Start.io is a mobile marketing and audience platform. We are seeking a hands-on AI Quality Engineer to drive the technical evolution of our QA organization through AI. This is a hands-on technical role with leadership elements, focused on building, experimenting and innovating. You will design and build AI-powered tools, agents, workflows and integrations used by QA engineers across the testing lifecycle—from test design and automation to test data generation, debugging and failure investigation. This is a hands-on technical leadership role with a strong focus on building, experimentation and innovation. What You'll Do: • Design, build and evolve AI-powered tools, agents and workflows that improve the efficiency and quality of the QA team. • Identify repetitive or high-impact QA activities and turn them into scalable AI-enabled solutions. • Build integrations between AI capabilities and our testing, engineering and internal systems. • Define technical standards and best practices for AI-powered QA solutions, including prompts, context, tools, agent workflows and human-in-the-loop processes. • Build mechanisms to evaluate AI output, measure quality and detect regressions. • Monitor and improve the reliability, performance and cost of AI-powered solutions. • Act as the technical focal point for AI within the QA team and help drive adoption, knowledge sharing and experimentation. • Work closely with QA engineers and engineering teams to turn real-world challenges into practical solutions. Requirements • 5+ years of hands-on experience in Software Quality Engineering

Start.io is a mobile marketing and audience platform. We are seeking a hands-on AI Quality Engineer to drive the technical evolution of our QA organization through AI. This is a hands-on technical role with leadership elements, focused on building, experimenting and innovating. You will design and build AI-powered tools, agents, workflows and integrations used by QA engineers across the testing lifecycle—from test design and automation to test data generation, debugging and failure investigation. This is a hands-on technical leadership role with a strong focus on building, experimentation and innovation. What You'll Do: • Design, build and evolve AI-powered tools, agents and workflows that improve the efficiency and quality of the QA team. • Identify repetitive or high-impact QA activities and turn them into scalable AI-enabled solutions. • Build integrations between AI capabilities and our testing, engineering and internal systems. • Define technical standards and best practices for AI-powered QA solutions, including prompts, context, tools, agent workflows and human-in-the-loop processes. • Build mechanisms to evaluate AI output, measure quality and detect regressions. • Monitor and improve the reliability, performance and cost of AI-powered solutions. • Act as the technical focal point for AI within the QA team and help drive adoption, knowledge sharing and experimentation. • Work closely with QA engineers and engineering teams to turn real-world challenges into practical solutions. Requirements • 5+ years of hands-on experience in Software Quality Engineering