What we’re looking for
SurveyMonkey’s mission is to power the curious so they can shape what’s next. For brave and ambitious teams, organizations, and communities, SurveyMonkey helps turn insights into action, empowering you to grow, innovate, and change what’s possible. In this role, your work will have a direct impact on SurveyMonkey's mission and our users. In this role, you will report to our Director of Product in the AI/ML and Analyze team. You will play a vital role across our product organization, coordinating with other product line PMs and cross-functional stakeholders in Machine Learning, Product, Engineering, Design, Growth, Sales, and Product Marketing. You will bring domain expertise in AI and ML, and develop a deep understanding of user problems to identify opportunities where AI/ML can help. The Machine Learning charter is pivotal to the future growth of SurveyMonkey and its position in the market vs other leading competitors.
What you’ll be working on
- Develop ML product and ML platform roadmap and requirements working with cross-functional teams to execute by planning and managing expectations with stakeholders across the company
- Work closely with other product managers to ship ML capabilities across the users’ survey journey.
- Work closely with engineering (data science and machine learning platform) to execute on the product roadmap
- Analyze data and other feedback sources to refine product delivery iteratively
- Work closely with our UX design and research teams to deeply understand our persona across various segments to drive the launch of various ML capabilities
- Stay current with the latest advancements in AI/ML and assess their potential application within SurveyMonkey.
We’d love to hear from people with
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field; advanced degree preferred.
- 5+ years of product management experience, with a focus on AI/ML products
- 2+ years delivering NLP based product features
- Strong understanding of AI and ML technologies and their applications.
- Proven ability to lead cross-functional teams and manage complex projects.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Experience working in an agile development environment.
- Passion for leveraging AI and ML to solve real-world problems and improve user experiences.
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