Manager, Technical Solutions, Cloud Applied AI

This posting is for a new vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Kirkland, WA, USA; New York, NY, USA . Minimum qualifications Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 10 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems. 6 years of experience writing code in one or more general purpose programming languages (e.g., C++, Java, Python, Go, etc). Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks. Experience with people management in a technical environment, or experience with mentoring and coaching team members. Preferred qualifications Master's degree in Engineering, Computer Science, or a related technical fields. Experience building and scaling complex production systems and working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture. Experience with technical consulting and telecom customer deployments or related industries, including navigating governance, security, and procurement processes. Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP). Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations. Excellent leadership skills, with an ability to motivate large teams in a changing environment. About the job Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. In this role, you will oversee technical solutions consultants across multiple customer deployments, and are a high-visibility multiplier responsible for turning the promise of Agentic AI into production reality for Google's most global customers. You will sit at the nexus of Product, Developing, and the Customer, translating complex business friction into elegant, reasoning-based AI solutions. You will contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity. You will be a builder, a systems thinker, and a master of navigating complex technical and business issues and will guide, mentor and scale your team for direct customer impact. You will be working with a group of deployment specialists while simultaneously incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $233000 - $325000 (USD) + 25% bonus target + equity + benefits Canada: $248000 - $255000 (CAD) + 25% bonus target + equity + benefits Learn more about benefits at Google . Responsibilities Lead and scale a high-performing developing team to deliver 0-to-1 agentic solutions, maintaining an approach to debugging, prompt developing, and framework standardization. Drive direct customer engagements and resolve high-stakes escalations, providing authoritative architectural guidance to client developing teams and C-suite executives. Pioneer advanced agent architectures (such as Agent-MVC) and safely integrate non-deterministic LLM outputs with deterministic enterprise systems like SAP and Salesforce. Stress-test pre-GA features in real-world environments, synthesizing field intelligence to directly influence Google Cloud Product and Developing roadmaps. Establish evaluation pipelines (utilizing Gold Datasets and Judge frameworks) to benchmark agent performance while managing third-party vendor and delivery partners. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . #J-18808-Ljbffr Google