# AI Productivity Analyst

**Company**: Dialpad
**Location**: Vancouver, Canada
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Salary**: $74,500-$94,000 CAD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/dialpad/jobs/8515633002
**Canonical**: https://yubhub.co/jobs/job_04f52d30-da2

## Description

As an AI Productivity Analyst at Dialpad, you'll play a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across the organization. You'll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions. You'll also help create structured experiments and pilot programs that demonstrate measurable business impact.

In this role, you'll have the opportunity to partner with functional leads to map high-value process bottlenecks, research and shortlist external GenAI & ML products, design and run structured experiments, develop and present ROI models, support implementation of selected solutions, and track business unit KPIs and OKRs post-deployment.

To succeed in this role, you'll need a bachelor's degree in Computer Science or a comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields. You'll also need 1-2 years of relevant experience, demonstrated hands-on fluency with GenAI tools, solid understanding of AI technologies and machine learning concepts, analytical mindset, clear communication skills, and a curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment.

As a member of the Dialpad team, you'll have the opportunity to work at the center of the AI transformation in business communications, build and ship agentic AI products that are redefining how companies operate, join a team where AI amplifies every employee's impact, and enjoy competitive salary, comprehensive benefits, and real opportunities for growth.

## Skills

### Required
- GenAI tools
- Machine learning concepts
- Business analytics
- Data science
- Python
- SQL
- Data-viz dashboards

### Nice to have
- SaaS integrations
- Low-code automation platforms