Software has transformed the world. The ability to define, deliver and maintain software differentiates industry leaders, yet few businesses use AI to reach new heights. Our vision is to empower millions to build machine learning applications. CEOs, Senior Executives and Developers can use Vianai to turn AI into ROI.
AI • Data Science • Machine Learning • Software Development • artificial intelligence
51 - 200 employees
💰 $140M Series B on 2021-06
February 15
Software has transformed the world. The ability to define, deliver and maintain software differentiates industry leaders, yet few businesses use AI to reach new heights. Our vision is to empower millions to build machine learning applications. CEOs, Senior Executives and Developers can use Vianai to turn AI into ROI.
AI • Data Science • Machine Learning • Software Development • artificial intelligence
51 - 200 employees
💰 $140M Series B on 2021-06
• Drive development of Enterprise ML platform. • Collaborate with engineering, data science, and product teams. • Gather feature requests and prioritize product backlog. • Partner with clients to deliver innovative features. • Translate strategy into requirements for engineering teams. • Build documentation like opportunity briefs and product specs. • Act as liaison between engineering, sales, and customer success.
• BS/BA degree. • Major in Computer Science, Mathematics, Quantitative Economics, Data Science or equivalent, preferred. • 3-5 years as a Product Manager in a SaaS company, leading business analytics solutions; experience in ML Operations a big plus. • Experience managing clients' expectations through every stage of development. • Must be comfortable working in an agile software development environment – constantly prioritizing and negotiating tradeoff options. • Excellent project/time management, organizational, and customer service skills. • Strong leadership and interpersonal skills, ability to work collaboratively toward a common goal. • Excellent verbal and written communication skills with the ability to communicate with technical and non-technical audiences. • Comfortable in front of customers and curious about their pain points. • MS/MA degree. Major in Computer Science, Mathematics, Quantitative Economics, Data Science or equivalent, preferred. • Experience with data science, development, and software architecture experience are huge advantages.
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