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Retell AI
Redwood City, California, United States
Source: Retell AI careers · View original posting
From Retell AI's posting. “We” and “our” refer to the employer.
Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B.
Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI "workers" that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction.
We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world.
Let's build the future together.
We've landed the logos. This role exists because keeping and growing them is now the biggest opportunity. You'll own a book of enterprise accounts from launch onward, the relationship, the consumption number, the renewal, and the expansion. We price on usage, growth here isn't a repapering exercise: you grow the account by getting more of the customer's call volume onto Retell, which means you'll be in the data, in the QBRs, and in the room when they decide what to automate next.
KEY RESPONSIBILITY
This hire owns net revenue retention across a book of enterprise accounts.
Own the post-launch relationship with enterprise buyers and program owners, from first production call through renewal.
Grow consumption across the book: pilot to production, one use case to many, one department to the org.
Own the renewal: forecast, negotiate, and close it, and find the upsell inside it.
Turn usage data into the business case customers use internally to expand.
Bring the blockers you find back to Product and Engineering with revenue attached.
Compensation
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