AI Outcome Customer Engineer, GTM AI Tech, Google Cloud

Responsibilities

• 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.
• - 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:

Preferred qualifications:

Qualifications

• 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 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.