integrate.ai
Artificial Intelligence • SaaS • Security
integrate. ai is a platform that facilitates secure data collaboration by allowing data science leaders to harness data silos without moving the data itself. The platform focuses on privacy-preserving data collaboration by enabling federated learning and analytics over distributed datasets while maintaining data privacy through technologies like differential privacy. integrate. ai supports model training, including deep learning and generalized linear models, using a serverless architecture that integrates with cloud services such as AWS and Azure. With tools for federated learning and exploratory data analysis, integrate. ai empowers developers and organizations to perform efficient data science and collaboration across varied environments and legal jurisdictions without compromising trust and compliance.
Senior Product Manager
Job not on LinkedIn
September 2
integrate.ai
Artificial Intelligence • SaaS • Security
integrate. ai is a platform that facilitates secure data collaboration by allowing data science leaders to harness data silos without moving the data itself. The platform focuses on privacy-preserving data collaboration by enabling federated learning and analytics over distributed datasets while maintaining data privacy through technologies like differential privacy. integrate. ai supports model training, including deep learning and generalized linear models, using a serverless architecture that integrates with cloud services such as AWS and Azure. With tools for federated learning and exploratory data analysis, integrate. ai empowers developers and organizations to perform efficient data science and collaboration across varied environments and legal jurisdictions without compromising trust and compliance.
📋 Description
• Own product outcomes end-to-end • Develop and own product roadmaps • Translate market insights into actionable specifications and user journeys • Work with leadership across engineering, science, and go-to-market • Establish product management best practices • Navigate technical complexity (federated learning and privacy enhancing data science) • Be an effective aggregator and synthesizer of diverse information sources
🎯 Requirements
• Strong grasp of product management fundamentals and an interest to mentor others • Thrive under energy and ambiguity of early-stage product development • AI-first mindset balancing curiosity with responsibility • Focus on shipping and obsess over the success of users • Comfortable interacting with engineers and machine learning scientists • Excellent written and verbal communication • 5+ years in B2B SaaS product management • Strong understanding of enterprise data and/or data science ecosystems • Experience with the productization of ML/AI technologies • Experience in insurance or financial-services data/model marketplaces is a big plus
🏖️ Benefits
• Our hybrid/remote and believe in balance • thoughtful parental leave program • twice-yearly performance calibrations • flexible work policies
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