Customer Engineer II, Business Intelligence – Google – Toronto, ON

Google Cloud is looking for a Customer Engineer II specializing in Business Intelligence to join their North America team. While this role can be based across several U.S. cities, Toronto, ON is one of the available locations — making this a compelling opportunity for Canadian tech professionals ready to work at the intersection of sales, cloud technology, and data analytics.

This isn’t a traditional technical support role. As a Practice Customer Engineer with a Looker BI specialty, you’ll be embedded alongside Sales teams, acting as the technical expert who helps close deals, design architectures, and demonstrate real-world value of Google Cloud’s most strategic products. If you thrive on translating complex data problems into elegant, scalable solutions — and enjoy presenting those solutions to everyone from developers to C-suite executives — this role is built for you.

About the Role: Customer Engineer II, Business Intelligence

At the core of this position is a blend of deep business intelligence expertise and client-facing sales support. You’ll partner with technical sales teams to accelerate the adoption of complex, specialized workloads on Google Cloud. Day-to-day, this means developing architectures, prototypes, proofs-of-concept, and live demonstrations tailored to each customer’s specific business challenges. Your work will directly influence how customers adopt and expand their use of Looker and the broader Google Cloud portfolio.

You’ll also play a key role in shaping the product roadmap itself — acting as a critical feedback loop between customers and Google Cloud’s product development teams. Strong communication, organizational, and presentation skills are essential, as you’ll regularly engage with both technical stakeholders and executive leadership at client organizations across North America.

Benefits and Salary

For candidates based in Canada, the compensation range for this role is $162,000 – $166,000 CAD, plus a 42.86% bonus target, equity, and a comprehensive benefits package. Google is well known for its industry-leading perks — you can learn more about the full benefits offering on Google’s official careers page. U.S.-based candidates can expect a range of $127,000 – $184,000 USD with the same bonus structure and equity eligibility.

Responsibilities

In this role, you’ll operate at the intersection of technical consulting and enterprise sales, working closely with Google Cloud’s sales teams to help customers understand and adopt Looker and business intelligence solutions. Your responsibilities span everything from hands-on demos and proof-of-concepts to managing RFP responses and leading customer workshops — all while serving as the go-to subject matter expert on BI within the team.

• Serve as the Looker SME alongside sales teams, recommending scalable and trusted data experiences that differentiate Google Cloud and drive customer innovation.
• Design and deliver tailored presentations, demonstrations, and technical prototypes that articulate specific use cases and business value to customers.
• Lead technical proof-of-concepts and manage RFP responses, ensuring deep prospect engagement through the effective application of complex technical knowledge.
• Promote Looker’s value through workshops and demonstrations, communicating architectural concepts to audiences ranging from developers to IT leadership.
• Drive product adoption through multiple channels, including on-site customer visits, industry conferences, and hands-on workshops — with readiness to travel as required.
• Provide a critical feedback loop to influence Google Cloud product development based on real customer challenges and requirements.

Requirements / Skills

Google is looking for a candidate who brings deep business intelligence expertise combined with the ability to engage effectively at both the technical and executive levels. The ideal applicant has a track record of delivering value in customer-facing technical roles and is comfortable working in a fast-paced, cross-functional environment alongside sales and product teams.

• Bachelor’s degree in a technical field or equivalent practical experience is required; a Master’s in Computer Science, Engineering, or Mathematics is preferred.
• 6+ years of experience with business intelligence solutions in a professional setting.
• Data analysis and modeling proficiency — hands-on experience with SQL and data modeling is essential; Python experience is an asset.
• Customer-facing technical experience — prior work delivering demos, prototypes, or workshops to client audiences is required.
• Looker or equivalent BI platform experience is a strong asset, along with expertise in advanced data modeling and analytics.
• Experience with LLMs, agentic workflows, and multi-agent architectures is considered a preferred qualification.
• Leadership and communication skills — public speaking, blog writing, and sales field enablement experience are valued assets.

How to Apply

To apply, visit the official Google Careers posting using the link below. Make sure your resume is up to date and tailored to highlight your business intelligence and customer-facing technical experience before submitting.

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