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 and has the opportunity to be based in our San Ramon, CA, office.
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.
- 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.).
