Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we're enabling over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences and employee productivity.

Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation.

Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, UK, Germany, Korea, and Japan.

You can find full press coverage at  https://kore.com/press/

POSITION / TITLE: Vice President - Quality Engineering 

POSITION SUMMARY: Kore.ai is hiring a Vice President of Quality Engineering to lead the enterprise-wide transformation of product quality across its Conversational AI, Voice, CCaaS, and Agentic AI platforms.

This is a strategic leadership role reporting into the CTO / Chief Product & Technology organisation. The VP will define quality as a competitive advantage, ensure customer trust at scale, and embed AI-aware quality practices into every stage of product development and delivery.

The role owns multi-product QA organisations, shared platforms, production quality, and customer-impact outcomes, and will partner closely with Engineering, Product, SRE, Security, and Customer Success leadership.

The VP of Quality Engineering will be accountable for:

• Transforming QA into a modern, engineering-led Quality function
• Establishing predictable, scalable, and measurable quality across all products
• Ensuring AI system reliability, safety, and enterprise readiness
• Protecting and strengthening Kore.ai’s reputation with Tier-1 global customers

LOCATION: Hyderabad (Work from Office)

RESPONSIBILITIES:

1. Enterprise Quality Strategy & Governance

• Define and execute a company-wide Quality Engineering strategy aligned with Kore.ai’s product and AI roadmap.
• Establish quality governance, standards, and metrics across all products and platforms.
• Act as the executive owner of product quality, release readiness, and risk acceptance.
• Represent quality posture in executive reviews, customer escalations, and board-level discussions.

2. Platform, Automation & Intelligent Systems Quality Leadership

• Define quality practices for complex, highly configurable platforms that include automation, orchestration, and intelligent decisioning components.
• Establish robust validation strategies for workflow-driven, event-based, and non-deterministic systems without over-reliance on model internals.
• Drive automation-led quality engineering using:
• • API, contract, and integration testing
  • Synthetic data and scenario-driven validation
  • Scalable regression frameworks across products
• Ensure quality coverage for voice, conversational flows, integrations, and enterprise workflows.
• Partner with architecture and platform teams to embed design-for-quality principles early in the lifecycle.
• Encourage selective use of intelligent tooling to improve test coverage, defect prediction, and release confidence—without turning QA into an R&D function.

3. Multi-Product & Platform Ownership

• Own quality outcomes across multiple large, enterprise-scale products with shared infrastructure.
• Drive horizontal quality platforms, reusable automation, and common tooling across product lines.
• Balance speed, innovation, and enterprise-grade reliability across highly configurable deployments.

4. Engineering, DevOps & Production Excellence

• Embed quality deeply into CI/CD, DevSecOps, and SRE practices.
• Establish performance, scale, resiliency, security, and compliance testing as non-negotiable gates.
• Own production quality KPIs: escaped defects, customer impact, MTTR, and systemic RCA effectiveness.
• Drive proactive detection of quality risks before customer impact.5. Customer Trust & Enterprise Readiness

• Partner with Customer Success and Support leadership to improve customer-visible quality outcomes.
• Lead quality response for strategic accounts and high-severity escalations.
• Ensure products meet enterprise expectations for reliability, compliance, and audit readiness

6. Organization & Talent Leadership

• Lead and scale a multi-product QA organization through Directors, Managers, and Principal Engineers.
• Build a strong leadership bench and succession pipeline within Quality Engineering.
• Define modern QA career paths emphasizing engineering depth, AI literacy, and product ownership.
• Foster a culture of accountability, craftsmanship, and continuous improvement

QUALIFICATIONS / SKILLS REQUIRED:

Leadership & Experience

• 18+ years in Product Engineering / Quality Engineering, with 5+ years at Director / VP level.
• Proven experience leading quality for enterprise SaaS or platform products.
• Demonstrated success transforming QA organizations at scale and complexity.
• Strong executive presence with ability to influence CTO, Product, and Customer leadership.

Technical & Domain Expertise

• Deep understanding of cloud-native architectures, distributed systems, and APIs.
• Strong background in automation-first QA, CI/CD, and DevOps.
• Hands-on exposure to AI/ML systems, LLMs, conversational or decisioning platforms strongly preferred.
• Experience with voice, CCaaS, workflow, or real-time systems is a strong advantage.

Why Join Us?

At Kore.ai, you won't be maintaining quality for conventional software—you'll be defining what quality means for an entirely new category of platform technology that enables enterprise-scale agentic applications. Your work will directly influence how the world's leading organizations build, deploy, and trust AI systems, establishing standards that could transform the industry.

Join us in building not just a better platform, but the frameworks that ensure enterprise agentic applications deliver on their transformative promise safely, effectively, and responsibly at scale.