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Description
Interacting with external customers, and collaborating with program management and engineering teams Monitoring pre and post-release public feedback to identify and call out new issues in the field Reporting on progress of seeding programs, assessment of incoming feedback, and other project status Develop and improve tools to automate, scale, and optimize workflows Investigating issues reported by our outside users through test reproduction, debugging, and diagnostics analysis Reviewing bugs and working with engineering teams to triage and appropriately prioritize response for top customer related issues Identifying trends and insights from large and complex data sets
Minimum Qualifications
BS, preferably Computer Science, Computer Engineering, Data Science, Statistics, Applied Math or related experience 4+ years of software engineering, project management, or related experience Ability to debug hard problems and investigate root cause analysis Comfortable and adaptable in a dynamic and informal environment, and able to respond to changing priorities quickly and expertly Excellent interpersonal, verbal and written communication skills Programming and scripting skills Hands-on experience with generative AI and large language models, including prompt engineering and building AI-powered automation workflows
Preferred Qualifications
Previous experience as a software or QA Engineer Real passion for user-focused design & high quality technology Self-motivated and dedicated with proven creative and critical thinking capabilities Customer focused, detail-oriented, and strong analytical skills Technical proficiency in data visualization (e.g., Tableau) a plus
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