Senior Manager Quality Engineering

Recrew AI; Kolkata District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Ownership of quality mandate

Cross-functional influence

Autonomy & flexible scheduling

Healthcare vertical impact

Career growth support

Job summary

Recrew AI in India is seeking a Senior Manager, Quality Engineering to lead a team of 6–10 QA engineers and drive modernization of quality across products. You will personally write automation code in Playwright and TypeScript, shape testing architecture, and tackle complex production issues.

You will own CI/CD integration, implement AI-assisted testing workflows, and foster shared quality ownership with Engineering, Product, and DevOps, while hiring and mentoring engineers to raise the

Qualifications

• 8+ years in software quality, test automation, or quality engineering with people leadership.
• 4+ years hands-on automation experience writing and maintaining production automation code.
• Experience integrating automated test suites into CI/CD pipelines and improving reliability.
• Practical use of AI coding assistants or agents in engineering workflows.
• Strong production-debugging skills using logs, SQL, and observability tools.

Responsibilities

• Establish a modern quality-engineering operating model with shared ownership across teams.
• Own architecture and evolution of web, API, and end-to-end automation; write and review automation code in Playwright/TypeScript.
• Integrate high-signal test suites into CI/CD pipelines; reduce flaky tests and improve speed and diagnosability.
• Define testing strategies for AI assistants and automated conversations; build repeatable evaluations.
• Lead and develop a team of 6–10 quality engineers, driving career growth and higher technical standards.

Skills

Quality leadership

Automation testing

CI/CD integration

AI-assisted testing

Production debugging

Tools

Playwright

TypeScript

CI/CD tooling

Job description

Role: Senior Manager, Quality Engineering

Function: Quality Engineering / Software Testing

Location: Gurugram or Kolkata

Type: Full-time

Industry: AI, Medical SaaS, Dental Technology

About Company

The company builds AI-powered SaaS for the U.S. dental market.

Its platform unifies analytics, communications, scheduling, payments, and marketing automation. Thousands of solo practices, group practices, and DSOs rely on it daily.

It is a profitable SaaS business approaching eight figures in revenue. The company is mission-driven and execution-oriented — quality is designed in, not inspected in at the end.

If you want to build in a large, under-digitized healthcare vertical and see clear, measurable impact, this is the place.

Position Overview

This role leads a team of 6–10 Quality Engineers and owns the modernization of how quality is built into the company's products. The mandate is to increase release confidence faster than QA headcount grows — through automation engineering, AI-assisted workflows, production observability, and shared quality ownership across Engineering, Product, and DevOps. This is a hands-on technical leadership position: the person in this role personally writes and reviews automation code, designs testing architecture, and investigates difficult production issues.

Role & Responsibilities

• Establish a modern quality-engineering operating model based on shared ownership across Engineering, Product, DevOps, and Quality Engineering; define risk-based testing strategies for critical customer workflows, integrations, and platforms.
• Own the architecture and evolution of web, API, integration, and end-to-end automation — personally build and maintain production-quality code in Playwright and TypeScript, including reusable libraries, fixtures, test-data systems, and parallel execution infrastructure.
• Integrate high-signal suites into CI/CD pipelines (Jenkins, GitLab CI, or equivalent); treat flaky and noisy tests as engineering defects and continuously improve execution speed, stability, and diagnosability.
• Define testing and evaluation strategies for AI assistants, call intelligence, and automated conversation workflows — build repeatable evaluations covering accuracy, hallucination risk, context retention, fallback logic, unsafe output, privacy, and latency.
• Use AI coding assistants and agents in daily engineering workflows across test design, automation development, code review, debugging, and incident analysis; establish practical AI-assisted workflows for the team and measure their impact on development time, maintenance effort, and release-validation speed.
• Lead, coach, and develop a team of 6–10 Quality Engineers through clear goals, direct feedback, performance reviews, hiring, and career growth — raising the technical bar while scaling quality through better systems rather than linear headcount.

Must Have Criteria

• 8+ years in software quality, test automation, or quality engineering, including 3+ years of people leadership managing and developing engineers.
• 4+ years of hands-on automation experience; personally written, reviewed, debugged, and maintained production automation code within the last 12 months.
• Experience integrating automated test suites into CI/CD pipelines (Jenkins, GitLab CI, or equivalent) and improving execution reliability, speed, and diagnosability.
• Practical, current use of AI coding assistants or agents — able to describe specific workflows, measurable benefits, limitations encountered, and a concrete case where AI output was confidently wrong and how it was caught.
• Strong production-debugging skills using SQL, logs, traces, observability systems, and network-level tooling; demonstrated track record of improving quality without proportional growth in manual QA headcount.

Nice to Have

• Experience testing AI assistants, LLM-powered products, conversational systems, call intelligence, or automated communication workflows.
• Background in healthcare SaaS, dental technology, VoIP, payments, or other business-critical platforms.
• Experience with mobile automation, distributed architectures, third-party integrations, and asynchronous processing.
• Exposure to performance, reliability, security, privacy, accessibility, or observability testing.
• Track record of transforming a traditional QA team into a modern Quality Engineering organization.

What We Offer

• Ownership of a high-impact, technically ambitious quality engineering mandate at a profitable, product-led SaaS company.
• Direct influence on architecture, tooling, and AI-assisted engineering practices across a cross-functional team.
• Autonomy and flexible scheduling within a mission-driven, execution-oriented culture.
• Opportunity to build in a large, under-digitized healthcare vertical with clear, measurable customer impact.
• Support for technical growth, career development, and contribution as a genuine engineering partner — not a process gatekeeper.