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Pulsora

Engineering Quality Lead – AI & Product Quality (Not a QA Manager/Lead)

Reposted Yesterday
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.
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Founded in 2021, Pulsora the “Enterprise Sustainability Platform”, is a well-funded Silicon Valley software startup.  It is dedicated to empowering purpose-driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. We are well funded, have amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and are growing fast! 

Role Overview

The Engineering Quality Lead is a hands-on software engineering leader responsible for improving product quality across the entire software development lifecycle. This role combines software development leadership, AI-assisted engineering, automation, and quality strategy to reduce production defects, improve engineering practices, and build a culture where quality is engineered into every release.

Unlike a traditional QA Lead or QA Manager, this role focuses on preventing defects before they reach customers by combining software engineering expertise, AI-assisted development, intelligent automation, and engineering leadership.

What You'll Do

AI-Driven Engineering Quality

  • Analyze Jira issues, incidents, support tickets, and production defects

  • Use AI to trace issues to root causes in the codebase

  • Review pull requests and production code using AI

  • Identify recurring defect patterns

  • Build defect taxonomies

  • Recommend architectural improvements

  • Identify technical debt

  • Improve engineering practices

  • Build engineering quality dashboards

  • Create AI workflows that improve engineering effectiveness

AI-Powered Test Automation

  • Generate Playwright tests using AI

  • Review AI-generated tests

  • Improve automation quality

  • Generate API tests

  • Generate integration tests

  • Generate regression tests

  • Generate edge-case tests

  • Analyze production incidents and automatically generate regression tests

  • Integrate automation into CI/CD

  • Improve automation coverage across engineering teams

Engineering Leadership

  • Lead engineering teams to build quality into every release

  • Coach developers on engineering best practices

  • Coach QA engineers on AI-assisted automation

  • Drive engineering accountability

  • Conduct root cause reviews

  • Challenge poor engineering practices

  • Improve release readiness

  • Define engineering standards

  • Improve engineering quality metrics

  • Drive measurable reductions in production defects

Product Quality Improvement

  • Analyze escaped defects

  • Identify recurring engineering issues

  • Define corrective actions

  • Define preventive actions

  • Improve engineering processes

  • Improve code review quality

  • Improve release quality

  • Reduce customer-reported defects

  • Improve engineering productivity using AI

What You'll Bring

  • 8+ years of professional software engineering experience

  • 4+ years of hands-on software development (coding) experience

  • Experience leading software engineering teams that include both software developers and QA engineers

  • Demonstrated success using AI (Claude Code, Cursor, Copilot, ChatGPT, Gemini, etc.) to improve engineering practices and product quality

  • Experience managing both software developers and QA engineers

  • Experience using AI and Playwright to create, review, and maintain automated tests

  • Experience analyzing production defects, identifying root causes, and implementing preventive engineering improvements

  • Strong Java and/or Python development experience

  • Strong understanding of software architecture

  • Strong understanding of CI/CD

  • Strong debugging skills

  • Strong root cause analysis skills

  • Experience improving engineering quality

  • Willingness and ability to work core India business hours, plus collaborate with global teams

Why Pulsora

This is an opportunity to shape the quality culture of a rapidly growing AI-powered enterprise software company. The Engineering Quality Lead will influence engineering standards, establish quality systems, and help Pulsora scale with confidence and reliability.

Why work at Pulsora?

We believe that progress happens by bringing together people from all walks of life who have the drive and the influence to improve our world now and for the next generations!

  • Ideally have industry and market knowledge of ESG and sustainability

  • The company will pay with salary, equity, and benefits

  • You’ll get to work on problems that are hard and important

  • You get to work on a solution that helps the planet and helps us all

  • You’ll be joining an extraordinary team at the beginning of an extraordinary journey

  • Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)

Pulsora Core Values

  • Compassionate candor

  • Transparency

  • Embrace diversity and cultivate belonging

  • Make a positive impact

  • Delight customers

Join us and become a driver for positive change!

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