Senior Manager Quality Engineering (AI First)

We are seeking an experienced and visionary Senior Manager of Quality Engineering to lead our AI-First QE strategy for Go-to-Market (GTM) and Customer Success platforms. This role is central to transforming our quality practices by embedding AI/ML-driven innovation into our Salesforce ecosystem (Sales Cloud, Service Cloud, CPQ) and the complete Quote-to-Cash (QTC) lifecycle. You will ensure world-class reliability, scalability, and user experience for mission-critical revenue and customer-facing systems.

Your Impact

Strategic Leadership & AI Vision

• Define and execute an AI-driven Quality Engineering roadmap aligned to GTM and Customer Success strategies.

• Pioneer predictive analytics, generative AI for test data/case creation, and self-healing automation for maximum efficiency.

• Lead the shift toward 100% test automation, fostering a culture of continuous improvement and innovation.

Domain & Application Expertise

• Drive quality for Lead-to-Opportunity, Sales Forecasting, Marketing Automation integrations, Case Management, and Customer Support workflows.

• Provide deep expertise in Salesforce Sales Cloud, Service Cloud, and CPQ customizations, integrations, and upgrades.

• Ensure end-to-end quality for the Quote-to-Cash lifecycle, including quoting, contracts, billing, and revenue recognition.

AI-First QA/QE Implementation

• Build and maintain AI-enhanced test frameworks for Salesforce and QTC systems.

• Implement risk-based AI testing, defect prediction, and intelligent prioritization of test scenarios.

• Use synthetic data generation and anonymization for secure and comprehensive test coverage.

• Leverage AI for continuous monitoring of production environments to preempt issues.

Team Leadership & Development

• Lead and mentor a high-performing Quality Engineering team, nurturing expertise in both classical QE and AI-first approaches.

• Set clear goals, metrics, and growth paths to scale team impact and drive professional development.

Cross-Functional Collaboration

• Partner with Product, Engineering, DevOps, Sales Operations, and Customer Success to align quality expectations and timelines.

• Communicate quality insights and AI-driven findings to both technical and business stakeholders to influence key decisions.

Process Optimization & Metrics

• Establish and track AI-powered KPIs to measure product quality, efficiency, and customer experience.

• Continuously refine QE processes to reduce costs, accelerate release cycles, and improve reliability.

• Ensure compliance with industry standards and regulatory requirements for financial and customer data security.

Your Experience

• 15+ years in Quality Engineering or Software Development, with 5+ years in leadership roles.

• Proven expertise in GTM and Customer Success platforms with deep Salesforce (Sales Cloud, Service Cloud, CPQ) knowledge.

• Strong experience in Quote-to-Cash (QTC) processes and enterprise system integrations.

• Hands-on leadership in AI/ML-driven QA initiatives (predictive testing, anomaly detection, test data generation).

• Proficiency with test automation frameworks, CI/CD pipelines, and Agile/DevOps methodologies.

• Strong problem-solving, decision-making, and communication skills, with the ability to inspire high-performing teams.

• Bachelor’s degree in Computer Science or related field (Master’s preferred).