AI Outcome Customer Engineer, GTM AI Tech, Google Cloud
Google · Posted Nov 4
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Google Cloud team helps companies, schools, and government make the switch to Google products, delivering enterprise-grade cloud and developer solutions used by customers in more than 200 countries. This role sits in Forward Deployed Engineering for GTM AI Tech, working between pre-sales technical evaluation and post-sales delivery for strategic accounts. The AI Outcome Customer Engineer acts as enterprise architect, technical debugger, and engineering liaison, designing AI integration (models, agents, connectors, identity, data residency) and driving technical delivery strategy end to end.
What you will do
- As an AI Outcome Customer Engineer, Forward Deployed Engineering (FDE), 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 the 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 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.
- 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.
Skills used in this role
What the employer is looking for
- 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 interfacing with product/engineering organizations.
- Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript, etc.).
- 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.
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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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