Google

Manager, Technical Solutions, Cloud Applied AI

Google$248K — $254K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant technical field or equivalent experience.
  • 10 years in customer-facing technical roles, particularly with enterprise systems.
  • 6 years of coding experience in languages like C, Java, Python, or Go.
  • Familiarity with Large Language Models and conversational AI frameworks.
  • Experience in people management or mentorship in technical settings.

Responsibilities

  • Lead solution engineering and architecture for complex AI workflows.
  • Assess features to shape product roadmaps and establish evaluation metrics.
  • Develop architectural frameworks and create reusable technical assets.
  • Collaborate with executive stakeholders and guide cross-functional teams.
  • Oversee the end-to-end delivery process for agentic solutions.

Benefits

  • Comprehensive health, dental, vision, life, and disability insurance.
  • 401(k) retirement plan with company matching.
  • 20 days of paid vacation per year, plus 40 hours of sick time annually.
  • Generous maternity and baby bonding leaves of up to 30 weeks.
  • 13 paid holidays per year.
Full Job Description
info_outline
X This posting is for a new vacancy.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • 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.

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

US: $233000 - $324000 (USD) 25% bonus target equity benefits
Canada: $248000 - $254000 (CAD) 25% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Lead 0-to-1 solution engineering, architecture design, and direct debugging for complex agentic workflows.
  • Stress-test features to influence product roadmaps and implement evaluation frameworks.
  • Pioneer architectural frameworks and author reusable technical assets.
  • Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.


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.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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