Complete QA platform for voice agents. Backed by Y Combinator and AI Grant.
About the role
Own product features end-to-end : spec → prototype → ship → iterate, across frontend and backend. Work closely with customers: onboard new accounts, run weekly check-ins, and act as a high-agency partner to drive adoption and outcomes.
What they're looking for
- Turn messy, high-dimensional data (calls, transcripts, tool events, traces, eval outputs) into product experiences that are obvious and actionable
More about this role
Hamming automates QA for voice AI agents. Everyone is building voice agents. We secure them. In fact, we invented this category. With one click, thousands of our agents call our customers’ agents across accents, background noise, and personalities—then we generate crisp bug reports and production-grade analytics. Reliability is the moat in voice AI, and that’s our whole job.
We are one of the fastest engineering teams in the world. We prod deploy 4x / day.
I’m looking for someone who can own reliability and scale across our LLM-enabled platform, shipping precise, outcome-driven improvements to high-availability systems.
— Sumanyu (CEO)
Previously: grew Citizen 4× and scaled an AI sales program to $100Ms/yr at Tesla.
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Own product features end-to-end : spec → prototype → ship → iterate, across frontend and backend.
Work closely with customers: onboard new accounts, run weekly check-ins, and act as a high-agency partner to drive adoption and outcomes.
Build core customer workflows for voice-agent QA: test creation, scenario management, evaluation results, analytics, debugging, and triage.
- Turn messy,...
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