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About the Role
As an AI Outcome Customer Engineer in Forward Deployed Engineering, you will bridge the gap between pre-sales agreement shaping and post-sales execution. You will steer AI deployments, ensuring solutions are built for long-term viability, rapid activation, and enterprise-grade reliability.
Responsibilities
- Partner with account teams and practice Customer Engineers (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.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 7 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience in either system design or reading code (e.g., Java, C++, Python).
Skills
- Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity)
- Cloud infrastructure
- AI/ML model deployments
- Ability to do in-depth search into novel technical problems
- Ability to decipher extreme ambiguity
- Ability to diagnose bugs
- Ability to emerge with credible architectural solutions
- Excellent executive communication skills
- Capable of translating deep technical integration issues into business impact
Location
- US
Work Type
- Full-time
Experience Level
- 7 years of experience troubleshooting technical issues for internal/external partners or customers.
Education Level
- Bachelor’s degree or equivalent practical experience.
Salary/Compensations
- $183000 - $265000 (USD) + 20% bonus target + equity
Benefits
- Benefits at Google
About the Company
- It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide.
- You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale.
- We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems.
- We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges.
- Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.