Manager, Technical Solutions, Cloud Applied AI – Google – Waterloo, ON

At the cutting edge of enterprise AI, Google Cloud Applied AI is looking for a Manager, Technical Solutions to lead a team of deployment specialists turning the promise of Agentic AI into production reality for some of the world’s most sophisticated enterprise customers. This is a high-visibility, senior leadership role based in Waterloo, ON — with additional location options in Kirkland, WA and New York, NY.

This isn’t a typical management role. You’ll sit at the intersection of Product, Engineering, and the Customer — architecting elegant AI solutions, mentoring a team of technical consultants, and directly influencing what gets built next. The work spans Gemini Enterprise deployments, agentic workflow design, and the kind of 0-to-1 solution engineering that defines an entirely new category of enterprise software.

About the Role: Manager, Technical Solutions

As a Technical Solutions Manager within Cloud Applied AI, you’ll oversee consultants across multiple concurrent customer deployments while personally contributing to solution architecture and hands-on debugging of complex agentic workflows. You’ll translate business friction into AI-powered solutions powered by Large Language Models (LLMs) and Google’s Gemini model suite — bridging the gap between deterministic enterprise systems like Salesforce and SAP and cutting-edge conversational AI frameworks.

Beyond direct delivery, you’ll author reusable technical assets and pioneer architectural frameworks that elevate the broader Google Cloud ecosystem. You’ll engage with C-suite stakeholders at global enterprises, manage cross-functional delivery teams, and incubate new product capabilities — all while building a team culture that operates with startup agility at Google scale.

Benefits and Salary

For Canadian-based employees in this role, the salary range is $248,000–$254,000 CAD annually, plus a 25% bonus target, equity, and a comprehensive benefits package. US-based compensation ranges from $233,000–$324,000 USD plus the same bonus and equity structure. Benefits for US employees include health, dental, vision, life, and disability insurance, a 401(k) with company match, 20 days of paid vacation, sick time, maternity and baby bonding leave (up to 28–30 weeks combined), and 13 paid holidays per year.

Responsibilities

This role demands both deep technical expertise and executive-level leadership. You’ll be hands-on in solution design while simultaneously setting direction for your team, influencing product roadmaps, and navigating complex multi-stakeholder deployments at some of Google’s largest global accounts. Here’s what the work looks like day to day:

• Lead 0-to-1 solution engineering, architecture design, and direct debugging for complex agentic workflows
• Stress-test features to influence product roadmaps and implement robust evaluation frameworks
• Pioneer architectural frameworks and author reusable technical assets for the broader Google Cloud ecosystem
• Engage C-suite stakeholders and manage cross-functional delivery teams across partner organizations
• Mentor and scale a team of technical solutions consultants across multiple concurrent customer deployments
• Incubate new product capabilities and define best practices that enable delivery at scale and velocity
• Bridge the gap between LLM capabilities and deterministic enterprise systems such as Salesforce and SAP

Requirements / Skills

Google is looking for a technical leader who combines enterprise systems depth with a genuine command of modern AI — someone who can write code, architect solutions, and then step back to coach a team to do the same at scale. Both technical rigour and people management experience are essential here.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
• 10 years of experience in customer-facing technical roles such as Solutions Architect, Forward Deployed Specialist, or Principal Consultant focused on enterprise systems
• 6 years of coding experience in one or more general purpose programming languages (C++, Java, Python, Go, or similar)
• Experience with LLMs, prompt development, and conversational AI frameworks
• People management experience in a technical environment, or demonstrated mentoring and coaching of team members
• Preferred: Master’s degree in Engineering or Computer Science, experience with Google Cloud Platform, and background in technical consulting or telecom customer deployments
• Preferred: Ability to lead cross-functional teams and influence executive stakeholders in large, complex organizations

How to Apply

To apply, use the official Google Careers link below to submit your application directly on their platform. Make sure your resume is current and reflects your technical leadership, enterprise AI, and coding experience before submitting.

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