Job description
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 system—not 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 What’s 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 industry’s 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 marketer’s 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: https://zetaglobal.com/press-news/
Posting text © Zeta Global, shown from its public careers page for reference; the employer's page is the authoritative version. Posted 2026-05-25; listed here until 2026-07-24 unless the employer closes it earlier.
