---
title: 'Engineering Manager, QA at Emergent Labs'
canonical: 'https://feeny.ai/job/engineering-manager-qa-emergent-labs-bengaluru-en9gbxtjfzhy'
type: 'job'
last_seen: '2026-10-24'
---

# Engineering Manager, QA at Emergent Labs 

- **Company:** Emergent Labs 
- **Location:** Bengaluru, India
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-10-24
- **Apply:** https://job-boards.greenhouse.io/emergentlabsinc/jobs/4457256009

## Job description

## About Emergent

Emergent is building an AI-native platform that enables users to build software using AI. We operate in a fast-paced environment where product quality, customer experience, and release speed are critical.

We are looking for an Engineering Manager, QA, to lead our Quality Assurance function, strengthen testing practices, and ensure consistent product quality across teams. This role requires strong QA fundamentals, people leadership, excellent execution, and the ability to collaborate closely with Engineering and Product teams.

The ideal candidate can build a high-performing QA team, establish effective testing processes, identify risks early, and ensure quality remains a shared responsibility across the organisation.

## Responsibilities

Quality strategy and test planning

- Own the QA strategy and testing approach across product features and releases.
- Define test plans, test scenarios, coverage expectations, and release-readiness criteria based on product risks.
- Ensure functional, regression, integration, exploratory, and end-to-end testing are performed effectively.
- Identify quality risks early during requirement discussions and ensure appropriate test coverage before development is completed.
- Establish consistent QA processes and standards across product teams.
- Ensure testing focuses on customer experience, business-critical workflows, and potential production risks.

Release quality and defect management

- Own QA sign-off and communicate release risks clearly to stakeholders.
- Drive defect triage, prioritisation, root cause discussions, and follow-up on critical issues.
- Ensure production defects are analysed and preventive actions are implemented.
- Monitor defect leakage, regression failures, escaped bugs, and recurring quality issues.
- Partner with Engineering and Product leaders to make informed release decisions.
- Balance release timelines with product quality and customer impact.

People management and team development

- Lead, mentor, and develop QA engineers, helping them improve testing skills, product understanding, and ownership.
- Set clear expectations, goals, and performance standards for the team.
- Conduct regular feedback and career development discussions.
- Hire and onboard QA talent as the organisation grows.
- Allocate team resources based on product priorities and release commitments.
- Build a culture of accountability, collaboration, proactive communication, and continuous improvement.
- Encourage team members to take ownership of quality rather than limiting their responsibilities to executing test cases.

Cross-functional collaboration

- Work closely with Engineering, Product, and Design teams to ensure requirements are testable and quality risks are identified early.
- Participate in feature planning, requirement reviews, and release discussions.
- Ensure QA is involved throughout the development lifecycle rather than only during final validation.
- Communicate testing progress, blockers, release risks, and quality status to stakeholders.
- Drive alignment across teams on defect severity, release readiness, and quality expectations.
- Improve team execution by identifying process bottlenecks and removing unnecessary testing delays.

Continuous improvement

- Improve test planning, test case quality, regression coverage, and testing efficiency.
- Identify opportunities to reduce repetitive manual effort and improve QA productivity.
- Encourage the team to use AI tools where appropriate to support test scenario creation, test documentation, and test analysis.
- Maintain a basic understanding of automation capabilities and collaborate with SDETs when automation can improve coverage or efficiency.
- Use quality metrics and production feedback to identify improvement areas and track progress.

Required skills and experience

- 8–12 years of experience in software QA and testing, with meaningful experience leading or managing QA teams.
- Strong understanding of software testing methodologies, functional testing, regression testing, exploratory testing, and defect management.
- Experience managing release quality and making risk-based testing and release-readiness decisions.
- Proven ability to lead, mentor, and develop QA engineers.
- Experience working closely with Engineering and Product teams in a fast-paced product environment.
- Strong understanding of the software development lifecycle, agile delivery, and release processes.
- Ability to analyse requirements, identify edge cases, and ensure adequate test coverage.
- Experience tracking quality metrics, analysing defect trends, and driving process improvements.
- Excellent communication, stakeholder management, prioritisation, and problem-solving skills.
- Strong ownership and the ability to manage multiple priorities without compromising critical quality standards.

Good to have

- Basic understanding of test automation concepts and their role in improving testing efficiency.
- Experience collaborating with SDETs or automation engineers.
- Familiarity with AI-assisted testing and AI productivity tools.
- Experience testing SaaS products, AI-powered applications, or complex user workflows.
- Experience establishing QA processes in a rapidly growing organisation.

Success metrics

- Reduced production defect leakage and recurring quality issues.
- Consistent test coverage for critical user journeys and business workflows.
- Predictable release readiness and timely communication of quality risks.
- Improved defect detection and resolution before production

## About Emergent Labs 

## Company Overview
- **One-liner**: Emergent is an AI-powered development platform that transforms plain-language descriptions into production-ready software applications, replacing traditional coding with autonomous coding agents.
- **Entity Type**: Private (Series B)
- **Headquarters**: Pleasanton, California, United States
- **Founded**: 2024 (estimated; earliest funding round March 2025) [linkedin.com](https://www.linkedin.com/company/emergentlabs)
- **Founders**: Mukund Jha (CEO) and Madhav Jha (CTO) – twin brothers [ycombinator.com](https://www.ycombinator.com/companies/emergent)

## Core Business
- **Primary industry**: AI-powered software development / Autonomous coding agents
- **Target customers**: B2B (teams, enterprises) and B2C (individual builders, power users); from beginners to experienced developers
- **Mission**: Democratize product development by letting anyone turn ideas into monetizable software without writing code

## Products & Services
- **[Emergent Platform](https://emergent.sh/)**: AI app builder that converts natural language descriptions into fully functional applications. Handles architecture, coding, testing, and deployment autonomously. Generates production-ready code that users own. Pricing starts at $17/month (individual), $167/month (power users), $250/month (teams), with a free tier and enterprise options.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: $100M ARR achieved in 8 months (fastest-growing startup globally) [linkedin.com](https://www.linkedin.com/company/emergentlabs); Total funding $100.125M [linkedin.com](https://www.linkedin.com/company/emergentlabs)
- **Notable Investors/Partners**: Khosla Ventures, SoftBank Vision Fund, Google (AI Futures Fund), Lightspeed India, Prosus Ventures, Together Fund, Y Combinator [linkedin.com](https://www.linkedin.com/company/emergentlabs)
- **Growth Signals**: 6M+ users across 190+ countries; 6M+ applications built; headcount grew 1,713% YoY to 212 employees; 37 active job postings [linkedin.com](https://www.linkedin.com/company/emergentlabs)

## Competitive Advantages
- **Natural language interface** – no drag-and-drop or coding required; works through conversation
- **Full code ownership** – users own all generated code, can download, modify, or host anywhere
- **Autonomous end-to-end development** – agents plan, build, test, and debug apps independently
- **Production scale** – systems run at global scale, handling millions of real applications

## Strategic Focus
- Scaling reliability, security, and correctness of AI-driven software creation
- Expanding enterprise capabilities and custom AI agents
- Continuing rapid hiring (especially in engineering, AI, and growth roles) to support hypergrowth

## Why Work Here
- **Culture**: "Own it" – full product ownership from day one; direct founder mentorship; weekly releases with millions of users [emergent.sh/careers](https://emergent.sh/careers)
- **Remote/Hybrid**: Offices in Bangalore, India and San Francisco/Pleasanton, USA; open to remote for some roles (details per job posting)
- **Perks**: Competitive salary + equity; unlimited PTO; full insurance coverage; meal coverage; modern tech stack
- **Engineering culture**: Elite team of Google, Amazon, IIT/IIM alumni; tackle ambitious projects with the latest tools and technologies; high impact at global scale
- **Growth**: Fastest-growing startup in the world; massive career acceleration opportunity

## Sources
1. [emergent.sh/careers](https://emergent.sh/careers)
2. [emergent.sh](https://emergent.sh/)
3. [job-boards.greenhouse.io/emergentlabsinc](http://job-boards.greenhouse.io/emergentlabsinc)
4. [linkedin.com/company/emergentlabs](https://www.linkedin.com/company/emergentlabs)
5. [ycombinator.com/companies/emergent](https://www.ycombinator.com/companies/emergent)

## Other roles at Emergent Labs 

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