About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
As a Revenue Intelligence Analyst, you will turn Dialpad’s revenue data into actionable insights, scalable reporting, AI-enabled automation, and decision support for the go-to-market organization.
This role sits on the Planning and Governance team and blends data analysis, reporting, understanding of business systems, AI agent automation, and strong business partnership. You will build and maintain dashboards, define and enhance datasets in BigQuery, automate recurring reporting, identify opportunities to deploy AI agents and workflow automation, and translate business questions into clear reporting and analytical solutions. You will also serve as a key liaison between business stakeholders and data or systems teams, ensuring that reporting outputs and automation solutions align with business needs.
Your work will help leaders understand pipeline performance, forecast trends, operational health, and broader business performance with greater clarity, speed, and confidence.
This position reports to the Director, Revenue Ops Planning & Governance, and has the opportunity to be based in our Austin or Tempe offices.
What you’ll do
- Own executive reporting across the revenue (pre and post-sales) organization.
- Deliver high-quality monthly, quarterly, and ad hoc reporting for senior leadership.
- Synthesize complex data into clear business narratives and recommendations.
- Create holistic reporting views that connect performance across teams, segments, and motions.
- Ensure leaders have timely, accurate, and decision-ready insights.
- Act as a liaison between business stakeholders and data, systems, and business operations teams.
- Gather business requirements and translate them into reporting, dashboard, and dataset needs.
- Define new datasets and enhance existing datasets in BigQuery to support evolving business questions.
- Partner with technical teams to improve data availability, usability, and reporting readiness.
- Help ensure reporting solutions align with business processes and system design.
- Design and build executive-ready dashboards in Tableau.
- Standardize reporting frameworks across revenue segments.
- Develop intuitive visualizations for pipeline, forecast, productivity, retention, and expansion.
- Translate business questions into scalable dashboard solutions.
- Create reusable Tableau data sources and reporting assets.
- Analyze revenue performance trends and deliver actionable insights to business stakeholders.
- Build automated reporting that reduces manual spreadsheet work and improves reporting speed and consistency.
- Support ad hoc, cross-functional analysis across pipeline, bookings, forecast, productivity, and customer metrics.
- Identify reporting gaps and recommend new metrics, views, or process improvements.
- Partner on root-cause analysis to explain performance changes and business trends.
- Design and deploy AI agents and workflow automations that streamline recurring reporting, data QA, and stakeholder request intake across RevOps workflows.
- Evaluate high-impact opportunities to apply AI across reporting and analysis processes, partnering with systems and data teams to operationalize solutions and measure adoption, accuracy, and efficiency gains.
- Analyze sales processes for inefficiencies and implement AI agents to standardize and automate workflows.
Skills you’ll bring
- 2+ years of experience in analytics, business intelligence, revenue operations, or business systems analysis.
- Experience building AI agents using Claude, Glean, ChatGPT, Gemini for process standardization, simplification, and automation.
- Experience building dashboards and reports in Tableau.
- Working knowledge of Salesforce data and reporting concepts.
- Experience supporting Sales, RevOps, or SaaS go-to-market teams.
- Strong analytical thinking and comfort working with large datasets.
- Experience gathering business requirements and translating them into reporting solutions.
- Strong communication skills across technical and non-technical audiences.
- Ability to simplify complex data into clear, executive-ready insights.
- High attention to detail and strong ownership mindset.
- Bias toward automation and scalable reporting solutions.
- Preferred Qualifications
- Bachelor’s degree in Business, Finance, Economics, Data Analytics, Information Systems, or a related field.
- Experience in a multi-segment SaaS environment.
- Exposure to pipeline and forecast analytics.
- Experience supporting post-sales functions such as Customer Success, Professional Services, Solutions Engineering, and Customer Experience.
- Experience supporting executive-level reporting and ad hoc business analysis.
- Familiarity with SaaS revenue metrics such as pipeline coverage, conversion rates, forecast variance, GRR, and NRR.
- Experience working with BigQuery or similar cloud data warehouses.
- Proactive, structured problem solver.
Why Join Dialpad
- 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
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help 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, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Skills Required
- 2+ years of experience in analytics, business intelligence, revenue operations, or business systems analysis.
- Experience building AI agents using Claude, Glean, ChatGPT, or Gemini for process standardization and automation.
- Experience building dashboards and reports in Tableau.
- Working knowledge of Salesforce data and reporting concepts.
- Experience supporting Sales, RevOps, or SaaS go-to-market teams.
- Strong analytical thinking and comfort working with large datasets.
- Experience gathering business requirements and translating them into reporting solutions.
- Strong communication skills across technical and non-technical audiences.
- Ability to simplify complex data into clear, executive-ready insights.
- High attention to detail and strong ownership mindset.
- Bias toward automation and scalable reporting solutions.
- Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, or related field.
- Experience in a multi-segment SaaS environment.
- Exposure to pipeline and forecast analytics.
- Experience supporting post-sales functions (Customer Success, Professional Services, Solutions Engineering).
- Experience supporting executive-level reporting and ad hoc business analysis.
- Familiarity with SaaS revenue metrics (pipeline coverage, conversion rates, forecast variance, GRR, NRR).
- Experience working with BigQuery or similar cloud data warehouses.
- Proactive, structured problem solver.
Dialpad Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dialpad and has not been reviewed or approved by Dialpad.
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Fair & Transparent Compensation — Compensation is viewed as competitive across many roles, combining salary, bonuses, equity, and benefits into a well-rounded package. Overall satisfaction with pay and total compensation is characterized as positive.
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Leave & Time Off Breadth — Paid time off is described as generous, with an unlimited PTO policy highlighted as a standout element. This breadth of time off is positioned as a central strength of the benefits package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, vision, disability, life insurance, and mental health benefits. Such coverage depth is presented as a core strength of the overall package.
Dialpad Insights
What We Do
Dialpad is a cloud-based business phone system that turns conversations into opportunities and helps global teams make smarter calls--anywhere, anytime. We bring simplicity to the professional phone experience and some of the world’s most innovative companies use our platform. Dialpad's products span video meetings, cloud call centers, sales coaching and dialers and enterprise phone systems--and are all infused with the latest AI technologies to help every business make smarter calls. Customers include WeWork, Uber, Motorola Solutions, Domo and Xero. Investors include Amasia, Andreessen Horowitz, Felicis Ventures, GV, ICONIQ Capital, Salesforce Ventures, Scale Venture Partners, Section 32, Softbank and Work-Bench.
