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Innominds • San Jose, California, United States
Role & seniority: Quality Engineering Practice Leader (senior, leadership, cross-functional)
Stack/tools: Cloud platforms (AWS, Azure, GCP); quality engineering, test automation, AI/ML applications in QE; automation tools; DevOps; GTM collaboration with sales/business development
Lead and expand the QE practice, aligning with goals and industry trends
Develop and execute GTM strategies for QE services with sales/biz dev support
Leverage AI/ML to enhance QE processes (automation, predictive analytics, optimization) and integrate QE with cloud platforms
18+ years in cloud technologies, quality engineering, or related domains
5+ years in leadership managing cloud practices, offerings, and client-facing solutions
Experience developing/executing GTM strategies for technology services
Strong AI/ML exposure in cloud environments and QA; deep QA and test automation knowledge; cloud-native apps; DevOps
Strong client-facing communication; ability to articulate technical concepts to non-technical stakeholders
Prior experience in sales enablement and working with BDs to drive revenue
Track record of leading cross-functional, complex initiatives; strategic vision; change management
Location & work type: Not specified in provided text; no definitive location or remote/in-office designation available.
Position Summary: We are seeking a seasoned Quality Engineering Practice Leader to spearhead our quality engineering initiatives. The ideal candidate will possess extensive experience in cloud technologies, quality engineering, and leadership, with a strong emphasis on AI/ML applications within cloud environments. This role requires a visionary leader capable of developing and executing go-to-market (GTM) strategies, managing client-facing technical solutions, and driving innovation in quality engineering practices.
Education: Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or a related field.
About Innominds: Innominds is an AI-first, platform-led digital transformation and full-cycle product engineering services company. We empower the Digital Next initiatives of global enterprises, software product companies, OEMs, and ODMs with integrated expertise in devices and embedded engineering, software apps and product engineering, analytics and data engineering, quality engineering, cloud and DevOps, and security.
Industry Trends and Innovations: At Innominds, we are at the forefront of integrating AI into quality engineering. Our AI-powered quality engineering approach enables the delivery