AI Productivity Analyst

Dialpad • San Ramon, CA

7h • Hybrid

About The Position

Dialpad is the leading AI-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. Visit dialpad.com to learn more.

At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers.

We thrive on continuous evolution, where every employee leverages industry-leading AI to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
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 on a hybrid schedule.

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.
• 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

• Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential.
• We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.
• Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level