Member of Technical Staff, QA

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.