
Overview
Pendo is seeking a Senior Quality Engineer to join our Business Systems team in Pune, focused on ensuring quality and reliability across our business systems ecosystem. This role goes beyond traditional Salesforce QA. You’ll be responsible for designing and automating end-to-end testing across a multi-system landscape including Salesforce, Workday, Zuora, and other critical platforms.
You will play a key role in building scalable, automated QA processes using Copado, enabling high-confidence releases across integrated systems. We’re looking for someone who is AI-curious and proactive about leveraging AI tools to accelerate QA workflows, improve test coverage, and reduce manual effort.
Responsibilities
- Own end-to-end QA strategy and execution across business systems, including Salesforce, Workday, Zuora, and related integrations
- Design, build, and maintain automated test suites using Copado Robotic Testing (CRT) and other automation frameworks
- Develop integration and cross-system test scenarios that validate workflows spanning multiple platforms (e.g., quote-to-cash, employee lifecycle, billing flows)
- Ensure automated tests are data-resilient and environment-agnostic, supporting seamless promotion across dev, QA, staging, and production
- Integrate automated tests into Copado pipelines and Quality Gates to enforce release quality and prevent regressions
- Leverage AI tools and techniques to accelerate test creation, improve defect detection, and optimize QA workflows
- Collaborate with engineering, business systems analysts, and stakeholders to define test coverage aligned to business processes, not just individual systems
- Perform functional, regression, and UAT testing with a strong emphasis on automation over manual effort
- Create and manage test data strategies, including validation via SOQL and system-specific queries/APIs
- Identify, log, and track defects across systems, working closely with teams to drive resolution
- Continuously improve QA processes, tooling, automation coverage, and AI-driven efficiencies across the IT ecosystem
Required Qualifications
- 3–6+ years of QA experience with a strong focus on test automation
- Hands-on experience with Copado, especially Copado Robotic Testing (CRT) and Quality Gates
- Experience testing Salesforce (Sales Cloud, Service Cloud, CPQ, or similar)
- Experience working with integrated enterprise systems (e.g., Workday, Zuora, NetSuite, or similar platforms)
- Demonstrated interest in or experience with using AI tools to improve productivity, automation, or testing workflows
- Strong understanding of end-to-end business workflows and how data flows across systems
- Familiarity with API testing, integration testing, and data validation techniques
- Experience working in Agile/Scrum environments
- Proficiency in SQL/SOQL or similar query languages for validation and debugging
- Experience with defect tracking and test management tools (e.g., JIRA, TestRail, or similar)
Preferred Qualifications
- Hands-on experience applying AI in QA contexts (e.g., test generation, intelligent test maintenance, anomaly detection, or workflow automation)
- Experience with quote-to-cash, billing, or HR systems workflows
- Exposure to CI/CD pipelines and DevOps practices in enterprise SaaS environments
- Experience with additional test automation tools (e.g., Selenium, Copado, Tricentis)
- Understanding of data migration and environment management challenges
What Success Looks Like
- You enable high-confidence, low-risk releases across a complex system landscape
- You reduce manual QA effort by building scalable, reusable automation
- You proactively use AI to accelerate testing, increase coverage, and reduce repetitive work
- You catch cross-system defects early, before they impact production
- You help shift QA from a bottleneck to a release accelerator

About Pendo
About
About Pendo
Pendo is a leading product experience and software analytics platform that helps companies understand how users interact with their software and improve those experiences. It operates in the product analytics and digital adoption space, enabling organizations to combine analytics, in-app guidance, and user feedback in one unified platform.
Pendo – Key Highlights
- Founded in 2013, headquartered in Raleigh, North Carolina
- Serves 14,000+ companies globally
- Processes 20B+ daily events and supports 1B+ users
- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
Chisel was acquired by Pendo in 2026, marking a key milestone in its journey. The acquisition strengthens Pendo’s push into AI-driven product experience, with Chisel’s agentic capabilities becoming a core part of Pendo’s broader platform vision.
Chisel Labs is an AI-powered product management platform built to help product teams move faster and make better decisions. It operates in the product management and AI SaaS space, bringing feedback, roadmapping, and documentation into a unified system of record.
At its core, Chisel functions as an AI PM Agent, automating workflows like PRDs, research, and feedback analysis - allowing teams to focus on strategy, prioritization, and product outcomes.
About Chisel
Chisel is a lean, globally distributed team with presence across the US and India. The team operates at the intersection of AI, product management, and enterprise SaaS, with a strong emphasis on ownership, speed, and building for real-world product teams at scale. Post-acquisition, the team is now part of Pendo’s broader organization.
🏆 Milestones
- Founded in the early 2020s as a next-gen product management platform
- Built one of the early AI-native PM agents for automating product workflows
- Grew adoption across global teams with integrations like Jira, Salesforce, and Zendesk
- Achieved strong product recognition across PM tooling ecosystems
- Acquired by Pendo (2026) to accelerate AI innovation in product experience
Candid answers by the company
Pendo is a product experience platform that helps companies understand how users interact with their software and improve those experiences through analytics, in-app guidance, and feedback tools.
Product showcase
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