QA Automation LeadEmployment Type: Full-Time, Long-Term
Role Location: Hybrid - Atlanta, GA (3 days per week in office)
Industry: Consumer Goods
About the RoleWe are looking for a
QA Automation Lead to join our team. This role supports a leading organization in the Consumer Goods industry. The project is based in Atlanta, GA and is building, modernizing, and scaling Customer & Commercial product platforms across its North America business - including sales, service, and customer experience capabilities, operated under a modern Product Operating Model.
In this role, you will be responsible for designing, building, and sustaining automated quality engineering capabilities across Customer and Commercial product teams. You will be a senior individual contributor responsible for creating and maintaining automated QA frameworks, pipelines, and quality platforms that enable teams to deliver faster with confidence - ensuring quality is engineered into products from the earliest stages of discovery through production, not validated after the fact.
Key Responsibilities- Partner with Product and Engineering leadership to embed automated quality strategies into product discovery and delivery.
- Ensure experiments, MVPs, and releases include automated validation aligned to customer and business outcomes; advocate for testability, observability, and automation-readiness as non-negotiable design principles.
- Define and own the automated QA strategy for Customer and Commercial platforms.
- Design and maintain enterprise-grade automation frameworks covering UI, API, data, performance, and security testing.
- Establish standards for automation design, tooling, test data, and environment management; make explicit trade-offs between automation depth, execution time, risk coverage, and maintainability.
- Build, extend, and maintain automated QA solutions integrated directly into CI/CD pipelines; ensure suites are reliable, fast, and actionable, minimizing false positives and brittle tests.
- Continuously refactor and improve automation to keep pace with product and platform evolution; reduce reliance on manual testing by replacing it with scalable, reusable automated capabilities.
- Serve as the primary technical authority for automated QA across Customer and Commercial domains; lead complex automation initiatives end-to-end through direct contribution.
- Provide reference implementations, patterns, and reusable components for teams to adopt; coach engineers and QE practitioners on effective automation practices (without formal people management).
- Act as a trusted advisor to product and business leaders on quality risk, automation coverage, and release readiness; translate automation metrics into clear business impact narratives (risk reduction, faster time-to-market, cost avoidance).
- Proactively surface quality and automation gaps that could impact customer experience or revenue.
- Ensure automated QA solutions meet enterprise security, audit, and regulatory requirements; embed traceability, evidence generation, and controls directly into automation pipelines.
Basic Qualifications- Self-motivated, quick learner, and adaptable to new technologies and legacy systems.
- Thrives in a team environment, actively contributes to collaboration, fostering a sense of community.
- Excellent problem-solving and analytical skills, with a keen eye for detail and a proactive approach to issue resolution.
Requirements- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 8+ years of hands-on experience building automated QA solutions.
- Proven track record creating and sustaining automation at enterprise scale.
- Deep expertise in test automation frameworks, CI/CD integration, and cloud-native systems.
- Strong understanding of API, UI, data, performance, and security testing automation.
- Ability to communicate automation value and risk in business terms.
Things to keep in mind!- Alignment: W2 or C2C
- Applicants should be eligible to work in the US without requiring sponsorship now or in the future.
- Individual pay is determined by multiple factors, including job-related knowledge, skills, experience, and relevant education or training.
