) and drive the technical delivery strategy from start to finish.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Google welcomes people with disabilities.

In most instances, this position requires in-person interviews as part of the hiring process.

Bachelor's degree or equivalent practical experience.
7 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience leading technical delivery strategies, debugging systems, and collaborating with product/engineering organizations.
Experience with enterprise integrations (e.g., APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
Experience in system design or orchestration frameworks.
Ability to communicate in English and Japanese fluently to support client relationship management in this region.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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