Quality Engineering Manager – Automation & Platform

About My Operator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Role Overview

MyOperator's platform handles billions of real-time interactions - cloud call centers, IVR flows, Whats App APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence.

This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome, not a checkpoint. You will work directly with Engineering, Product, and Dev Ops to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test, this role is built around you.

Key Responsibility Areas

- Own and enforce the quality bar across MyOperator's full product suite - Cloud Call Center, IVR & Call Flows, Whats App API, AI Voicebots, and Unified Communication Platform from sprint planning through production.
- Architect and scale automation frameworks across UI (Web/Mobile), REST and Graph

QL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing.
- Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD).
- Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions.
- Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence, not just mitigation.
- Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture.
- Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes.

Requirements - Must Have

- 5-8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more.
- Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets, and Web Sockets is a must-have.
- Hands-on experience in testing and quality assurance of applications/products involving UDP (User Datagram Protocol) communication, including validation of reliability, performance, and network-level troubleshooting.
- Hands-on expertise with one or more automation frameworks:
Selenium, Cypress, Playwright, or Appium with a demonstrated ability to build or significantly scale a framework from the ground up.
- Proficiency in Python, Java, or JavaScript for writing and maintaining automation code.
- At least 2+ years of strong hands-on experience in API testing using Postman or Rest Assured, and CI/CD integration using Jenkins, Git Hub Actions, or Git Lab CI.
- Documented track record on the resume (via explicitly stated metrics) demonstrating a quantifiable reduction in defect escape rates or improvement in automation coverage.

- Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context.

Requirements - Good to Have

- Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP or IVR.
- Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines.
- Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues.
- Familiarity with contract testing (Pact) or AI/ML-specific testing - chatbots, voicebots, NLP output validation.
- Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing.

This profile is not for

- Someone whose primary mode (as inferred from past role descriptions) is purely reviewing test cases and delegating execution rather than building and owning the automation stack themselves.
- Someone who treats QA sign-off as the finish line—this role is accountable for customer experience, not just green test runs.
- Candidates lacking demonstrable, hands-on evidence of building automation frameworks in their profile; this role cannot be fulfilled by purely manual QA or strictly…