AI Productivity Analyst

DialpadKitchener, ON
Onsite

About The Position

As an AI Productivity Analyst at Dialpad, you will play a critical role in scouting, evaluating, testing, and piloting third-party AI tools to achieve significant productivity gains across the company. You will collaborate closely with the Head of AI Transformation and functional leads from various departments including Engineering, Design, Marketing, Customer Success, and FP&A to identify high-value process bottlenecks and pinpoint suitable AI solutions. Your responsibilities will also include designing structured experiments and pilot programs to demonstrate measurable business impact. This role is central to bringing cutting-edge AI technology into practical application, supporting implementation, and tracking success to drive Dialpad's internal AI transformation. Dialpad is an AI-native business communications platform, unifying calling, messaging, meetings, and contact center services, all powered by AI that understands conversations in real time. The company serves over 70,000 global businesses and is leading the shift to Agentic AI, where intelligent agents automate workflows and resolve issues. At Dialpad, AI is integrated into daily operations to empower employees, fostering a culture that values curiosity, a high bar for performance, and traits like being Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Requirements

  • Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields.
  • 1-2 years of relevant experience.
  • Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects.
  • Solid understanding of AI technologies, machine learning concepts, and their applications in business settings.
  • Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise.
  • Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders.
  • Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment.

Nice To Haves

  • experience with SaaS integrations (Zapier, APIs) or low-code automation platforms.
  • Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.).

Responsibilities

  • Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks.
  • Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows.
  • Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption.
  • Develop and present ROI models, providing actionable recommendations to senior leadership.
  • Support implementation (including light configuration, prompt engineering, and user training) of selected solutions.
  • Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target.

Benefits

  • Competitive salary
  • comprehensive benefits
  • real opportunities for growth
  • cutting-edge AI tools
  • robust training program that help you reach your full potential
  • offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
  • exceptional culture, repeatedly recognized as a Great Place to Work
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