Revenue Operations Associate

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.

In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.

Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.

Role Overview

We are looking for a highly analytical Revenue Operations Associate to sit at the intersection of GTM strategy and AI implementation. This isn't a traditional "data entry" RevOps role; you will be the primary owner of our customer-facing AI agents and the data ecosystems that power them. You will initially manage our existing third-party AI automation stack while playing a critical role in the development and migration to our proprietary internal AI tools. Your goal is to ensure that every automated interaction is as effective - or more effective - than a human one.

Responsibilities

• AI Product Ownership: Manage and optimize current third-party AI automation platforms. Lead the eventual transition and implementation of internal proprietary tools.

• Interaction Analysis & Optimization: Conduct deep-dive audits of unsuccessful customer-AI interactions. Use these insights to re-engineer prompts, update logic, and improve the user experience.

• Prompt Engineering: Write and refine complex prompts to execute company initiatives across Sales, Marketing, and Customer Success.

• Governance & SOPs: Establish "Rules of Engagement" and Standard Operating Procedures (SOPs) for how agentic AI interacts with our customers and internal databases.

• Data & Analytics: Maintain CRM hygiene (Salesforce/HubSpot) and build dashboards to track KPIs like pipeline velocity, attribution, and AI resolution rates.

• Cross-Functional Alignment: Work closely with engineering and product teams to provide feedback on internal tool requirements based on operational gaps.

Requirements

• Experience: 1–3 years in RevOps, SalesOps, or Business Analytics within a fast-paced tech environment.

• AI & Automation Logic: Strong understanding of LLMs and how to guide AI behavior through structured prompting and conditional logic.

• Critical Thinking: The ability to "debug" a customer experience. You should be able to identify why an automation failed and propose a structural fix.

• Technical Stack: High proficiency in CRM management (HubSpot/Salesforce) and Excel/Google Sheets.

• Adaptability: Comfortable managing a tech stack that is actively evolving from external vendors to internal solutions.

Data & Analytics: Basic knowledge of SQL and BI Tools for data manipulation.

Nice to Have

• Experience with automation middleware (Zapier, Workato, or Tray.io).

• Experience in a SaaS startup where you had to "wear many hats."

Metrics for Success

• Automation Efficacy: Increasing the percentage of successful customer interactions handled by AI.

• Migration Success: Seamlessly transitioning workflows from external vendors to internal tools without downtime.

• System Integrity: Ensuring 100% data accuracy between AI platforms and our CRM.

• Actionable Insights: Providing the leadership team with clarity on where the sales funnel is leaking and how to plug it.