Staff QA Automation Engineer

Staff QA Automation Engineer

Job Location: Bangalore

About the role:

• Most teams trade speed for quality. We believe quality is what enables speed.
• We are building an AI-first engineering organization where teams ship fast confidently and continuously. That only works when quality data and delivery are designed as a systemnot separate functions.
• This is not a traditional QA role. It is not project management. This is a high-ownership position where you define how an AI-first team builds validates and ships production software.

Key Responsibilities:

• Build Quality as a System
  • Turn quality into developer behavior not a downstream gate
  • Design automated testing systems that act as guardrails
  • Define and enforce what production-ready means through systems
  • Enable teams to anticipate edge cases failures and data issues early
  • Eliminate hope-driven releases

• Define Whats Buildable
  • Partner with Product and Sales to validate ideas early
  • Assess feasibility data requirements trade-offs and cost
  • Translate ambiguity into clear executable plans
  • Shape viable ideas and stop unworkable ones early

• Own the Data Reality
  • Map how data actually flows across systems and integrations
  • Identify gaps inconsistencies and reliability issues
  • Ensure features are grounded in real usable data
  • Navigate internal and third-party data ecosystems confidently

• Bring Domain Expertise
  • Apply knowledge of MarTech / AdTech (identity activation measurement)
  • Operate within healthcare data constraints and compliance requirements
  • Ensure solutions are technically sound and market-relevant

• Drive Delivery End-to-End
  • Own delivery for AI-first engineering teams
  • Break down work into clear actionable steps
  • Maintain predictable delivery without slowing velocity
  • Proactively identify risks and adjust early
  • Align Product Engineering and GTM teams.

• Redefine QA for AI Systems
  • Develop testing strategies for AI-generated non-deterministic systems
  • Validate outputs and behavior not just code
  • Build evaluation frameworks for AI reliability and accuracy
  • Ensure AI accelerates development without compromising quality

What You Need to Succeed

• Strong systems thinking across quality data and delivery
• Ability to move from data models requirements test strategy delivery plan
• Experience improving engineering quality without becoming a bottleneck
• Confidence pushing back on unclear or unviable ideas
• Focus on production outcomes not just releases

Core Experience:

• Background in Quality Engineering SDET or technical delivery leadership
• Hands-on experience with test automation and CI/CD pipelines
• Strong SQL skills and ability to work with complex data systems
• Experience with AI-assisted development or ML/LLM-based systems

Nice to Have

• Experience in MarTech / AdTech ecosystems
• Familiarity with healthcare data compliance and constraints
• Exposure to building or testing AI-first or non-deterministic systems at scale

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley former CEO of Apple Inc and Pepsi-Cola the Company combines the industrys 3rd largest proprietary data set (2.4B identities) with Artificial Intelligence to unlock consumer intent personalize experiences and help our clients drive business growth.

Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire grow and retain customers through intelligent data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP) which unifies customer data identity and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes.

Publicly traded on the New York Stock Exchange (NYSE: ZETA) Zeta is redefining modern marketing with Athena by Zeta a superintelligent conversational agent embedded in ZMP that personalizes the marketers workspace surfaces platform generated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes.

Learn more about Zeta: Experience:

Staff IC