Lead AI solution business development for enterprise clients, from identifying business needs and designing practical services to proposals, UX planning, and project delivery with engineers. Apply generative AI, NLP, and optimization technologies to new services and operational reform.
About this role
This manager-track QA Engineer role supports quality assurance for multiple AI SaaS products, including PKSHA AI Helpdesk and PKSHA ChatAgent. It combines QA-team management with product-quality work and organization development.
The role leads member development, team goals, recruiting, performance reviews, career support, and QA participation planning. It may review requirements, plan and execute automated and manual system tests, and coordinate roadmap and defect-fix schedules. The posting names shift-left work, E2E test automation, and LLM-enabled applications, with Autify and Playwright among the tools.
Required qualifications include team management with member development, GUI application system testing, and test design with JSTQB Foundation Level-equivalent knowledge. Candidates also need computing fundamentals, introductory web-application knowledge such as HTML, HTTP, and RDB, iterative-development experience such as Scrum or XP, and daily use of LLM applications.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Leads customer-facing transformation projects that apply generative AI, LLMs, RAG, and AI agents to software development, from PoC planning through adoption.
Design and implement machine-learning algorithms using tabular, natural-language, and image data, then work with consultants and software engineers to turn client solutions into usable software.
Designs and builds AI agents and data platforms that model management KPIs, forecast scenarios, gather external insights, and generate reports to support company decision-making.
Designs and builds cloud-native data platforms for analytics, search, streaming, and generative AI, advising customers on architecture, governance, performance, and AI-agent use cases.
Design and demonstrate Microsoft Security solutions for education organizations, translating identity, device, cloud, compliance, and responsible AI needs into practical Zero Trust architectures.