GTM Engineer
Company | Landbase |
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Location | Toronto, ON, Canada |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Mid Level |
Requirements
- 2-4 years of experience in roles such as GTM Engineer, Pre-Sales Engineer, or Technical Account Manager
- Demonstrated expertise with AI platforms and involvement in AI projects within the last 2 years
- Strong technical understanding of AI/ML concepts and applications in business settings
- Experience building customer-facing solutions and automating processes
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences
- Problem-solving mindset with attention to detail and commitment to customer success
Responsibilities
- Demonstrate exceptional platform expertise to clients, showcasing our AI capabilities and driving customer satisfaction
- Automate customer onboarding processes from close to live on Day 1, creating seamless transitions from CRM to product
- Collaborate with the AI Labs Team to experiment with, document, and embed increasingly advanced functionality into the product
- Serve as the primary technical contact point for Landbase clients and the go-to platform expert for Sales and Account Management teams
- Support the rollout of the latest Landbase platform AI features and act as an interface between clients and product teams
- Adapt platform functionality behind the scenes to refine campaigns and enable multiple launches per week for clients
- Prepare and run tailored Feed/AI demos for marketing teams and customers, creating effective prompts for campaign custom instructions
- Transform manual customer requests into automated platform solutions to reduce repetitive tasks
- Become the internal technical voice of the customer by collecting product feedback and supporting critical roadmap decisions
- Work with raw platform data to help customers run more detailed analysis and optimize their results
- Reduce the need for product team attendance on customer calls by providing expert technical guidance
Preferred Qualifications
- Data science or machine learning background is a plus
- Entrepreneurial experience or history of building applications is highly preferred