Bachelor's degree or equivalent practical experience.
7 years of experience with cloud native architecture in a customer-facing or support role.
Experience with technical delivery strategies and interfacing with product or development organizations.
Experience in system design or reading code (e.g., Java, C, Python).
Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, or AI/ML model deployments.
Responsibilities
Partner with account teams and Customer Developers during technical evaluation phases to assess project feasibility and shape proposals.
Lead upfront technical design for enterprise-grade AI solutions, ensuring secure integration into existing customer systems.
Diagnose and resolve complex customer implementation issues by diving into code-level context.
Serve as the liaison to core Product and development teams, troubleshooting deployment blockers and translating feedback into feature requests.
Steer implementation strategy through technical authority while owning the delivery reality alongside customer-facing teams.
Benefits
20% bonus target
Equity benefits
Comprehensive health and wellness programs
Professional development opportunities
Flexible work arrangements
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
This posting is for a new vacancy.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
7 years of experience with cloud native architecture in a customer-facing or support role.
Experience with technical delivery strategies and interfacing with product or development organizations.
Experience in either system design or reading code (e.g., Java, C , Python).
Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
Preferred qualifications:
Experience into novel technical issues, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
Experience orchestrating specialized technical resources to execute complex builds.
Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
About the job As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. You will enter the agreement cycle during the technical evaluation phase for strategic AI accounts, ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. As you are aligned with our Forward Deployed Development (FDD) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).
Partner with account teams and practice Customer Developers (CDs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDD 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 developing 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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
