Product Manager, AI Quality
Partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap to ensure maximum value from Glean’s platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions while collaborating with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts to drive breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions.
Tech Lead Manager, Admin Console
The AI Outcomes Manager partners with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They lead strategic reviews and advise customers on their AI roadmap to maximize value from Glean’s platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions, collaborating with Product and R&D to shape priorities. Responsibilities include conducting discovery workshops, scoping pilots, guiding rollouts, and driving the breadth and depth of adoption of the Glean platform. The manager designs and builds AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. They also proactively identify expansion opportunities and drive engagement across teams and functions.
Senior Agent Product Manager - German Speaking
Own each stage of the AI Agent building process, including collaborating with engineering to design new product features, writing and testing prompt logic for specific customer use cases, and working with customers' executive teams to define their AI roadmap. Build, design, and optimize Enterprise-quality AI agents in collaboration with customers, embedding deeply within strategic customers to understand their business challenges and serve as their AI roadmap strategic advisor. Run tight feedback loops into Engineering to influence feature development based on customer needs. Represent Decagon externally by working closely with customers and prospects and participating in key deployments. Manage a portfolio of AI agents from end-to-end to dive deep into complex business problems, build elegant solutions, and scale them to millions of users.
Director of Product Management, Forward Deployed & Strategy
Design and develop the production lifecycle of full-stack AI applications while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure. Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, maintaining a responsive and production-ready environment. Build automated systems to monitor model performance and data drift across geographically dispersed environments to ensure reliability. Manage the technical lifecycle within diverse regulatory frameworks. Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building guardrails to prevent recurrence. Translate deep technical performance metrics into clear insights for senior international government officials. Partner with Engineering and ML teams to ensure lessons learned influence the technical architecture and decisions of future AI use cases.
AI Product Manager, Berlin
As an AI Product Manager at Air Apps, you will define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross-functional teams including engineering, design, and marketing to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.
AI Product Manager
As an AI Product Manager at Air Apps, you will define and drive the AI product roadmap ensuring alignment with business objectives and user needs. You will collaborate with cross-functional teams including engineering, design, and marketing to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.
Senior Product Manager
Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities; define and implement the future of the AI Engineering function at Hex as the company scales; hire and mentor an exceptional team of AI Engineers; support an exceptional developer and research experience for teams working with AI technology; deliver high-performing shared AI infrastructure, including search systems.
AI Product Manager
As an AI Product Manager, you will define and drive the AI product roadmap ensuring alignment with business objectives and user needs. You will collaborate with cross-functional teams including engineering, design, and marketing to develop and launch AI-powered features. Responsibilities include conducting market research and analyzing user feedback to identify opportunities for AI integration, working closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact, defining key performance indicators to measure success and iterating based on data-driven insights, staying up to date with AI trends, emerging technologies, and best practices, and ensuring ethical AI usage and compliance with data privacy regulations. This role is fully onsite in Lisbon, involving close in-person collaboration in a dynamic and fast-paced environment.
AI Product Manager
As an AI Product Manager at Air Apps, you will be responsible for defining and driving the AI product roadmap to ensure alignment with business objectives and user needs. You will collaborate with cross-functional teams including engineering, design, marketing, data scientists, and machine learning engineers to develop, launch, and scale AI-powered features. Your duties include conducting market research, analyzing user feedback to identify AI integration opportunities, optimizing AI models for accuracy and performance, defining KPIs to measure success, iterating products based on data-driven insights, staying informed about AI trends and emerging technologies, and ensuring ethical AI usage and compliance with data privacy regulations.
AI Product Manager, Rome
Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.
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