Member of Technical Staff, QA Engineer at Vapi in San Francisco, CA

VAPI (/ˈVⱭːPI/): We're creating the shift to voice as humanity's default interface. - We're the most configurable platform for deploying voice agents. - 1M+ developers build on Vapi, and we power 1M+ calls a day for companies like Amazon, Intuit, and New York Life. - We just announced our Series B and are based in San Francisco. - Try talking to Vapi now! https://vapi.ai/ WHY WE’RE HIRING THIS ROLE: - Vapi is the platform enterprises use to build production voice agents, and our product surface is expanding fast to support the next billion calls. - We're hiring our first dedicated QA Engineer on the product team to own end-to-end quality across that surface. - This is a real ownership role: you'll work on the cutting edge of AI, define how we test a non-deterministic product, partner directly with engineers on a small team, and have outsized impact on what our customers experience every day. WHAT YOU’LL DO: - First 30 Days: - Build and deploy real assistants on Vapi, run live calls and simulations across our main provider integrations (LLMs, STT, TTS, telephony), and break the product in at least a few interesting ways. - Get up and running in our existing e2e test framework and ship your first Playwright tests against the dashboard. - File bugs that engineers fix, and develop a working point of view on where our coverage is weakest. - By 60 Days: - Own release testing for at least one major product area (assistant builder, simulations, monitoring, knowledge base, or versioning), and earn engineers' trust to gate it. - Meaningfully improve automated coverage in your area. - Partner with engineers on test strategy for new features before they ship. - Use AI coding agents to multiply your throughput on test scenarios and regression coverage. - By 90 Days: - Operate as a full peer to engineers on the team, owning QA across the product surface without handholding. - Extend our testing practices and contribute patterns the rest of the team picks up. - Be involved in new features from the start, with the automation suite meaningfully larger on your watch. WHO YOU ARE: Must-Haves - 5+ years in QA, SDET, Test Engineering, or product engineering with a strong testing focus. - Hands-on with at least one modern e2e framework — Playwright preferred; Cypress, Selenium, or equivalent are fine. - Comfortable reading and writing TypeScript / JavaScript well enough to extend our test suite and file bugs with a hypothesis attached. - Track record testing complex, distributed systems with real failure modes — APIs, integrations, real-time behavior, anything where "correct" isn't a fixed string. - Daily use of AI coding agents (Claude Code, Cursor, or similar) with opinions about where they help and where they don't. - Self-directed: you read the PR, open the product, and start finding what's broken without waiting for a spec. - Strong written communication, especially in bug reports and test plans. - Customer empathy and a bias for action: you ship, you own outcomes, and you care what users actually experience. Nice-to-Haves - Background in voice AI, conversational AI, LLM applications, or telephony. - Experience with LLM evals or testing non-deterministic systems. - Worked on a developer-facing product — APIs, SDKs, dashboards — where the audience is technical. - Early-stage startup experience; comfortable with ambiguity and shifting priorities. - Open-source contributions or public writing on testing, evals, or QA practice. WHY VAPI: - Generational impact: Build the human interface for every business. - Ownership culture: 70% of the company are previous founders. - Kind team: The founders, Jordan and Nikhil, are Canadians. - Tier-1 Investors: YC, KP seed, Bessemer Series A. WHAT WE OFFER: - Real stake: Competitive salary and excellent equity ownership. - Comprehensive health coverage: medical, dental, and vision plans. - Team love: We love hanging out, and we do quarterly off-sites. - Flexible time off: take what you need. - More: catered meals, transportation, gym, and a $10k annual L&D budget.