Customer Engineer I, Cloud AI, Startups – Google – Toronto, ON

Google Cloud is on the lookout for a talented Customer Engineer I, Cloud AI to join their growing team. With locations available across Canada and the United States — including Toronto, ON — this is a rare opportunity to work at the intersection of artificial intelligence, cloud computing, and real-world business transformation. If you thrive on solving complex technical challenges and love working directly with innovative startups, this role was built for you.

As a Practice Customer Engineer specializing in Cloud AI, you’ll partner with technical sales teams to showcase the power of Google Cloud. From developing prototypes and proofs-of-concept to guiding customers through their AI adoption journey, this role blends deep technical expertise with business acumen and client engagement — giving you the chance to make a tangible impact at scale.

About the Role: Customer Engineer I, Cloud AI

In this position, you’ll serve as a trusted technical advisor to startup customers, helping them unlock the full potential of Google Cloud’s AI and machine learning capabilities. You’ll take ownership of the technical sales cycle — from evaluation through customer ramp — crafting tailored solutions that resonate with both technical teams and executive stakeholders. Your ability to demo, prototype, and workshop solutions will be central to winning customer confidence and accelerating adoption.

Beyond individual customer engagements, you’ll play a meaningful role in shaping the product itself. By feeding insights from customer interactions back to product and engineering teams, you’ll help prioritize features and drive improvements that benefit the entire Google Cloud ecosystem. Collaboration, communication, and technical excellence are equally valued in this role.

Benefits and Salary

For Canadian applicants, the base salary range for this full-time position is CAD $128,000–$131,000, plus bonus, equity, and benefits. For US applicants, the base salary range is USD $102,000–$146,000, plus bonus, equity, and benefits. Google also offers a comprehensive benefits package including health, dental, vision, life, and disability insurance, a 401(k) with company match (for US employees), generous paid time off, maternity and baby bonding leave, and 13 paid holidays per year. Salary ranges are determined by role, level, and location.

Responsibilities

Day-to-day, this role puts you at the heart of Google Cloud’s go-to-market strategy for AI workloads. You’ll be the technical bridge between the customer’s vision and Google’s powerful cloud capabilities — building trust, delivering solutions, and championing customer needs internally. Here’s what the work looks like in practice:

• Drive technical wins for Cloud AI workloads, supporting the business cycle from technical evaluation through customer onboarding and ramp-up
• Develop prototypes and proofs-of-concept by combining business strategy, development expertise, and hands-on technical work to deliver customer-tailored solutions
• Provide technical consultation to customers, acting as a trusted advisor and building long-term relationships with both technical and executive stakeholders
• Contribute to go-to-market assets by leveraging insights and learnings from customer engagements to strengthen solutions for the broader team
• Document and prioritize customer feature requests and issues within product and engineering management systems to drive timely resolution
• Liaise with product marketing and engineering teams to stay current on industry trends and help shape enhancements to Google Cloud products

Requirements / Skills

Google is looking for a technically strong, customer-focused professional who can bridge the gap between complex AI and machine learning technology and real business outcomes. The ideal candidate is comfortable presenting to executive audiences as easily as they are diving into code — and brings genuine enthusiasm for the startup ecosystem.

• Bachelor’s degree or equivalent practical experience in a relevant field
• 4+ years of experience with cloud-native architecture in an industry, customer-facing, or technical support role
• AI agent orchestration experience with frameworks such as LangGraph, CrewAI, or AutoGen, including agentic design patterns (tool-use, multi-agent collaboration) and advanced API prompting and RAG
• Machine learning model development and deployment experience, with the ability to design and ship real-world ML solutions
• Technical communication skills — experience engaging with and presenting to technical stakeholders and executive leaders
• Programming proficiency sufficient to demo, prototype, or run technical workshops with customers
• Preferred: Master’s degree in Computer Science, Engineering, or Mathematics; experience with PyTorch, TensorFlow, JAX, or Ray; familiarity with AI accelerators (TPUs, GPUs); and prior experience working with startups

How to Apply

Ready to help the world’s most innovative startups harness the power of Google Cloud AI? Submit your application directly through Google’s official careers portal. Be sure to indicate your preferred work location when prompted — Toronto and several other cities are available. Applications for US-based locations will remain open until at least March 10, 2026.

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