Snorkel AI, Inc.
Product Manager (Enterprise) Hybrid / San Francisco, CA
Snorkel AI, Inc., San Francisco, California, United States, 94199
We are recruiting a high caliber product manager to join the founding product team for Snorkel Flow, the data-centric development platform for enterprise AI.
In this role, you will work cross functionally with a world-class team across engineering, marketing, and sales to drive all product activities from vision to launch, including long-term product strategy, roadmapping, execution, and GTM support with key internal and external customers. You will also collaborate directly with our co-founding team, sales team, and solutions engineering team to translate a deep understanding of customer use cases into winning a product strategy + execution cadence. We’re looking for strong entrepreneurial product managers who can think big and execute well in a dynamic environment.
Main Responsibilities
Develop a deep understanding of customer needs and use-cases in the Data Science and Machine Learning domain Drive strategy and execution for data development platform and infrastructure Integrate competitive analysis, usability studies, research, and market analysis into product requirements Drive a tailored and business value-aligned technology evaluation process, enabling demos and presentations for customers and field experts Collaborate closely with prospects, channel partners, and our sales team to deliver solutions and channel feedback to inform and improve the product Champion creative solutions to build a process and partnership that is grounded in customer empathy and product best practices in a high-paced start-up environment Minimum Qualifications
5+ years product management experience or related industry experience with 2+ years experience in working closely with enterprise customers and channel partners in the enterprise software industry Educational background in computer science or related engineering practice Consistent track record of delivering products with cross-functional teams - engineering, design, sales, marketing, partnerships Excellent communication and storytelling skills to communicate sophisticated topics to a diverse set of both technical and business collaborators Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes Experience working with Data Platforms, Machine Learning stack, and common ML deployment patterns Ability to connect a customer's specific business problems to Snorkel's differentiated platform and unique approach to ML development.
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Develop a deep understanding of customer needs and use-cases in the Data Science and Machine Learning domain Drive strategy and execution for data development platform and infrastructure Integrate competitive analysis, usability studies, research, and market analysis into product requirements Drive a tailored and business value-aligned technology evaluation process, enabling demos and presentations for customers and field experts Collaborate closely with prospects, channel partners, and our sales team to deliver solutions and channel feedback to inform and improve the product Champion creative solutions to build a process and partnership that is grounded in customer empathy and product best practices in a high-paced start-up environment Minimum Qualifications
5+ years product management experience or related industry experience with 2+ years experience in working closely with enterprise customers and channel partners in the enterprise software industry Educational background in computer science or related engineering practice Consistent track record of delivering products with cross-functional teams - engineering, design, sales, marketing, partnerships Excellent communication and storytelling skills to communicate sophisticated topics to a diverse set of both technical and business collaborators Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes Experience working with Data Platforms, Machine Learning stack, and common ML deployment patterns Ability to connect a customer's specific business problems to Snorkel's differentiated platform and unique approach to ML development.
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