Your Role
As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad. 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 addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our internal AI transformation.
This position reports to our Head of AI Transformation.
What You’ll Do
- 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.
Skills You’ll Bring
- 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-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms.
- Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.).
