QA Engineer - GTM Applications

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Engineer – GTM Applications based in India.

This role sits at the forefront of quality engineering for next-generation Go-To-Market systems powered by AI and large-scale enterprise integrations. You will be part of a highly technical team working across AI-driven workflows, Salesforce ecosystems, Slack applications, and cloud-native architectures to ensure reliable, secure, and scalable delivery. The position requires rethinking traditional QA approaches to accommodate non-deterministic AI systems, where evaluation is based on probabilistic outputs rather than fixed outcomes. You will design advanced testing frameworks, define quality standards for agentic AI workflows, and ensure robust validation across complex distributed systems. This is a high-impact role where QA becomes a core enabler of innovation, directly influencing the reliability of AI-powered business processes. You will collaborate closely with engineers, product owners, and AI specialists in a fast-paced, experimentation-driven environment.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Engineer – GTM Applications based in India.

This role sits at the forefront of quality engineering for next-generation Go-To-Market systems powered by AI and large-scale enterprise integrations. You will be part of a highly technical team working across AI-driven workflows, Salesforce ecosystems, Slack applications, and cloud-native architectures to ensure reliable, secure, and scalable delivery. The position requires rethinking traditional QA approaches to accommodate non-deterministic AI systems, where evaluation is based on probabilistic outputs rather than fixed outcomes. You will design advanced testing frameworks, define quality standards for agentic AI workflows, and ensure robust validation across complex distributed systems. This is a high-impact role where QA becomes a core enabler of innovation, directly influencing the reliability of AI-powered business processes. You will collaborate closely with engineers, product owners, and AI specialists in a fast-paced, experimentation-driven environment.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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