What is Findem:Findem is the only talent data platform that combines 3D data with AI. It automates and consolidates top-of-funnel activities across your entire talent ecosystem, bringing together sourcing, CRM, and analytics into one place. Only 3D data connects people and company data over time - making an individual’s entire career instantly accessible in a single click, removing the guesswork, and unlocking insights about the market and your competition no one else can. Powered by 3D data, Findem’s automated workflows across the talent lifecycle are the ultimate competitive advantage. Enabling talent teams to deliver continuous pipelines of top, diverse candidates while creating better talent experiences, Findem transforms the way companies plan, hire, and manage talent. Learn more at www.findem.aiExperience:15Yrs-15+ years of experience in
Quality Assurance
/
SDET
roles with deep expertise in testing, automation, and modern AI-assisted QA processes.
About the role:
As our products and AI-driven features continue to expand, we’re looking for a
Staff Quality Assurance Engineer
to help us scale QA through
AI and automation
.You’ll play a key role in modernizing our QA ecosystem by leveraging AI tools, optimizing test coverage, and improving automation speed and accuracy.You will collaborate closely with Engineering, PM, and DevOps teams across the U.S., Canada, and India to ensure the quality of our growing portfolio of AI-powered products, including:
AI Assistance in Campaigns (e.g. AI-powered campaign creation)
AI Assistance in Start Search (Copilot)
AI Assistance in Profile Enrichment
Insights for Profile Enrichment
Auto-suggested Titles
Responsibilities
Company List Generation
- Scale QA operations using AI tools and frameworks
- Use AI technologies to enhance testing coverage and automation across multiple teams and locations
- Write, execute, and report comprehensive test plans and test cases
- Develop and maintain automated tests for web and backend systems
- Accelerate CI/CD automation pipelines and improve test coverage analysis
- Identify changes across repositories and commits to help QA focus testing efficiently
- Champion best practices for testing, automation, and AI integration in QA processes
Skill Requirements
- Hands-on experience with AI-assisted development tools such as VS+ Cline, ChatGPT, GitHub Copilot, Codeium, Claude, Cursor, or Cody
- Strong understanding of QA automation tools: Playwright, Selenium, CI/CD systems (e.g., Jenkins), and issue tracking tools like Jira
- Experience using Bitbucket, Git, and browser development tools
- Strong coding skills in one or more languages: Typescript, Java, Python, or Shell scripting
- Proven ability to integrate AI into QA workflows for test generation, coverage analysis, or automation acceleration
Competencies
- Ability to guide and mentor engineers on leveraging AI tools in QA and development
- Strong ownership and multitasking skills
- Excellent collaboration with cross-functional teams (PM, DevOps, Engineering)
- Ability to design, scope, and manage large-scale test strategies
Education
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field
The role is full-time and comes with full benefits. We are globally headquartered in the San Francisco Bay Area with our India headquarters in Bengaluru.
Equal OpportunityAs an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status or any other legally-protected characteristic.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
