Google

Technical Deployment Lead, Google Cloud

Austin, TX, USA

Sponsorship not specified$183k-$266kDetected 7 hours ago

Vector DatabasesGCPPlatform EngineeringData AnalysisLLMsRAGProduct ManagementLeadership

About the role

- Bachelor's degree or equivalent practical experience.
- 7 years of experience in product management, systems or solution architecture, software/platform engineering, or technical leadership in customer-facing roles.

Lead high-pressure alignment sessions with customer executives to navigate technical trade-offs, cost vectors, scope, and project risks.
Extract field learnings to build repeatable templates and playbooks, translating on-the-ground insights into actionable feature requests for engineering teams.

Bachelor's degree or equivalent practical experience.
7 years of experience in product management, systems or solution architecture, software/platform engineering, or technical leadership in customer-facing roles.
Experience designing end-to-end AI systems (e.g., RAG, vector databases, and API integrations) and defining AI product/workflow specifications.
Experience leading cross-functional teams, driving technical deployments, and managing stakeholders.

Experience in Process Reimagination, assessing legacy workflows, and designing automated, AI-driven alternatives that enhance operational velocity.
Experience deploying agents and RAG solutions using vector search, A2A, and MCP for multi-agent collaboration.
In this role, you will possess an outcome-focused mindset and strong technical depth.
Google Cloud accelerates every organization's ability to digitally transform its business and industry.
Translate business objectives into technical delivery plans, orchestrating day-to-day execution for forward-deployment and implementation teams.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Define the AI deployment goal with strategic customers, qualify opportunities, and drive the end-to-end lifecycle to deliver key business outcomes.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.