Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
Our client is a fast-scaling voice AI company reimagining the call center from first principles. Their platform turns any LLM into a human-like voice agent, and thousands of companies now use it 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, this is a company with real revenue, real enterprise customers, and real momentum — scaling from roughly $5M in ARR at the start of 2025 to an estimated $60M–$80M ARR in 2026, while staying profitable.
They believe the next generation of great customer experience won't be run by human call centers with basic automation bolted on — it'll be run by AI. Their mission is to build a modern CX platform where intelligent AI "workers" act as frontline agents, QA analysts, and even managers, continuously executing, monitoring, and improving every customer interaction.
This is a forward-deployed engineering role where you're never far from either a codebase or a client on a call. You'll embed directly with enterprise teams — bridging technical and non-technical stakeholders — to take voice AI solutions from first prototype to full production. You'll own the technical win end-to-end: scoping the build, shipping the integration, and shaping how the product evolves based on what you learn in the field. The company is hiring three engineers into this role.
You're the rare person equally comfortable debugging an LLM prompting issue in the morning and presenting a system design to an enterprise client's VP by afternoon. You bring founder-level ownership and genuine comfort operating in ambiguity — this role rewards people who've shipped things themselves, not just advised on them. Strong candidates are highly collaborative, speak up readily to suggest improvements, and have a career track record free of frequent short-tenure moves.
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